Intrinsic Electrophysiology
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1CitationThe morphological diversity of SST interneurons described in {ref}
sec-morphological-diversity— from layer 1-targeting Martinotti cells to locally arborizing non-Martinotti types — implies corresponding diversity in intrinsic electrical properties. Dendritic geometry constrains passive integration, soma size influences input resistance, and axonal targeting determines the temporal precision required of spike gener...content/05_intrinsic_electrophysiology.md:line 3Open reference The morphological diversity of SST interneurons described in{ref}sec-morphological-diversity— from layer 1-targeting Martinotti cells to locally arborizing non-Martinotti types — implies corresponding diversity in intrinsic electrical properties. Dendritic geometry constrains passive integration, soma size influences input resistance, and axonal targeting determines the temporal precision required of spike gener... -
2CitationThe morphological diversity of SST interneurons described in {ref}
sec-morphological-diversity— from layer 1-targeting Martinotti cells to locally arborizing non-Martinotti types — implies corresponding diversity in intrinsic electrical properties. Dendritic geometry constrains passive integration, soma size influences input resistance, and axonal targeting determines the temporal precision required of spike gener...content/05_intrinsic_electrophysiology.md:line 3Open reference The morphological diversity of SST interneurons described in{ref}sec-morphological-diversity— from layer 1-targeting Martinotti cells to locally arborizing non-Martinotti types — implies corresponding diversity in intrinsic electrical properties. Dendritic geometry constrains passive integration, soma size influences input resistance, and axonal targeting determines the temporal precision required of spike gener... -
3CitationA pivotal advance came from [Ma2006], who exploited GFP-expressing transgenic mouse lines to access distinct SST subpopulations. In the X98 line, GFP-positive neurons were infragranular, calbindin-containing, layer 1-targeting Martinotti cells that displayed a propensity to fire low-threshold calcium spikes, whereas X94 GFP-positive cells were quasi-fast-spiking stuttering interneurons residing in and targeting the...content/05_intrinsic_electrophysiology.md:line 11Open reference A pivotal advance came from 3CitationA pivotal advance came from [Ma2006], who exploited GFP-expressing transgenic mouse lines to access distinct SST subpopulations. In the X98 line, GFP-positive neurons were infragranular, calbindin-containing, layer 1-targeting Martinotti cells that displayed a propensity to fire low-threshold calcium spikes, whereas X94 GFP-positive cells were quasi-fast-spiking stuttering interneurons residing in and targeting the...content/05_intrinsic_electrophysiology.md:line 11Open reference, who exploited GFP-expressing transgenic mouse lines to access distinct SST subpopulations. In the X98 line, GFP-positive neurons were infragranular, calbindin-containing, layer 1-targeting Martinotti cells that displayed a propensity to fire low-threshold calcium spikes, whereas X94 GFP-positive cells were quasi-fast-spiking stuttering interneurons residing in and targeting the...
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3CitationA pivotal advance came from [Ma2006], who exploited GFP-expressing transgenic mouse lines to access distinct SST subpopulations. In the X98 line, GFP-positive neurons were infragranular, calbindin-containing, layer 1-targeting Martinotti cells that displayed a propensity to fire low-threshold calcium spikes, whereas X94 GFP-positive cells were quasi-fast-spiking stuttering interneurons residing in and targeting the...content/05_intrinsic_electrophysiology.md:line 11Open reference A pivotal advance came from 3CitationA pivotal advance came from [Ma2006], who exploited GFP-expressing transgenic mouse lines to access distinct SST subpopulations. In the X98 line, GFP-positive neurons were infragranular, calbindin-containing, layer 1-targeting Martinotti cells that displayed a propensity to fire low-threshold calcium spikes, whereas X94 GFP-positive cells were quasi-fast-spiking stuttering interneurons residing in and targeting the...content/05_intrinsic_electrophysiology.md:line 11Open reference, who exploited GFP-expressing transgenic mouse lines to access distinct SST subpopulations. In the X98 line, GFP-positive neurons were infragranular, calbindin-containing, layer 1-targeting Martinotti cells that displayed a propensity to fire low-threshold calcium spikes, whereas X94 GFP-positive cells were quasi-fast-spiking stuttering interneurons residing in and targeting the...
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1CitationThe morphological diversity of SST interneurons described in {ref}
sec-morphological-diversity— from layer 1-targeting Martinotti cells to locally arborizing non-Martinotti types — implies corresponding diversity in intrinsic electrical properties. Dendritic geometry constrains passive integration, soma size influences input resistance, and axonal targeting determines the temporal precision required of spike gener...content/05_intrinsic_electrophysiology.md:line 3Open reference 1CitationThe morphological diversity of SST interneurons described in {ref}sec-morphological-diversity— from layer 1-targeting Martinotti cells to locally arborizing non-Martinotti types — implies corresponding diversity in intrinsic electrical properties. Dendritic geometry constrains passive integration, soma size influences input resistance, and axonal targeting determines the temporal precision required of spike gener...content/05_intrinsic_electrophysiology.md:line 3Open reference extended this taxonomy further, demonstrating in layer 5 alone the existence of three morpho-electrophysiological subtypes: T-shaped Martinotti cells innervating layer 1 that were low-threshold spiking, fanning-out Martinotti cells innervating layers 2/3 that were regular-spiking and adapting, and non-Martinotti cells with local layer 5 arbors that exhibited quasi-fast-spiking properties 1CitationThe morphological diversity of SST interneurons described in {ref}sec-morphological-diversity— from layer 1-targeting Martinotti cells to locally arborizing non-Martinotti types — implies corresponding diversity in intrinsic electrical properties. Dendritic geometry constrains passive integration, soma size influences input resistance, and axonal targeting determines the temporal precision required of spike gener...content/05_intrinsic_electrophysiology.md:line 3Open reference. Tha... -
1CitationThe morphological diversity of SST interneurons described in {ref}
sec-morphological-diversity— from layer 1-targeting Martinotti cells to locally arborizing non-Martinotti types — implies corresponding diversity in intrinsic electrical properties. Dendritic geometry constrains passive integration, soma size influences input resistance, and axonal targeting determines the temporal precision required of spike gener...content/05_intrinsic_electrophysiology.md:line 3Open reference 2CitationThe morphological diversity of SST interneurons described in {ref}sec-morphological-diversity— from layer 1-targeting Martinotti cells to locally arborizing non-Martinotti types — implies corresponding diversity in intrinsic electrical properties. Dendritic geometry constrains passive integration, soma size influences input resistance, and axonal targeting determines the temporal precision required of spike gener...content/05_intrinsic_electrophysiology.md:line 3Open reference0 extended this taxonomy further, demonstrating in layer 5 alone the existence of three morpho-electrophysiological subtypes: T-shaped Martinotti cells innervating layer 1 that were low-threshold spiking, fanning-out Martinotti cells innervating layers 2/3 that were regular-spiking and adapting, and non-Martinotti cells with local layer 5 arbors that exhibited quasi-fast-spiking properties 2CitationThe morphological diversity of SST interneurons described in {ref}sec-morphological-diversity— from layer 1-targeting Martinotti cells to locally arborizing non-Martinotti types — implies corresponding diversity in intrinsic electrical properties. Dendritic geometry constrains passive integration, soma size influences input resistance, and axonal targeting determines the temporal precision required of spike gener...content/05_intrinsic_electrophysiology.md:line 3Open reference1. Tha... -
2CitationThe morphological diversity of SST interneurons described in {ref}
sec-morphological-diversity— from layer 1-targeting Martinotti cells to locally arborizing non-Martinotti types — implies corresponding diversity in intrinsic electrical properties. Dendritic geometry constrains passive integration, soma size influences input resistance, and axonal targeting determines the temporal precision required of spike gener...content/05_intrinsic_electrophysiology.md:line 3Open reference2 The emergence of Patch-seq — combined patch-clamp recording and single-cell sequencing — has provided a molecular anchor for electrophysiological classification, though with its own complications. 2CitationThe morphological diversity of SST interneurons described in {ref}sec-morphological-diversity— from layer 1-targeting Martinotti cells to locally arborizing non-Martinotti types — implies corresponding diversity in intrinsic electrical properties. Dendritic geometry constrains passive integration, soma size influences input resistance, and axonal targeting determines the temporal precision required of spike gener...content/05_intrinsic_electrophysiology.md:line 3Open reference3 identified multiple morpho-electro-transcriptomic (MET) types among SST interneurons, noting that the Sst-MET 5 type expresses lower levels of Chrna2 but shares with Sst-MET 6 high expression of CoupTFII/N... -
2CitationThe morphological diversity of SST interneurons described in {ref}
sec-morphological-diversity— from layer 1-targeting Martinotti cells to locally arborizing non-Martinotti types — implies corresponding diversity in intrinsic electrical properties. Dendritic geometry constrains passive integration, soma size influences input resistance, and axonal targeting determines the temporal precision required of spike gener...content/05_intrinsic_electrophysiology.md:line 3Open reference4 The emergence of Patch-seq — combined patch-clamp recording and single-cell sequencing — has provided a molecular anchor for electrophysiological classification, though with its own complications. 2CitationThe morphological diversity of SST interneurons described in {ref}sec-morphological-diversity— from layer 1-targeting Martinotti cells to locally arborizing non-Martinotti types — implies corresponding diversity in intrinsic electrical properties. Dendritic geometry constrains passive integration, soma size influences input resistance, and axonal targeting determines the temporal precision required of spike gener...content/05_intrinsic_electrophysiology.md:line 3Open reference5 identified multiple morpho-electro-transcriptomic (MET) types among SST interneurons, noting that the Sst-MET 5 type expresses lower levels of Chrna2 but shares with Sst-MET 6 high expression of CoupTFII/N... -
2CitationThe morphological diversity of SST interneurons described in {ref}
sec-morphological-diversity— from layer 1-targeting Martinotti cells to locally arborizing non-Martinotti types — implies corresponding diversity in intrinsic electrical properties. Dendritic geometry constrains passive integration, soma size influences input resistance, and axonal targeting determines the temporal precision required of spike gener...content/05_intrinsic_electrophysiology.md:line 3Open reference6 The emergence of Patch-seq — combined patch-clamp recording and single-cell sequencing — has provided a molecular anchor for electrophysiological classification, though with its own complications. 2CitationThe morphological diversity of SST interneurons described in {ref}sec-morphological-diversity— from layer 1-targeting Martinotti cells to locally arborizing non-Martinotti types — implies corresponding diversity in intrinsic electrical properties. Dendritic geometry constrains passive integration, soma size influences input resistance, and axonal targeting determines the temporal precision required of spike gener...content/05_intrinsic_electrophysiology.md:line 3Open reference7 identified multiple morpho-electro-transcriptomic (MET) types among SST interneurons, noting that the Sst-MET 5 type expresses lower levels of Chrna2 but shares with Sst-MET 6 high expression of CoupTFII/N... -
2CitationThe morphological diversity of SST interneurons described in {ref}
sec-morphological-diversity— from layer 1-targeting Martinotti cells to locally arborizing non-Martinotti types — implies corresponding diversity in intrinsic electrical properties. Dendritic geometry constrains passive integration, soma size influences input resistance, and axonal targeting determines the temporal precision required of spike gener...content/05_intrinsic_electrophysiology.md:line 3Open reference8 In the hippocampus, 2CitationThe morphological diversity of SST interneurons described in {ref}sec-morphological-diversity— from layer 1-targeting Martinotti cells to locally arborizing non-Martinotti types — implies corresponding diversity in intrinsic electrical properties. Dendritic geometry constrains passive integration, soma size influences input resistance, and axonal targeting determines the temporal precision required of spike gener...content/05_intrinsic_electrophysiology.md:line 3Open reference9 designed an approach to identify and access subpopulations of SST interneurons based on transcriptomic features, providing a framework to translate neuronal transcriptomic identity into discrete functional subtypes that capture the diverse specializations of hippocampal SST interneurons 3CitationA pivotal advance came from [Ma2006], who exploited GFP-expressing transgenic mouse lines to access distinct SST subpopulations. In the X98 line, GFP-positive neurons were infragranular, calbindin-containing, layer 1-targeting Martinotti cells that displayed a propensity to fire low-threshold calcium spikes, whereas X94 GFP-positive cells were quasi-fast-spiking stuttering interneurons residing in and targeting the...content/05_intrinsic_electrophysiology.md:line 11Open reference0. 3CitationA pivotal advance came from [Ma2006], who exploited GFP-expressing transgenic mouse lines to access distinct SST subpopulations. In the X98 line, GFP-positive neurons were infragranular, calbindin-containing, layer 1-targeting Martinotti cells that displayed a propensity to fire low-threshold calcium spikes, whereas X94 GFP-positive cells were quasi-fast-spiking stuttering interneurons residing in and targeting the...content/05_intrinsic_electrophysiology.md:line 11Open reference1 demonstrated that molecular identification with FISH and classif... -
3CitationA pivotal advance came from [Ma2006], who exploited GFP-expressing transgenic mouse lines to access distinct SST subpopulations. In the X98 line, GFP-positive neurons were infragranular, calbindin-containing, layer 1-targeting Martinotti cells that displayed a propensity to fire low-threshold calcium spikes, whereas X94 GFP-positive cells were quasi-fast-spiking stuttering interneurons residing in and targeting the...content/05_intrinsic_electrophysiology.md:line 11Open reference2 In the hippocampus, 3CitationA pivotal advance came from [Ma2006], who exploited GFP-expressing transgenic mouse lines to access distinct SST subpopulations. In the X98 line, GFP-positive neurons were infragranular, calbindin-containing, layer 1-targeting Martinotti cells that displayed a propensity to fire low-threshold calcium spikes, whereas X94 GFP-positive cells were quasi-fast-spiking stuttering interneurons residing in and targeting the...content/05_intrinsic_electrophysiology.md:line 11Open reference3 designed an approach to identify and access subpopulations of SST interneurons based on transcriptomic features, providing a framework to translate neuronal transcriptomic identity into discrete functional subtypes that capture the diverse specializations of hippocampal SST interneurons 3CitationA pivotal advance came from [Ma2006], who exploited GFP-expressing transgenic mouse lines to access distinct SST subpopulations. In the X98 line, GFP-positive neurons were infragranular, calbindin-containing, layer 1-targeting Martinotti cells that displayed a propensity to fire low-threshold calcium spikes, whereas X94 GFP-positive cells were quasi-fast-spiking stuttering interneurons residing in and targeting the...content/05_intrinsic_electrophysiology.md:line 11Open reference4. 3CitationA pivotal advance came from [Ma2006], who exploited GFP-expressing transgenic mouse lines to access distinct SST subpopulations. In the X98 line, GFP-positive neurons were infragranular, calbindin-containing, layer 1-targeting Martinotti cells that displayed a propensity to fire low-threshold calcium spikes, whereas X94 GFP-positive cells were quasi-fast-spiking stuttering interneurons residing in and targeting the...content/05_intrinsic_electrophysiology.md:line 11Open reference5 demonstrated that molecular identification with FISH and classif...
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3CitationA pivotal advance came from [Ma2006], who exploited GFP-expressing transgenic mouse lines to access distinct SST subpopulations. In the X98 line, GFP-positive neurons were infragranular, calbindin-containing, layer 1-targeting Martinotti cells that displayed a propensity to fire low-threshold calcium spikes, whereas X94 GFP-positive cells were quasi-fast-spiking stuttering interneurons residing in and targeting the...content/05_intrinsic_electrophysiology.md:line 11Open reference6 In the hippocampus, 3CitationA pivotal advance came from [Ma2006], who exploited GFP-expressing transgenic mouse lines to access distinct SST subpopulations. In the X98 line, GFP-positive neurons were infragranular, calbindin-containing, layer 1-targeting Martinotti cells that displayed a propensity to fire low-threshold calcium spikes, whereas X94 GFP-positive cells were quasi-fast-spiking stuttering interneurons residing in and targeting the...content/05_intrinsic_electrophysiology.md:line 11Open reference7 designed an approach to identify and access subpopulations of SST interneurons based on transcriptomic features, providing a framework to translate neuronal transcriptomic identity into discrete functional subtypes that capture the diverse specializations of hippocampal SST interneurons 3CitationA pivotal advance came from [Ma2006], who exploited GFP-expressing transgenic mouse lines to access distinct SST subpopulations. In the X98 line, GFP-positive neurons were infragranular, calbindin-containing, layer 1-targeting Martinotti cells that displayed a propensity to fire low-threshold calcium spikes, whereas X94 GFP-positive cells were quasi-fast-spiking stuttering interneurons residing in and targeting the...content/05_intrinsic_electrophysiology.md:line 11Open reference8. 3CitationA pivotal advance came from [Ma2006], who exploited GFP-expressing transgenic mouse lines to access distinct SST subpopulations. In the X98 line, GFP-positive neurons were infragranular, calbindin-containing, layer 1-targeting Martinotti cells that displayed a propensity to fire low-threshold calcium spikes, whereas X94 GFP-positive cells were quasi-fast-spiking stuttering interneurons residing in and targeting the...content/05_intrinsic_electrophysiology.md:line 11Open reference9 demonstrated that molecular identification with FISH and classif...
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3CitationA pivotal advance came from [Ma2006], who exploited GFP-expressing transgenic mouse lines to access distinct SST subpopulations. In the X98 line, GFP-positive neurons were infragranular, calbindin-containing, layer 1-targeting Martinotti cells that displayed a propensity to fire low-threshold calcium spikes, whereas X94 GFP-positive cells were quasi-fast-spiking stuttering interneurons residing in and targeting the...content/05_intrinsic_electrophysiology.md:line 11Open reference0 In the hippocampus, 3CitationA pivotal advance came from [Ma2006], who exploited GFP-expressing transgenic mouse lines to access distinct SST subpopulations. In the X98 line, GFP-positive neurons were infragranular, calbindin-containing, layer 1-targeting Martinotti cells that displayed a propensity to fire low-threshold calcium spikes, whereas X94 GFP-positive cells were quasi-fast-spiking stuttering interneurons residing in and targeting the...content/05_intrinsic_electrophysiology.md:line 11Open reference1 designed an approach to identify and access subpopulations of SST interneurons based on transcriptomic features, providing a framework to translate neuronal transcriptomic identity into discrete functional subtypes that capture the diverse specializations of hippocampal SST interneurons 3CitationA pivotal advance came from [Ma2006], who exploited GFP-expressing transgenic mouse lines to access distinct SST subpopulations. In the X98 line, GFP-positive neurons were infragranular, calbindin-containing, layer 1-targeting Martinotti cells that displayed a propensity to fire low-threshold calcium spikes, whereas X94 GFP-positive cells were quasi-fast-spiking stuttering interneurons residing in and targeting the...content/05_intrinsic_electrophysiology.md:line 11Open reference2. 3CitationA pivotal advance came from [Ma2006], who exploited GFP-expressing transgenic mouse lines to access distinct SST subpopulations. In the X98 line, GFP-positive neurons were infragranular, calbindin-containing, layer 1-targeting Martinotti cells that displayed a propensity to fire low-threshold calcium spikes, whereas X94 GFP-positive cells were quasi-fast-spiking stuttering interneurons residing in and targeting the...content/05_intrinsic_electrophysiology.md:line 11Open reference3 demonstrated that molecular identification with FISH and classif...
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3CitationA pivotal advance came from [Ma2006], who exploited GFP-expressing transgenic mouse lines to access distinct SST subpopulations. In the X98 line, GFP-positive neurons were infragranular, calbindin-containing, layer 1-targeting Martinotti cells that displayed a propensity to fire low-threshold calcium spikes, whereas X94 GFP-positive cells were quasi-fast-spiking stuttering interneurons residing in and targeting the...content/05_intrinsic_electrophysiology.md:line 11Open reference4 In the hippocampus, 3CitationA pivotal advance came from [Ma2006], who exploited GFP-expressing transgenic mouse lines to access distinct SST subpopulations. In the X98 line, GFP-positive neurons were infragranular, calbindin-containing, layer 1-targeting Martinotti cells that displayed a propensity to fire low-threshold calcium spikes, whereas X94 GFP-positive cells were quasi-fast-spiking stuttering interneurons residing in and targeting the...content/05_intrinsic_electrophysiology.md:line 11Open reference5 designed an approach to identify and access subpopulations of SST interneurons based on transcriptomic features, providing a framework to translate neuronal transcriptomic identity into discrete functional subtypes that capture the diverse specializations of hippocampal SST interneurons 3CitationA pivotal advance came from [Ma2006], who exploited GFP-expressing transgenic mouse lines to access distinct SST subpopulations. In the X98 line, GFP-positive neurons were infragranular, calbindin-containing, layer 1-targeting Martinotti cells that displayed a propensity to fire low-threshold calcium spikes, whereas X94 GFP-positive cells were quasi-fast-spiking stuttering interneurons residing in and targeting the...content/05_intrinsic_electrophysiology.md:line 11Open reference6. 3CitationA pivotal advance came from [Ma2006], who exploited GFP-expressing transgenic mouse lines to access distinct SST subpopulations. In the X98 line, GFP-positive neurons were infragranular, calbindin-containing, layer 1-targeting Martinotti cells that displayed a propensity to fire low-threshold calcium spikes, whereas X94 GFP-positive cells were quasi-fast-spiking stuttering interneurons residing in and targeting the...content/05_intrinsic_electrophysiology.md:line 11Open reference7 demonstrated that molecular identification with FISH and classif...
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3CitationA pivotal advance came from [Ma2006], who exploited GFP-expressing transgenic mouse lines to access distinct SST subpopulations. In the X98 line, GFP-positive neurons were infragranular, calbindin-containing, layer 1-targeting Martinotti cells that displayed a propensity to fire low-threshold calcium spikes, whereas X94 GFP-positive cells were quasi-fast-spiking stuttering interneurons residing in and targeting the...content/05_intrinsic_electrophysiology.md:line 11Open reference8 In the hippocampus, 3CitationA pivotal advance came from [Ma2006], who exploited GFP-expressing transgenic mouse lines to access distinct SST subpopulations. In the X98 line, GFP-positive neurons were infragranular, calbindin-containing, layer 1-targeting Martinotti cells that displayed a propensity to fire low-threshold calcium spikes, whereas X94 GFP-positive cells were quasi-fast-spiking stuttering interneurons residing in and targeting the...content/05_intrinsic_electrophysiology.md:line 11Open reference9 designed an approach to identify and access subpopulations of SST interneurons based on transcriptomic features, providing a framework to translate neuronal transcriptomic identity into discrete functional subtypes that capture the diverse specializations of hippocampal SST interneurons 3CitationA pivotal advance came from [Ma2006], who exploited GFP-expressing transgenic mouse lines to access distinct SST subpopulations. In the X98 line, GFP-positive neurons were infragranular, calbindin-containing, layer 1-targeting Martinotti cells that displayed a propensity to fire low-threshold calcium spikes, whereas X94 GFP-positive cells were quasi-fast-spiking stuttering interneurons residing in and targeting the...content/05_intrinsic_electrophysiology.md:line 11Open reference0. 3CitationA pivotal advance came from [Ma2006], who exploited GFP-expressing transgenic mouse lines to access distinct SST subpopulations. In the X98 line, GFP-positive neurons were infragranular, calbindin-containing, layer 1-targeting Martinotti cells that displayed a propensity to fire low-threshold calcium spikes, whereas X94 GFP-positive cells were quasi-fast-spiking stuttering interneurons residing in and targeting the...content/05_intrinsic_electrophysiology.md:line 11Open reference1 demonstrated that molecular identification with FISH and classif...
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3CitationA pivotal advance came from [Ma2006], who exploited GFP-expressing transgenic mouse lines to access distinct SST subpopulations. In the X98 line, GFP-positive neurons were infragranular, calbindin-containing, layer 1-targeting Martinotti cells that displayed a propensity to fire low-threshold calcium spikes, whereas X94 GFP-positive cells were quasi-fast-spiking stuttering interneurons residing in and targeting the...content/05_intrinsic_electrophysiology.md:line 11Open reference2 A critical methodological caveat applies to all Patch-seq and slice-based studies: 3CitationA pivotal advance came from [Ma2006], who exploited GFP-expressing transgenic mouse lines to access distinct SST subpopulations. In the X98 line, GFP-positive neurons were infragranular, calbindin-containing, layer 1-targeting Martinotti cells that displayed a propensity to fire low-threshold calcium spikes, whereas X94 GFP-positive cells were quasi-fast-spiking stuttering interneurons residing in and targeting the...content/05_intrinsic_electrophysiology.md:line 11Open reference3 demonstrated that activated microglia may be widely present across brain slice preparations and contribute to neuron- and donor-related electrophysiological variability 3CitationA pivotal advance came from [Ma2006], who exploited GFP-expressing transgenic mouse lines to access distinct SST subpopulations. In the X98 line, GFP-positive neurons were infragranular, calbindin-containing, layer 1-targeting Martinotti cells that displayed a propensity to fire low-threshold calcium spikes, whereas X94 GFP-positive cells were quasi-fast-spiking stuttering interneurons residing in and targeting the...content/05_intrinsic_electrophysiology.md:line 11Open reference4. This tissue-health confound is rarely quantified, yet it could systematically bias passive property measurements — particularly input resist...
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3CitationA pivotal advance came from [Ma2006], who exploited GFP-expressing transgenic mouse lines to access distinct SST subpopulations. In the X98 line, GFP-positive neurons were infragranular, calbindin-containing, layer 1-targeting Martinotti cells that displayed a propensity to fire low-threshold calcium spikes, whereas X94 GFP-positive cells were quasi-fast-spiking stuttering interneurons residing in and targeting the...content/05_intrinsic_electrophysiology.md:line 11Open reference5 A critical methodological caveat applies to all Patch-seq and slice-based studies: 3CitationA pivotal advance came from [Ma2006], who exploited GFP-expressing transgenic mouse lines to access distinct SST subpopulations. In the X98 line, GFP-positive neurons were infragranular, calbindin-containing, layer 1-targeting Martinotti cells that displayed a propensity to fire low-threshold calcium spikes, whereas X94 GFP-positive cells were quasi-fast-spiking stuttering interneurons residing in and targeting the...content/05_intrinsic_electrophysiology.md:line 11Open reference6 demonstrated that activated microglia may be widely present across brain slice preparations and contribute to neuron- and donor-related electrophysiological variability 3CitationA pivotal advance came from [Ma2006], who exploited GFP-expressing transgenic mouse lines to access distinct SST subpopulations. In the X98 line, GFP-positive neurons were infragranular, calbindin-containing, layer 1-targeting Martinotti cells that displayed a propensity to fire low-threshold calcium spikes, whereas X94 GFP-positive cells were quasi-fast-spiking stuttering interneurons residing in and targeting the...content/05_intrinsic_electrophysiology.md:line 11Open reference7. This tissue-health confound is rarely quantified, yet it could systematically bias passive property measurements — particularly input resist...
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3CitationA pivotal advance came from [Ma2006], who exploited GFP-expressing transgenic mouse lines to access distinct SST subpopulations. In the X98 line, GFP-positive neurons were infragranular, calbindin-containing, layer 1-targeting Martinotti cells that displayed a propensity to fire low-threshold calcium spikes, whereas X94 GFP-positive cells were quasi-fast-spiking stuttering interneurons residing in and targeting the...content/05_intrinsic_electrophysiology.md:line 11Open reference8 The firing pattern taxonomy of SST interneurons lacks standardization. Subsequent work classified SST neurons as burst-spiking or regular-spiking. 3CitationA pivotal advance came from [Ma2006], who exploited GFP-expressing transgenic mouse lines to access distinct SST subpopulations. In the X98 line, GFP-positive neurons were infragranular, calbindin-containing, layer 1-targeting Martinotti cells that displayed a propensity to fire low-threshold calcium spikes, whereas X94 GFP-positive cells were quasi-fast-spiking stuttering interneurons residing in and targeting the...content/05_intrinsic_electrophysiology.md:line 11Open reference9 introduced the LTS versus quasi-fast-spiking distinction based on X98/X94 lines. 3CitationA pivotal advance came from [Ma2006], who exploited GFP-expressing transgenic mouse lines to access distinct SST subpopulations. In the X98 line, GFP-positive neurons were infragranular, calbindin-containing, layer 1-targeting Martinotti cells that displayed a propensity to fire low-threshold calcium spikes, whereas X94 GFP-positive cells were quasi-fast-spiking stuttering interneurons residing in and targeting the...content/05_intrinsic_electrophysiology.md:line 11Open reference0 identified three subtypes in layer 5 alone. Patch-seq studies add further subdivisions 3CitationA pivotal advance came from [Ma2006], who exploited GFP-expressing transgenic mouse lines to access distinct SST subpopulations. In the X98 line, GFP-positive neurons were infragranular, calbindin-containing, layer 1-targeting Martinotti cells that displayed a propensity to fire low-threshold calcium spikes, whereas X94 GFP-positive cells were quasi-fast-spiking stuttering interneurons residing in and targeting the...content/05_intrinsic_electrophysiology.md:line 11Open reference1. Whether these represent a genuine continuum of f...
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3CitationA pivotal advance came from [Ma2006], who exploited GFP-expressing transgenic mouse lines to access distinct SST subpopulations. In the X98 line, GFP-positive neurons were infragranular, calbindin-containing, layer 1-targeting Martinotti cells that displayed a propensity to fire low-threshold calcium spikes, whereas X94 GFP-positive cells were quasi-fast-spiking stuttering interneurons residing in and targeting the...content/05_intrinsic_electrophysiology.md:line 11Open reference2 The firing pattern taxonomy of SST interneurons lacks standardization. Subsequent work classified SST neurons as burst-spiking or regular-spiking. 3CitationA pivotal advance came from [Ma2006], who exploited GFP-expressing transgenic mouse lines to access distinct SST subpopulations. In the X98 line, GFP-positive neurons were infragranular, calbindin-containing, layer 1-targeting Martinotti cells that displayed a propensity to fire low-threshold calcium spikes, whereas X94 GFP-positive cells were quasi-fast-spiking stuttering interneurons residing in and targeting the...content/05_intrinsic_electrophysiology.md:line 11Open reference3 introduced the LTS versus quasi-fast-spiking distinction based on X98/X94 lines. 3CitationA pivotal advance came from [Ma2006], who exploited GFP-expressing transgenic mouse lines to access distinct SST subpopulations. In the X98 line, GFP-positive neurons were infragranular, calbindin-containing, layer 1-targeting Martinotti cells that displayed a propensity to fire low-threshold calcium spikes, whereas X94 GFP-positive cells were quasi-fast-spiking stuttering interneurons residing in and targeting the...content/05_intrinsic_electrophysiology.md:line 11Open reference4 identified three subtypes in layer 5 alone. Patch-seq studies add further subdivisions 3CitationA pivotal advance came from [Ma2006], who exploited GFP-expressing transgenic mouse lines to access distinct SST subpopulations. In the X98 line, GFP-positive neurons were infragranular, calbindin-containing, layer 1-targeting Martinotti cells that displayed a propensity to fire low-threshold calcium spikes, whereas X94 GFP-positive cells were quasi-fast-spiking stuttering interneurons residing in and targeting the...content/05_intrinsic_electrophysiology.md:line 11Open reference5. Whether these represent a genuine continuum of f...
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3CitationA pivotal advance came from [Ma2006], who exploited GFP-expressing transgenic mouse lines to access distinct SST subpopulations. In the X98 line, GFP-positive neurons were infragranular, calbindin-containing, layer 1-targeting Martinotti cells that displayed a propensity to fire low-threshold calcium spikes, whereas X94 GFP-positive cells were quasi-fast-spiking stuttering interneurons residing in and targeting the...content/05_intrinsic_electrophysiology.md:line 11Open reference6 The firing pattern taxonomy of SST interneurons lacks standardization. Subsequent work classified SST neurons as burst-spiking or regular-spiking. 3CitationA pivotal advance came from [Ma2006], who exploited GFP-expressing transgenic mouse lines to access distinct SST subpopulations. In the X98 line, GFP-positive neurons were infragranular, calbindin-containing, layer 1-targeting Martinotti cells that displayed a propensity to fire low-threshold calcium spikes, whereas X94 GFP-positive cells were quasi-fast-spiking stuttering interneurons residing in and targeting the...content/05_intrinsic_electrophysiology.md:line 11Open reference7 introduced the LTS versus quasi-fast-spiking distinction based on X98/X94 lines. 3CitationA pivotal advance came from [Ma2006], who exploited GFP-expressing transgenic mouse lines to access distinct SST subpopulations. In the X98 line, GFP-positive neurons were infragranular, calbindin-containing, layer 1-targeting Martinotti cells that displayed a propensity to fire low-threshold calcium spikes, whereas X94 GFP-positive cells were quasi-fast-spiking stuttering interneurons residing in and targeting the...content/05_intrinsic_electrophysiology.md:line 11Open reference8 identified three subtypes in layer 5 alone. Patch-seq studies add further subdivisions 3CitationA pivotal advance came from [Ma2006], who exploited GFP-expressing transgenic mouse lines to access distinct SST subpopulations. In the X98 line, GFP-positive neurons were infragranular, calbindin-containing, layer 1-targeting Martinotti cells that displayed a propensity to fire low-threshold calcium spikes, whereas X94 GFP-positive cells were quasi-fast-spiking stuttering interneurons residing in and targeting the...content/05_intrinsic_electrophysiology.md:line 11Open reference9. Whether these represent a genuine continuum of f...
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1CitationThe morphological diversity of SST interneurons described in {ref}
sec-morphological-diversity— from layer 1-targeting Martinotti cells to locally arborizing non-Martinotti types — implies corresponding diversity in intrinsic electrical properties. Dendritic geometry constrains passive integration, soma size influences input resistance, and axonal targeting determines the temporal precision required of spike gener...content/05_intrinsic_electrophysiology.md:line 3Open reference0 The firing pattern taxonomy of SST interneurons lacks standardization. Subsequent work classified SST neurons as burst-spiking or regular-spiking. 1CitationThe morphological diversity of SST interneurons described in {ref}sec-morphological-diversity— from layer 1-targeting Martinotti cells to locally arborizing non-Martinotti types — implies corresponding diversity in intrinsic electrical properties. Dendritic geometry constrains passive integration, soma size influences input resistance, and axonal targeting determines the temporal precision required of spike gener...content/05_intrinsic_electrophysiology.md:line 3Open reference1 introduced the LTS versus quasi-fast-spiking distinction based on X98/X94 lines. 1CitationThe morphological diversity of SST interneurons described in {ref}sec-morphological-diversity— from layer 1-targeting Martinotti cells to locally arborizing non-Martinotti types — implies corresponding diversity in intrinsic electrical properties. Dendritic geometry constrains passive integration, soma size influences input resistance, and axonal targeting determines the temporal precision required of spike gener...content/05_intrinsic_electrophysiology.md:line 3Open reference2 identified three subtypes in layer 5 alone. Patch-seq studies add further subdivisions 1CitationThe morphological diversity of SST interneurons described in {ref}sec-morphological-diversity— from layer 1-targeting Martinotti cells to locally arborizing non-Martinotti types — implies corresponding diversity in intrinsic electrical properties. Dendritic geometry constrains passive integration, soma size influences input resistance, and axonal targeting determines the temporal precision required of spike gener...content/05_intrinsic_electrophysiology.md:line 3Open reference3. Whether these represent a genuine continuum of f... -
1CitationThe morphological diversity of SST interneurons described in {ref}
sec-morphological-diversity— from layer 1-targeting Martinotti cells to locally arborizing non-Martinotti types — implies corresponding diversity in intrinsic electrical properties. Dendritic geometry constrains passive integration, soma size influences input resistance, and axonal targeting determines the temporal precision required of spike gener...content/05_intrinsic_electrophysiology.md:line 3Open reference4 1CitationThe morphological diversity of SST interneurons described in {ref}sec-morphological-diversity— from layer 1-targeting Martinotti cells to locally arborizing non-Martinotti types — implies corresponding diversity in intrinsic electrical properties. Dendritic geometry constrains passive integration, soma size influences input resistance, and axonal targeting determines the temporal precision required of spike gener...content/05_intrinsic_electrophysiology.md:line 3Open reference5 provided particularly informative data by comparing KCC2-expressing and KCC2-negative interneurons within the same preparation, finding that KCC2-expressing interneurons — which localize predominantly to layer 5 and express somatostatin — have lower input resistance, lower rheobases, smaller action potential half-widths, and much higher firing frequencies than their KCC2-negative counterparts [Szri... -
1CitationThe morphological diversity of SST interneurons described in {ref}
sec-morphological-diversity— from layer 1-targeting Martinotti cells to locally arborizing non-Martinotti types — implies corresponding diversity in intrinsic electrical properties. Dendritic geometry constrains passive integration, soma size influences input resistance, and axonal targeting determines the temporal precision required of spike gener...content/05_intrinsic_electrophysiology.md:line 3Open reference6 1CitationThe morphological diversity of SST interneurons described in {ref}sec-morphological-diversity— from layer 1-targeting Martinotti cells to locally arborizing non-Martinotti types — implies corresponding diversity in intrinsic electrical properties. Dendritic geometry constrains passive integration, soma size influences input resistance, and axonal targeting determines the temporal precision required of spike gener...content/05_intrinsic_electrophysiology.md:line 3Open reference7 provided particularly informative data by comparing KCC2-expressing and KCC2-negative interneurons within the same preparation, finding that KCC2-expressing interneurons — which localize predominantly to layer 5 and express somatostatin — have lower input resistance, lower rheobases, smaller action potential half-widths, and much higher firing frequencies than their KCC2-negative counterparts [Szri... -
1CitationThe morphological diversity of SST interneurons described in {ref}
sec-morphological-diversity— from layer 1-targeting Martinotti cells to locally arborizing non-Martinotti types — implies corresponding diversity in intrinsic electrical properties. Dendritic geometry constrains passive integration, soma size influences input resistance, and axonal targeting determines the temporal precision required of spike gener...content/05_intrinsic_electrophysiology.md:line 3Open reference8 1CitationThe morphological diversity of SST interneurons described in {ref}sec-morphological-diversity— from layer 1-targeting Martinotti cells to locally arborizing non-Martinotti types — implies corresponding diversity in intrinsic electrical properties. Dendritic geometry constrains passive integration, soma size influences input resistance, and axonal targeting determines the temporal precision required of spike gener...content/05_intrinsic_electrophysiology.md:line 3Open reference9 provided particularly informative data by comparing KCC2-expressing and KCC2-negative interneurons within the same preparation, finding that KCC2-expressing interneurons — which localize predominantly to layer 5 and express somatostatin — have lower input resistance, lower rheobases, smaller action potential half-widths, and much higher firing frequencies than their KCC2-negative counterparts [Szri... -
1CitationThe morphological diversity of SST interneurons described in {ref}
sec-morphological-diversity— from layer 1-targeting Martinotti cells to locally arborizing non-Martinotti types — implies corresponding diversity in intrinsic electrical properties. Dendritic geometry constrains passive integration, soma size influences input resistance, and axonal targeting determines the temporal precision required of spike gener...content/05_intrinsic_electrophysiology.md:line 3Open reference0 1CitationThe morphological diversity of SST interneurons described in {ref}sec-morphological-diversity— from layer 1-targeting Martinotti cells to locally arborizing non-Martinotti types — implies corresponding diversity in intrinsic electrical properties. Dendritic geometry constrains passive integration, soma size influences input resistance, and axonal targeting determines the temporal precision required of spike gener...content/05_intrinsic_electrophysiology.md:line 3Open reference1 provided particularly informative data by comparing KCC2-expressing and KCC2-negative interneurons within the same preparation, finding that KCC2-expressing interneurons — which localize predominantly to layer 5 and express somatostatin — have lower input resistance, lower rheobases, smaller action potential half-widths, and much higher firing frequencies than their KCC2-negative counterparts [Szri... -
1CitationThe morphological diversity of SST interneurons described in {ref}
sec-morphological-diversity— from layer 1-targeting Martinotti cells to locally arborizing non-Martinotti types — implies corresponding diversity in intrinsic electrical properties. Dendritic geometry constrains passive integration, soma size influences input resistance, and axonal targeting determines the temporal precision required of spike gener...content/05_intrinsic_electrophysiology.md:line 3Open reference2 1CitationThe morphological diversity of SST interneurons described in {ref}sec-morphological-diversity— from layer 1-targeting Martinotti cells to locally arborizing non-Martinotti types — implies corresponding diversity in intrinsic electrical properties. Dendritic geometry constrains passive integration, soma size influences input resistance, and axonal targeting determines the temporal precision required of spike gener...content/05_intrinsic_electrophysiology.md:line 3Open reference3 offered a functional interpretation for the electrophysiological differences between interneuron classes, proposing that soma-targeting PV interneurons associate with gamma oscillations while dendrite-targeting SST interneurons associate with lower-frequency rhythms 1CitationThe morphological diversity of SST interneurons described in {ref}sec-morphological-diversity— from layer 1-targeting Martinotti cells to locally arborizing non-Martinotti types — implies corresponding diversity in intrinsic electrical properties. Dendritic geometry constrains passive integration, soma size influences input resistance, and axonal targeting determines the temporal precision required of spike gener...content/05_intrinsic_electrophysiology.md:line 3Open reference4 — a dichotomy that maps onto the distinct membrane time constants of these populations (see{ref}sec-oscillatory-dynamics)... -
1CitationThe morphological diversity of SST interneurons described in {ref}
sec-morphological-diversity— from layer 1-targeting Martinotti cells to locally arborizing non-Martinotti types — implies corresponding diversity in intrinsic electrical properties. Dendritic geometry constrains passive integration, soma size influences input resistance, and axonal targeting determines the temporal precision required of spike gener...content/05_intrinsic_electrophysiology.md:line 3Open reference5 1CitationThe morphological diversity of SST interneurons described in {ref}sec-morphological-diversity— from layer 1-targeting Martinotti cells to locally arborizing non-Martinotti types — implies corresponding diversity in intrinsic electrical properties. Dendritic geometry constrains passive integration, soma size influences input resistance, and axonal targeting determines the temporal precision required of spike gener...content/05_intrinsic_electrophysiology.md:line 3Open reference6 offered a functional interpretation for the electrophysiological differences between interneuron classes, proposing that soma-targeting PV interneurons associate with gamma oscillations while dendrite-targeting SST interneurons associate with lower-frequency rhythms 1CitationThe morphological diversity of SST interneurons described in {ref}sec-morphological-diversity— from layer 1-targeting Martinotti cells to locally arborizing non-Martinotti types — implies corresponding diversity in intrinsic electrical properties. Dendritic geometry constrains passive integration, soma size influences input resistance, and axonal targeting determines the temporal precision required of spike gener...content/05_intrinsic_electrophysiology.md:line 3Open reference7 — a dichotomy that maps onto the distinct membrane time constants of these populations (see{ref}sec-oscillatory-dynamics)... -
1CitationThe morphological diversity of SST interneurons described in {ref}
sec-morphological-diversity— from layer 1-targeting Martinotti cells to locally arborizing non-Martinotti types — implies corresponding diversity in intrinsic electrical properties. Dendritic geometry constrains passive integration, soma size influences input resistance, and axonal targeting determines the temporal precision required of spike gener...content/05_intrinsic_electrophysiology.md:line 3Open reference8 1CitationThe morphological diversity of SST interneurons described in {ref}sec-morphological-diversity— from layer 1-targeting Martinotti cells to locally arborizing non-Martinotti types — implies corresponding diversity in intrinsic electrical properties. Dendritic geometry constrains passive integration, soma size influences input resistance, and axonal targeting determines the temporal precision required of spike gener...content/05_intrinsic_electrophysiology.md:line 3Open reference9 offered a functional interpretation for the electrophysiological differences between interneuron classes, proposing that soma-targeting PV interneurons associate with gamma oscillations while dendrite-targeting SST interneurons associate with lower-frequency rhythms 1CitationThe morphological diversity of SST interneurons described in {ref}sec-morphological-diversity— from layer 1-targeting Martinotti cells to locally arborizing non-Martinotti types — implies corresponding diversity in intrinsic electrical properties. Dendritic geometry constrains passive integration, soma size influences input resistance, and axonal targeting determines the temporal precision required of spike gener...content/05_intrinsic_electrophysiology.md:line 3Open reference0 — a dichotomy that maps onto the distinct membrane time constants of these populations (see{ref}sec-oscillatory-dynamics)... -
1CitationThe morphological diversity of SST interneurons described in {ref}
sec-morphological-diversity— from layer 1-targeting Martinotti cells to locally arborizing non-Martinotti types — implies corresponding diversity in intrinsic electrical properties. Dendritic geometry constrains passive integration, soma size influences input resistance, and axonal targeting determines the temporal precision required of spike gener...content/05_intrinsic_electrophysiology.md:line 3Open reference1 1CitationThe morphological diversity of SST interneurons described in {ref}sec-morphological-diversity— from layer 1-targeting Martinotti cells to locally arborizing non-Martinotti types — implies corresponding diversity in intrinsic electrical properties. Dendritic geometry constrains passive integration, soma size influences input resistance, and axonal targeting determines the temporal precision required of spike gener...content/05_intrinsic_electrophysiology.md:line 3Open reference2 offered a functional interpretation for the electrophysiological differences between interneuron classes, proposing that soma-targeting PV interneurons associate with gamma oscillations while dendrite-targeting SST interneurons associate with lower-frequency rhythms 1CitationThe morphological diversity of SST interneurons described in {ref}sec-morphological-diversity— from layer 1-targeting Martinotti cells to locally arborizing non-Martinotti types — implies corresponding diversity in intrinsic electrical properties. Dendritic geometry constrains passive integration, soma size influences input resistance, and axonal targeting determines the temporal precision required of spike gener...content/05_intrinsic_electrophysiology.md:line 3Open reference3 — a dichotomy that maps onto the distinct membrane time constants of these populations (see{ref}sec-oscillatory-dynamics)... -
1CitationThe morphological diversity of SST interneurons described in {ref}
sec-morphological-diversity— from layer 1-targeting Martinotti cells to locally arborizing non-Martinotti types — implies corresponding diversity in intrinsic electrical properties. Dendritic geometry constrains passive integration, soma size influences input resistance, and axonal targeting determines the temporal precision required of spike gener...content/05_intrinsic_electrophysiology.md:line 3Open reference4 Regional variation adds another dimension. 1CitationThe morphological diversity of SST interneurons described in {ref}sec-morphological-diversity— from layer 1-targeting Martinotti cells to locally arborizing non-Martinotti types — implies corresponding diversity in intrinsic electrical properties. Dendritic geometry constrains passive integration, soma size influences input resistance, and axonal targeting determines the temporal precision required of spike gener...content/05_intrinsic_electrophysiology.md:line 3Open reference5 demonstrated through cluster analysis based on axonal projection patterns that layer 6 interneurons in rat medial prefrontal cortex include multiple clusters with Martinotti-like projections, each presumably with distinct passive property profiles 1CitationThe morphological diversity of SST interneurons described in {ref}sec-morphological-diversity— from layer 1-targeting Martinotti cells to locally arborizing non-Martinotti types — implies corresponding diversity in intrinsic electrical properties. Dendritic geometry constrains passive integration, soma size influences input resistance, and axonal targeting determines the temporal precision required of spike gener...content/05_intrinsic_electrophysiology.md:line 3Open reference6. 1CitationThe morphological diversity of SST interneurons described in {ref}sec-morphological-diversity— from layer 1-targeting Martinotti cells to locally arborizing non-Martinotti types — implies corresponding diversity in intrinsic electrical properties. Dendritic geometry constrains passive integration, soma size influences input resistance, and axonal targeting determines the temporal precision required of spike gener...content/05_intrinsic_electrophysiology.md:line 3Open reference7 concluded that despite established layer- and area-dependent differences, there exists a set of... -
1CitationThe morphological diversity of SST interneurons described in {ref}
sec-morphological-diversity— from layer 1-targeting Martinotti cells to locally arborizing non-Martinotti types — implies corresponding diversity in intrinsic electrical properties. Dendritic geometry constrains passive integration, soma size influences input resistance, and axonal targeting determines the temporal precision required of spike gener...content/05_intrinsic_electrophysiology.md:line 3Open reference8 Regional variation adds another dimension. 1CitationThe morphological diversity of SST interneurons described in {ref}sec-morphological-diversity— from layer 1-targeting Martinotti cells to locally arborizing non-Martinotti types — implies corresponding diversity in intrinsic electrical properties. Dendritic geometry constrains passive integration, soma size influences input resistance, and axonal targeting determines the temporal precision required of spike gener...content/05_intrinsic_electrophysiology.md:line 3Open reference9 demonstrated through cluster analysis based on axonal projection patterns that layer 6 interneurons in rat medial prefrontal cortex include multiple clusters with Martinotti-like projections, each presumably with distinct passive property profiles 1CitationThe morphological diversity of SST interneurons described in {ref}sec-morphological-diversity— from layer 1-targeting Martinotti cells to locally arborizing non-Martinotti types — implies corresponding diversity in intrinsic electrical properties. Dendritic geometry constrains passive integration, soma size influences input resistance, and axonal targeting determines the temporal precision required of spike gener...content/05_intrinsic_electrophysiology.md:line 3Open reference0. 1CitationThe morphological diversity of SST interneurons described in {ref}sec-morphological-diversity— from layer 1-targeting Martinotti cells to locally arborizing non-Martinotti types — implies corresponding diversity in intrinsic electrical properties. Dendritic geometry constrains passive integration, soma size influences input resistance, and axonal targeting determines the temporal precision required of spike gener...content/05_intrinsic_electrophysiology.md:line 3Open reference1 concluded that despite established layer- and area-dependent differences, there exists a set of... -
1CitationThe morphological diversity of SST interneurons described in {ref}
sec-morphological-diversity— from layer 1-targeting Martinotti cells to locally arborizing non-Martinotti types — implies corresponding diversity in intrinsic electrical properties. Dendritic geometry constrains passive integration, soma size influences input resistance, and axonal targeting determines the temporal precision required of spike gener...content/05_intrinsic_electrophysiology.md:line 3Open reference2 Regional variation adds another dimension. 1CitationThe morphological diversity of SST interneurons described in {ref}sec-morphological-diversity— from layer 1-targeting Martinotti cells to locally arborizing non-Martinotti types — implies corresponding diversity in intrinsic electrical properties. Dendritic geometry constrains passive integration, soma size influences input resistance, and axonal targeting determines the temporal precision required of spike gener...content/05_intrinsic_electrophysiology.md:line 3Open reference3 demonstrated through cluster analysis based on axonal projection patterns that layer 6 interneurons in rat medial prefrontal cortex include multiple clusters with Martinotti-like projections, each presumably with distinct passive property profiles 1CitationThe morphological diversity of SST interneurons described in {ref}sec-morphological-diversity— from layer 1-targeting Martinotti cells to locally arborizing non-Martinotti types — implies corresponding diversity in intrinsic electrical properties. Dendritic geometry constrains passive integration, soma size influences input resistance, and axonal targeting determines the temporal precision required of spike gener...content/05_intrinsic_electrophysiology.md:line 3Open reference4. 1CitationThe morphological diversity of SST interneurons described in {ref}sec-morphological-diversity— from layer 1-targeting Martinotti cells to locally arborizing non-Martinotti types — implies corresponding diversity in intrinsic electrical properties. Dendritic geometry constrains passive integration, soma size influences input resistance, and axonal targeting determines the temporal precision required of spike gener...content/05_intrinsic_electrophysiology.md:line 3Open reference5 concluded that despite established layer- and area-dependent differences, there exists a set of... -
1CitationThe morphological diversity of SST interneurons described in {ref}
sec-morphological-diversity— from layer 1-targeting Martinotti cells to locally arborizing non-Martinotti types — implies corresponding diversity in intrinsic electrical properties. Dendritic geometry constrains passive integration, soma size influences input resistance, and axonal targeting determines the temporal precision required of spike gener...content/05_intrinsic_electrophysiology.md:line 3Open reference6 Regional variation adds another dimension. 1CitationThe morphological diversity of SST interneurons described in {ref}sec-morphological-diversity— from layer 1-targeting Martinotti cells to locally arborizing non-Martinotti types — implies corresponding diversity in intrinsic electrical properties. Dendritic geometry constrains passive integration, soma size influences input resistance, and axonal targeting determines the temporal precision required of spike gener...content/05_intrinsic_electrophysiology.md:line 3Open reference7 demonstrated through cluster analysis based on axonal projection patterns that layer 6 interneurons in rat medial prefrontal cortex include multiple clusters with Martinotti-like projections, each presumably with distinct passive property profiles 1CitationThe morphological diversity of SST interneurons described in {ref}sec-morphological-diversity— from layer 1-targeting Martinotti cells to locally arborizing non-Martinotti types — implies corresponding diversity in intrinsic electrical properties. Dendritic geometry constrains passive integration, soma size influences input resistance, and axonal targeting determines the temporal precision required of spike gener...content/05_intrinsic_electrophysiology.md:line 3Open reference8. 1CitationThe morphological diversity of SST interneurons described in {ref}sec-morphological-diversity— from layer 1-targeting Martinotti cells to locally arborizing non-Martinotti types — implies corresponding diversity in intrinsic electrical properties. Dendritic geometry constrains passive integration, soma size influences input resistance, and axonal targeting determines the temporal precision required of spike gener...content/05_intrinsic_electrophysiology.md:line 3Open reference9 concluded that despite established layer- and area-dependent differences, there exists a set of... -
2CitationThe morphological diversity of SST interneurons described in {ref}
sec-morphological-diversity— from layer 1-targeting Martinotti cells to locally arborizing non-Martinotti types — implies corresponding diversity in intrinsic electrical properties. Dendritic geometry constrains passive integration, soma size influences input resistance, and axonal targeting determines the temporal precision required of spike gener...content/05_intrinsic_electrophysiology.md:line 3Open reference00 2CitationThe morphological diversity of SST interneurons described in {ref}sec-morphological-diversity— from layer 1-targeting Martinotti cells to locally arborizing non-Martinotti types — implies corresponding diversity in intrinsic electrical properties. Dendritic geometry constrains passive integration, soma size influences input resistance, and axonal targeting determines the temporal precision required of spike gener...content/05_intrinsic_electrophysiology.md:line 3Open reference01 reported a surprising finding: Hcn1, which encodes the H-current, is highly expressed in PV cells, contradicting prior findings that sag currents — primarily mediated by H-currents — are smaller in PV than SST interneurons 2CitationThe morphological diversity of SST interneurons described in {ref}sec-morphological-diversity— from layer 1-targeting Martinotti cells to locally arborizing non-Martinotti types — implies corresponding diversity in intrinsic electrical properties. Dendritic geometry constrains passive integration, soma size influences input resistance, and axonal targeting determines the temporal precision required of spike gener...content/05_intrinsic_electrophysiology.md:line 3Open reference02. This observation complicates the simple narrative that Ih is an SST-specific marker and suggests that transcript-level analyses may not always predict functional current den... -
2CitationThe morphological diversity of SST interneurons described in {ref}
sec-morphological-diversity— from layer 1-targeting Martinotti cells to locally arborizing non-Martinotti types — implies corresponding diversity in intrinsic electrical properties. Dendritic geometry constrains passive integration, soma size influences input resistance, and axonal targeting determines the temporal precision required of spike gener...content/05_intrinsic_electrophysiology.md:line 3Open reference03 2CitationThe morphological diversity of SST interneurons described in {ref}sec-morphological-diversity— from layer 1-targeting Martinotti cells to locally arborizing non-Martinotti types — implies corresponding diversity in intrinsic electrical properties. Dendritic geometry constrains passive integration, soma size influences input resistance, and axonal targeting determines the temporal precision required of spike gener...content/05_intrinsic_electrophysiology.md:line 3Open reference04 reported a surprising finding: Hcn1, which encodes the H-current, is highly expressed in PV cells, contradicting prior findings that sag currents — primarily mediated by H-currents — are smaller in PV than SST interneurons 2CitationThe morphological diversity of SST interneurons described in {ref}sec-morphological-diversity— from layer 1-targeting Martinotti cells to locally arborizing non-Martinotti types — implies corresponding diversity in intrinsic electrical properties. Dendritic geometry constrains passive integration, soma size influences input resistance, and axonal targeting determines the temporal precision required of spike gener...content/05_intrinsic_electrophysiology.md:line 3Open reference05. This observation complicates the simple narrative that Ih is an SST-specific marker and suggests that transcript-level analyses may not always predict functional current den... -
2CitationThe morphological diversity of SST interneurons described in {ref}
sec-morphological-diversity— from layer 1-targeting Martinotti cells to locally arborizing non-Martinotti types — implies corresponding diversity in intrinsic electrical properties. Dendritic geometry constrains passive integration, soma size influences input resistance, and axonal targeting determines the temporal precision required of spike gener...content/05_intrinsic_electrophysiology.md:line 3Open reference06 2CitationThe morphological diversity of SST interneurons described in {ref}sec-morphological-diversity— from layer 1-targeting Martinotti cells to locally arborizing non-Martinotti types — implies corresponding diversity in intrinsic electrical properties. Dendritic geometry constrains passive integration, soma size influences input resistance, and axonal targeting determines the temporal precision required of spike gener...content/05_intrinsic_electrophysiology.md:line 3Open reference07 reported a surprising finding: Hcn1, which encodes the H-current, is highly expressed in PV cells, contradicting prior findings that sag currents — primarily mediated by H-currents — are smaller in PV than SST interneurons 2CitationThe morphological diversity of SST interneurons described in {ref}sec-morphological-diversity— from layer 1-targeting Martinotti cells to locally arborizing non-Martinotti types — implies corresponding diversity in intrinsic electrical properties. Dendritic geometry constrains passive integration, soma size influences input resistance, and axonal targeting determines the temporal precision required of spike gener...content/05_intrinsic_electrophysiology.md:line 3Open reference08. This observation complicates the simple narrative that Ih is an SST-specific marker and suggests that transcript-level analyses may not always predict functional current den... -
2CitationThe morphological diversity of SST interneurons described in {ref}
sec-morphological-diversity— from layer 1-targeting Martinotti cells to locally arborizing non-Martinotti types — implies corresponding diversity in intrinsic electrical properties. Dendritic geometry constrains passive integration, soma size influences input resistance, and axonal targeting determines the temporal precision required of spike gener...content/05_intrinsic_electrophysiology.md:line 3Open reference09 2CitationThe morphological diversity of SST interneurons described in {ref}sec-morphological-diversity— from layer 1-targeting Martinotti cells to locally arborizing non-Martinotti types — implies corresponding diversity in intrinsic electrical properties. Dendritic geometry constrains passive integration, soma size influences input resistance, and axonal targeting determines the temporal precision required of spike gener...content/05_intrinsic_electrophysiology.md:line 3Open reference10 reported a surprising finding: Hcn1, which encodes the H-current, is highly expressed in PV cells, contradicting prior findings that sag currents — primarily mediated by H-currents — are smaller in PV than SST interneurons 2CitationThe morphological diversity of SST interneurons described in {ref}sec-morphological-diversity— from layer 1-targeting Martinotti cells to locally arborizing non-Martinotti types — implies corresponding diversity in intrinsic electrical properties. Dendritic geometry constrains passive integration, soma size influences input resistance, and axonal targeting determines the temporal precision required of spike gener...content/05_intrinsic_electrophysiology.md:line 3Open reference11. This observation complicates the simple narrative that Ih is an SST-specific marker and suggests that transcript-level analyses may not always predict functional current den... -
2CitationThe morphological diversity of SST interneurons described in {ref}
sec-morphological-diversity— from layer 1-targeting Martinotti cells to locally arborizing non-Martinotti types — implies corresponding diversity in intrinsic electrical properties. Dendritic geometry constrains passive integration, soma size influences input resistance, and axonal targeting determines the temporal precision required of spike gener...content/05_intrinsic_electrophysiology.md:line 3Open reference12 The functional consequences of Ih heterogeneity within the SST population are substantial. Layer 5 T-shaped Martinotti cells, which target layer 1, display prominent Ih-mediated voltage sag and robust rebound bursting 2CitationThe morphological diversity of SST interneurons described in {ref}sec-morphological-diversity— from layer 1-targeting Martinotti cells to locally arborizing non-Martinotti types — implies corresponding diversity in intrinsic electrical properties. Dendritic geometry constrains passive integration, soma size influences input resistance, and axonal targeting determines the temporal precision required of spike gener...content/05_intrinsic_electrophysiology.md:line 3Open reference13. In contrast, the non-Martinotti quasi-fast-spiking cells described by 2CitationThe morphological diversity of SST interneurons described in {ref}sec-morphological-diversity— from layer 1-targeting Martinotti cells to locally arborizing non-Martinotti types — implies corresponding diversity in intrinsic electrical properties. Dendritic geometry constrains passive integration, soma size influences input resistance, and axonal targeting determines the temporal precision required of spike gener...content/05_intrinsic_electrophysiology.md:line 3Open reference14 show minimal sag, consistent with low HCN channel expression 2CitationThe morphological diversity of SST interneurons described in {ref}sec-morphological-diversity— from layer 1-targeting Martinotti cells to locally arborizing non-Martinotti types — implies corresponding diversity in intrinsic electrical properties. Dendritic geometry constrains passive integration, soma size influences input resistance, and axonal targeting determines the temporal precision required of spike gener...content/05_intrinsic_electrophysiology.md:line 3Open reference15. 2CitationThe morphological diversity of SST interneurons described in {ref}sec-morphological-diversity— from layer 1-targeting Martinotti cells to locally arborizing non-Martinotti types — implies corresponding diversity in intrinsic electrical properties. Dendritic geometry constrains passive integration, soma size influences input resistance, and axonal targeting determines the temporal precision required of spike gener...content/05_intrinsic_electrophysiology.md:line 3Open reference16 added a fu... -
2CitationThe morphological diversity of SST interneurons described in {ref}
sec-morphological-diversity— from layer 1-targeting Martinotti cells to locally arborizing non-Martinotti types — implies corresponding diversity in intrinsic electrical properties. Dendritic geometry constrains passive integration, soma size influences input resistance, and axonal targeting determines the temporal precision required of spike gener...content/05_intrinsic_electrophysiology.md:line 3Open reference17 The functional consequences of Ih heterogeneity within the SST population are substantial. Layer 5 T-shaped Martinotti cells, which target layer 1, display prominent Ih-mediated voltage sag and robust rebound bursting 2CitationThe morphological diversity of SST interneurons described in {ref}sec-morphological-diversity— from layer 1-targeting Martinotti cells to locally arborizing non-Martinotti types — implies corresponding diversity in intrinsic electrical properties. Dendritic geometry constrains passive integration, soma size influences input resistance, and axonal targeting determines the temporal precision required of spike gener...content/05_intrinsic_electrophysiology.md:line 3Open reference18. In contrast, the non-Martinotti quasi-fast-spiking cells described by 2CitationThe morphological diversity of SST interneurons described in {ref}sec-morphological-diversity— from layer 1-targeting Martinotti cells to locally arborizing non-Martinotti types — implies corresponding diversity in intrinsic electrical properties. Dendritic geometry constrains passive integration, soma size influences input resistance, and axonal targeting determines the temporal precision required of spike gener...content/05_intrinsic_electrophysiology.md:line 3Open reference19 show minimal sag, consistent with low HCN channel expression 2CitationThe morphological diversity of SST interneurons described in {ref}sec-morphological-diversity— from layer 1-targeting Martinotti cells to locally arborizing non-Martinotti types — implies corresponding diversity in intrinsic electrical properties. Dendritic geometry constrains passive integration, soma size influences input resistance, and axonal targeting determines the temporal precision required of spike gener...content/05_intrinsic_electrophysiology.md:line 3Open reference20. 2CitationThe morphological diversity of SST interneurons described in {ref}sec-morphological-diversity— from layer 1-targeting Martinotti cells to locally arborizing non-Martinotti types — implies corresponding diversity in intrinsic electrical properties. Dendritic geometry constrains passive integration, soma size influences input resistance, and axonal targeting determines the temporal precision required of spike gener...content/05_intrinsic_electrophysiology.md:line 3Open reference21 added a fu... -
2CitationThe morphological diversity of SST interneurons described in {ref}
sec-morphological-diversity— from layer 1-targeting Martinotti cells to locally arborizing non-Martinotti types — implies corresponding diversity in intrinsic electrical properties. Dendritic geometry constrains passive integration, soma size influences input resistance, and axonal targeting determines the temporal precision required of spike gener...content/05_intrinsic_electrophysiology.md:line 3Open reference22 The functional consequences of Ih heterogeneity within the SST population are substantial. Layer 5 T-shaped Martinotti cells, which target layer 1, display prominent Ih-mediated voltage sag and robust rebound bursting 2CitationThe morphological diversity of SST interneurons described in {ref}sec-morphological-diversity— from layer 1-targeting Martinotti cells to locally arborizing non-Martinotti types — implies corresponding diversity in intrinsic electrical properties. Dendritic geometry constrains passive integration, soma size influences input resistance, and axonal targeting determines the temporal precision required of spike gener...content/05_intrinsic_electrophysiology.md:line 3Open reference23. In contrast, the non-Martinotti quasi-fast-spiking cells described by 2CitationThe morphological diversity of SST interneurons described in {ref}sec-morphological-diversity— from layer 1-targeting Martinotti cells to locally arborizing non-Martinotti types — implies corresponding diversity in intrinsic electrical properties. Dendritic geometry constrains passive integration, soma size influences input resistance, and axonal targeting determines the temporal precision required of spike gener...content/05_intrinsic_electrophysiology.md:line 3Open reference24 show minimal sag, consistent with low HCN channel expression 2CitationThe morphological diversity of SST interneurons described in {ref}sec-morphological-diversity— from layer 1-targeting Martinotti cells to locally arborizing non-Martinotti types — implies corresponding diversity in intrinsic electrical properties. Dendritic geometry constrains passive integration, soma size influences input resistance, and axonal targeting determines the temporal precision required of spike gener...content/05_intrinsic_electrophysiology.md:line 3Open reference25. 2CitationThe morphological diversity of SST interneurons described in {ref}sec-morphological-diversity— from layer 1-targeting Martinotti cells to locally arborizing non-Martinotti types — implies corresponding diversity in intrinsic electrical properties. Dendritic geometry constrains passive integration, soma size influences input resistance, and axonal targeting determines the temporal precision required of spike gener...content/05_intrinsic_electrophysiology.md:line 3Open reference26 added a fu... -
2CitationThe morphological diversity of SST interneurons described in {ref}
sec-morphological-diversity— from layer 1-targeting Martinotti cells to locally arborizing non-Martinotti types — implies corresponding diversity in intrinsic electrical properties. Dendritic geometry constrains passive integration, soma size influences input resistance, and axonal targeting determines the temporal precision required of spike gener...content/05_intrinsic_electrophysiology.md:line 3Open reference27 The functional consequences of Ih heterogeneity within the SST population are substantial. Layer 5 T-shaped Martinotti cells, which target layer 1, display prominent Ih-mediated voltage sag and robust rebound bursting 2CitationThe morphological diversity of SST interneurons described in {ref}sec-morphological-diversity— from layer 1-targeting Martinotti cells to locally arborizing non-Martinotti types — implies corresponding diversity in intrinsic electrical properties. Dendritic geometry constrains passive integration, soma size influences input resistance, and axonal targeting determines the temporal precision required of spike gener...content/05_intrinsic_electrophysiology.md:line 3Open reference28. In contrast, the non-Martinotti quasi-fast-spiking cells described by 2CitationThe morphological diversity of SST interneurons described in {ref}sec-morphological-diversity— from layer 1-targeting Martinotti cells to locally arborizing non-Martinotti types — implies corresponding diversity in intrinsic electrical properties. Dendritic geometry constrains passive integration, soma size influences input resistance, and axonal targeting determines the temporal precision required of spike gener...content/05_intrinsic_electrophysiology.md:line 3Open reference29 show minimal sag, consistent with low HCN channel expression 2CitationThe morphological diversity of SST interneurons described in {ref}sec-morphological-diversity— from layer 1-targeting Martinotti cells to locally arborizing non-Martinotti types — implies corresponding diversity in intrinsic electrical properties. Dendritic geometry constrains passive integration, soma size influences input resistance, and axonal targeting determines the temporal precision required of spike gener...content/05_intrinsic_electrophysiology.md:line 3Open reference30. 2CitationThe morphological diversity of SST interneurons described in {ref}sec-morphological-diversity— from layer 1-targeting Martinotti cells to locally arborizing non-Martinotti types — implies corresponding diversity in intrinsic electrical properties. Dendritic geometry constrains passive integration, soma size influences input resistance, and axonal targeting determines the temporal precision required of spike gener...content/05_intrinsic_electrophysiology.md:line 3Open reference31 added a fu... -
2CitationThe morphological diversity of SST interneurons described in {ref}
sec-morphological-diversity— from layer 1-targeting Martinotti cells to locally arborizing non-Martinotti types — implies corresponding diversity in intrinsic electrical properties. Dendritic geometry constrains passive integration, soma size influences input resistance, and axonal targeting determines the temporal precision required of spike gener...content/05_intrinsic_electrophysiology.md:line 3Open reference32 The functional consequences of Ih heterogeneity within the SST population are substantial. Layer 5 T-shaped Martinotti cells, which target layer 1, display prominent Ih-mediated voltage sag and robust rebound bursting 2CitationThe morphological diversity of SST interneurons described in {ref}sec-morphological-diversity— from layer 1-targeting Martinotti cells to locally arborizing non-Martinotti types — implies corresponding diversity in intrinsic electrical properties. Dendritic geometry constrains passive integration, soma size influences input resistance, and axonal targeting determines the temporal precision required of spike gener...content/05_intrinsic_electrophysiology.md:line 3Open reference33. In contrast, the non-Martinotti quasi-fast-spiking cells described by 2CitationThe morphological diversity of SST interneurons described in {ref}sec-morphological-diversity— from layer 1-targeting Martinotti cells to locally arborizing non-Martinotti types — implies corresponding diversity in intrinsic electrical properties. Dendritic geometry constrains passive integration, soma size influences input resistance, and axonal targeting determines the temporal precision required of spike gener...content/05_intrinsic_electrophysiology.md:line 3Open reference34 show minimal sag, consistent with low HCN channel expression 2CitationThe morphological diversity of SST interneurons described in {ref}sec-morphological-diversity— from layer 1-targeting Martinotti cells to locally arborizing non-Martinotti types — implies corresponding diversity in intrinsic electrical properties. Dendritic geometry constrains passive integration, soma size influences input resistance, and axonal targeting determines the temporal precision required of spike gener...content/05_intrinsic_electrophysiology.md:line 3Open reference35. 2CitationThe morphological diversity of SST interneurons described in {ref}sec-morphological-diversity— from layer 1-targeting Martinotti cells to locally arborizing non-Martinotti types — implies corresponding diversity in intrinsic electrical properties. Dendritic geometry constrains passive integration, soma size influences input resistance, and axonal targeting determines the temporal precision required of spike gener...content/05_intrinsic_electrophysiology.md:line 3Open reference36 added a fu... -
2CitationThe morphological diversity of SST interneurons described in {ref}
sec-morphological-diversity— from layer 1-targeting Martinotti cells to locally arborizing non-Martinotti types — implies corresponding diversity in intrinsic electrical properties. Dendritic geometry constrains passive integration, soma size influences input resistance, and axonal targeting determines the temporal precision required of spike gener...content/05_intrinsic_electrophysiology.md:line 3Open reference37 The functional consequences of Ih heterogeneity within the SST population are substantial. Layer 5 T-shaped Martinotti cells, which target layer 1, display prominent Ih-mediated voltage sag and robust rebound bursting 2CitationThe morphological diversity of SST interneurons described in {ref}sec-morphological-diversity— from layer 1-targeting Martinotti cells to locally arborizing non-Martinotti types — implies corresponding diversity in intrinsic electrical properties. Dendritic geometry constrains passive integration, soma size influences input resistance, and axonal targeting determines the temporal precision required of spike gener...content/05_intrinsic_electrophysiology.md:line 3Open reference38. In contrast, the non-Martinotti quasi-fast-spiking cells described by 2CitationThe morphological diversity of SST interneurons described in {ref}sec-morphological-diversity— from layer 1-targeting Martinotti cells to locally arborizing non-Martinotti types — implies corresponding diversity in intrinsic electrical properties. Dendritic geometry constrains passive integration, soma size influences input resistance, and axonal targeting determines the temporal precision required of spike gener...content/05_intrinsic_electrophysiology.md:line 3Open reference39 show minimal sag, consistent with low HCN channel expression 2CitationThe morphological diversity of SST interneurons described in {ref}sec-morphological-diversity— from layer 1-targeting Martinotti cells to locally arborizing non-Martinotti types — implies corresponding diversity in intrinsic electrical properties. Dendritic geometry constrains passive integration, soma size influences input resistance, and axonal targeting determines the temporal precision required of spike gener...content/05_intrinsic_electrophysiology.md:line 3Open reference40. 2CitationThe morphological diversity of SST interneurons described in {ref}sec-morphological-diversity— from layer 1-targeting Martinotti cells to locally arborizing non-Martinotti types — implies corresponding diversity in intrinsic electrical properties. Dendritic geometry constrains passive integration, soma size influences input resistance, and axonal targeting determines the temporal precision required of spike gener...content/05_intrinsic_electrophysiology.md:line 3Open reference41 added a fu... -
2CitationThe morphological diversity of SST interneurons described in {ref}
sec-morphological-diversity— from layer 1-targeting Martinotti cells to locally arborizing non-Martinotti types — implies corresponding diversity in intrinsic electrical properties. Dendritic geometry constrains passive integration, soma size influences input resistance, and axonal targeting determines the temporal precision required of spike gener...content/05_intrinsic_electrophysiology.md:line 3Open reference42 The functional consequences of Ih heterogeneity within the SST population are substantial. Layer 5 T-shaped Martinotti cells, which target layer 1, display prominent Ih-mediated voltage sag and robust rebound bursting 2CitationThe morphological diversity of SST interneurons described in {ref}sec-morphological-diversity— from layer 1-targeting Martinotti cells to locally arborizing non-Martinotti types — implies corresponding diversity in intrinsic electrical properties. Dendritic geometry constrains passive integration, soma size influences input resistance, and axonal targeting determines the temporal precision required of spike gener...content/05_intrinsic_electrophysiology.md:line 3Open reference43. In contrast, the non-Martinotti quasi-fast-spiking cells described by 2CitationThe morphological diversity of SST interneurons described in {ref}sec-morphological-diversity— from layer 1-targeting Martinotti cells to locally arborizing non-Martinotti types — implies corresponding diversity in intrinsic electrical properties. Dendritic geometry constrains passive integration, soma size influences input resistance, and axonal targeting determines the temporal precision required of spike gener...content/05_intrinsic_electrophysiology.md:line 3Open reference44 show minimal sag, consistent with low HCN channel expression 2CitationThe morphological diversity of SST interneurons described in {ref}sec-morphological-diversity— from layer 1-targeting Martinotti cells to locally arborizing non-Martinotti types — implies corresponding diversity in intrinsic electrical properties. Dendritic geometry constrains passive integration, soma size influences input resistance, and axonal targeting determines the temporal precision required of spike gener...content/05_intrinsic_electrophysiology.md:line 3Open reference45. 2CitationThe morphological diversity of SST interneurons described in {ref}sec-morphological-diversity— from layer 1-targeting Martinotti cells to locally arborizing non-Martinotti types — implies corresponding diversity in intrinsic electrical properties. Dendritic geometry constrains passive integration, soma size influences input resistance, and axonal targeting determines the temporal precision required of spike gener...content/05_intrinsic_electrophysiology.md:line 3Open reference46 added a fu... -
2CitationThe morphological diversity of SST interneurons described in {ref}
sec-morphological-diversity— from layer 1-targeting Martinotti cells to locally arborizing non-Martinotti types — implies corresponding diversity in intrinsic electrical properties. Dendritic geometry constrains passive integration, soma size influences input resistance, and axonal targeting determines the temporal precision required of spike gener...content/05_intrinsic_electrophysiology.md:line 3Open reference47 The distinction between slowly adapting Martinotti cells and quasi-fast-spiking non-Martinotti cells maps, in part, onto differential expression of voltage-gated potassium channels. 2CitationThe morphological diversity of SST interneurons described in {ref}sec-morphological-diversity— from layer 1-targeting Martinotti cells to locally arborizing non-Martinotti types — implies corresponding diversity in intrinsic electrical properties. Dendritic geometry constrains passive integration, soma size influences input resistance, and axonal targeting determines the temporal precision required of spike gener...content/05_intrinsic_electrophysiology.md:line 3Open reference48 reported that Gpr176 puncta count per cell was markedly higher in PV-positive neurons than SST-positive ones, and that Kv3 subfamily expression — critical for fast repolarization and high-frequency firing — differs substantial... -
2CitationThe morphological diversity of SST interneurons described in {ref}
sec-morphological-diversity— from layer 1-targeting Martinotti cells to locally arborizing non-Martinotti types — implies corresponding diversity in intrinsic electrical properties. Dendritic geometry constrains passive integration, soma size influences input resistance, and axonal targeting determines the temporal precision required of spike gener...content/05_intrinsic_electrophysiology.md:line 3Open reference49 The distinction between slowly adapting Martinotti cells and quasi-fast-spiking non-Martinotti cells maps, in part, onto differential expression of voltage-gated potassium channels. 2CitationThe morphological diversity of SST interneurons described in {ref}sec-morphological-diversity— from layer 1-targeting Martinotti cells to locally arborizing non-Martinotti types — implies corresponding diversity in intrinsic electrical properties. Dendritic geometry constrains passive integration, soma size influences input resistance, and axonal targeting determines the temporal precision required of spike gener...content/05_intrinsic_electrophysiology.md:line 3Open reference50 reported that Gpr176 puncta count per cell was markedly higher in PV-positive neurons than SST-positive ones, and that Kv3 subfamily expression — critical for fast repolarization and high-frequency firing — differs substantial... -
2CitationThe morphological diversity of SST interneurons described in {ref}
sec-morphological-diversity— from layer 1-targeting Martinotti cells to locally arborizing non-Martinotti types — implies corresponding diversity in intrinsic electrical properties. Dendritic geometry constrains passive integration, soma size influences input resistance, and axonal targeting determines the temporal precision required of spike gener...content/05_intrinsic_electrophysiology.md:line 3Open reference51 The distinction between slowly adapting Martinotti cells and quasi-fast-spiking non-Martinotti cells maps, in part, onto differential expression of voltage-gated potassium channels. 2CitationThe morphological diversity of SST interneurons described in {ref}sec-morphological-diversity— from layer 1-targeting Martinotti cells to locally arborizing non-Martinotti types — implies corresponding diversity in intrinsic electrical properties. Dendritic geometry constrains passive integration, soma size influences input resistance, and axonal targeting determines the temporal precision required of spike gener...content/05_intrinsic_electrophysiology.md:line 3Open reference52 reported that Gpr176 puncta count per cell was markedly higher in PV-positive neurons than SST-positive ones, and that Kv3 subfamily expression — critical for fast repolarization and high-frequency firing — differs substantial... -
2CitationThe morphological diversity of SST interneurons described in {ref}
sec-morphological-diversity— from layer 1-targeting Martinotti cells to locally arborizing non-Martinotti types — implies corresponding diversity in intrinsic electrical properties. Dendritic geometry constrains passive integration, soma size influences input resistance, and axonal targeting determines the temporal precision required of spike gener...content/05_intrinsic_electrophysiology.md:line 3Open reference53 The distinction between slowly adapting Martinotti cells and quasi-fast-spiking non-Martinotti cells maps, in part, onto differential expression of voltage-gated potassium channels. 2CitationThe morphological diversity of SST interneurons described in {ref}sec-morphological-diversity— from layer 1-targeting Martinotti cells to locally arborizing non-Martinotti types — implies corresponding diversity in intrinsic electrical properties. Dendritic geometry constrains passive integration, soma size influences input resistance, and axonal targeting determines the temporal precision required of spike gener...content/05_intrinsic_electrophysiology.md:line 3Open reference54 reported that Gpr176 puncta count per cell was markedly higher in PV-positive neurons than SST-positive ones, and that Kv3 subfamily expression — critical for fast repolarization and high-frequency firing — differs substantial... -
2CitationThe morphological diversity of SST interneurons described in {ref}
sec-morphological-diversity— from layer 1-targeting Martinotti cells to locally arborizing non-Martinotti types — implies corresponding diversity in intrinsic electrical properties. Dendritic geometry constrains passive integration, soma size influences input resistance, and axonal targeting determines the temporal precision required of spike gener...content/05_intrinsic_electrophysiology.md:line 3Open reference55 Evolution of SST interneuron firing pattern classification across five landmark studies, organized by three major firing pattern categories (LTS/Bursting, Regular-Spiking/Adapting, Quasi-Fast-Spiking). Each colored block represents an identified SST subtype placed at its characteristic firing pattern, with color indicating morphological class. Studies span from the initial two-category framework of to the multimodal... -
2CitationThe morphological diversity of SST interneurons described in {ref}
sec-morphological-diversity— from layer 1-targeting Martinotti cells to locally arborizing non-Martinotti types — implies corresponding diversity in intrinsic electrical properties. Dendritic geometry constrains passive integration, soma size influences input resistance, and axonal targeting determines the temporal precision required of spike gener...content/05_intrinsic_electrophysiology.md:line 3Open reference56 Evolution of SST interneuron firing pattern classification across five landmark studies, organized by three major firing pattern categories (LTS/Bursting, Regular-Spiking/Adapting, Quasi-Fast-Spiking). Each colored block represents an identified SST subtype placed at its characteristic firing pattern, with color indicating morphological class. Studies span from the initial two-category framework of to the multimodal... -
... 92 additional anchors in refs_json
References
- [Nigro2018] “The morphological diversity of SST interneurons described in {ref}`sec-morphological-diversity` — from layer 1-targeting Martinotti cells to locally arborizing non-Martinotti types — implies corresponding diversity in intrinsic electrical properties. Dendritic geometry constrains passive integration, soma size influences input resistance, and axonal targeting determines the temporal precision required of spike gener...”
- [Hostetler2023b] “The morphological diversity of SST interneurons described in {ref}`sec-morphological-diversity` — from layer 1-targeting Martinotti cells to locally arborizing non-Martinotti types — implies corresponding diversity in intrinsic electrical properties. Dendritic geometry constrains passive integration, soma size influences input resistance, and axonal targeting determines the temporal precision required of spike gener...”
- [Ma2006] “A pivotal advance came from [Ma2006], who exploited GFP-expressing transgenic mouse lines to access distinct SST subpopulations. In the X98 line, GFP-positive neurons were infragranular, calbindin-containing, layer 1-targeting Martinotti cells that displayed a propensity to fire low-threshold calcium spikes, whereas X94 GFP-positive cells were quasi-fast-spiking stuttering interneurons residing in and targeting the...”
- [Chamberland2024] “In the hippocampus, [Chamberland2024] designed an approach to identify and access subpopulations of SST interneurons based on transcriptomic features, providing a framework to translate neuronal transcriptomic identity into discrete functional subtypes that capture the diverse specializations of hippocampal SST interneurons [Chamberland2024]. [Kim2023] demonstrated that molecular identification with FISH and classif...”
- [Kim2023] “In the hippocampus, [Chamberland2024] designed an approach to identify and access subpopulations of SST interneurons based on transcriptomic features, providing a framework to translate neuronal transcriptomic identity into discrete functional subtypes that capture the diverse specializations of hippocampal SST interneurons [Chamberland2024]. [Kim2023] demonstrated that molecular identification with FISH and classif...”
- [Shen2024] “In the hippocampus, [Chamberland2024] designed an approach to identify and access subpopulations of SST interneurons based on transcriptomic features, providing a framework to translate neuronal transcriptomic identity into discrete functional subtypes that capture the diverse specializations of hippocampal SST interneurons [Chamberland2024]. [Kim2023] demonstrated that molecular identification with FISH and classif...”
- [Mosso2025] “In the hippocampus, [Chamberland2024] designed an approach to identify and access subpopulations of SST interneurons based on transcriptomic features, providing a framework to translate neuronal transcriptomic identity into discrete functional subtypes that capture the diverse specializations of hippocampal SST interneurons [Chamberland2024]. [Kim2023] demonstrated that molecular identification with FISH and classif...”
- [Arbabi2023] “A critical methodological caveat applies to all Patch-seq and slice-based studies: [Arbabi2023] demonstrated that activated microglia may be widely present across brain slice preparations and contribute to neuron- and donor-related electrophysiological variability [Arbabi2023]. This tissue-health confound is rarely quantified, yet it could systematically bias passive property measurements — particularly input resist...”
- [Szrinivasan2025] “[Szrinivasan2025] provided particularly informative data by comparing KCC2-expressing and KCC2-negative interneurons within the same preparation, finding that KCC2-expressing interneurons — which localize predominantly to layer 5 and express somatostatin — have lower input resistance, lower rheobases, smaller action potential half-widths, and much higher firing frequencies than their KCC2-negative counterparts [Szri...”
- [Huang2023] “[Szrinivasan2025] provided particularly informative data by comparing KCC2-expressing and KCC2-negative interneurons within the same preparation, finding that KCC2-expressing interneurons — which localize predominantly to layer 5 and express somatostatin — have lower input resistance, lower rheobases, smaller action potential half-widths, and much higher firing frequencies than their KCC2-negative counterparts [Szri...”
- [Headley2026] “[Headley2026] offered a functional interpretation for the electrophysiological differences between interneuron classes, proposing that soma-targeting PV interneurons associate with gamma oscillations while dendrite-targeting SST interneurons associate with lower-frequency rhythms [Headley2026] — a dichotomy that maps onto the distinct membrane time constants of these populations (see {ref}`sec-oscillatory-dynamics`)...”
- [Ding2021] “Regional variation adds another dimension. [Ding2021] demonstrated through cluster analysis based on axonal projection patterns that layer 6 interneurons in rat medial prefrontal cortex include multiple clusters with Martinotti-like projections, each presumably with distinct passive property profiles [Ding2021]. [Mao2024] concluded that despite established layer- and area-dependent differences, there exists a set of...”
- [Mao2024] “Regional variation adds another dimension. [Ding2021] demonstrated through cluster analysis based on axonal projection patterns that layer 6 interneurons in rat medial prefrontal cortex include multiple clusters with Martinotti-like projections, each presumably with distinct passive property profiles [Ding2021]. [Mao2024] concluded that despite established layer- and area-dependent differences, there exists a set of...”
- [Meng2024] “[Meng2024] reported a surprising finding: Hcn1, which encodes the H-current, is highly expressed in PV cells, contradicting prior findings that sag currents — primarily mediated by H-currents — are smaller in PV than SST interneurons [Meng2024]. This observation complicates the simple narrative that Ih is an SST-specific marker and suggests that transcript-level analyses may not always predict functional current den...”
- [Bogaj2023] “The functional consequences of Ih heterogeneity within the SST population are substantial. Layer 5 T-shaped Martinotti cells, which target layer 1, display prominent Ih-mediated voltage sag and robust rebound bursting [Nigro2018, Hostetler2023b]. In contrast, the non-Martinotti quasi-fast-spiking cells described by [Ma2006] show minimal sag, consistent with low HCN channel expression [Ma2006]. [Bogaj2023] added a fu...”
- [Tian2025] “The distinction between slowly adapting Martinotti cells and quasi-fast-spiking non-Martinotti cells maps, in part, onto differential expression of voltage-gated potassium channels. [Tian2025] reported that Gpr176 puncta count per cell was markedly higher in PV-positive neurons than SST-positive ones, and that Kv3 subfamily expression — critical for fast repolarization and high-frequency firing — differs substantial...”
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