Mouse V1 L5 pyramidal physiology — review-style statement of L5↔L5 recurrent ex…

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  "doi": "10.1371/journal.pcbi.1004090",
  "claim": "Mouse V1 L5 pyramidal physiology — review-style statement of L5↔L5 recurrent excitatory connections within the column.",
  "cite_key": "Shai2015",
  "evidence": "L5 pyramidal neurons are the only neocortical cell type with dendrites reaching all six layers of cortex, casting them as one of the main integrators in the cortical column. What is the nature and mode of computation performed in mouse primary visual cortex (V1) given the physiology of L5 pyramidal neurons? First, we experimentally establish active properties of the dendrites of L5 pyramidal neurons of mouse V1 using patch-clamp recordings. Using a detailed multi-compartmental model, we show this physiological setup to be well suited for coincidence detection between basal and apical tuft inputs by controlling the frequency of spike output. We further show how direct inhibition of calcium channels in the dendrites modulates such coincidence detection. To establish the singe-cell computation that this biophysics supports, we show that the combination of frequency-modulation of somatic output by tuft input and (simulated) calcium-channel blockage functionally acts as a composite sigmoidal function. Finally, we explore how this computation provides a mechanism whereby dendritic spiking contributes to orientation tuning in pyramidal neurons.",
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  "claim_source_sentence": "Alongside the long-range axons of L5 pyramidal neurons in mouse V1, reciprocal excitatory connections among L5 pyramidal neurons also exist within the local circuit, contributing to a recurrent excitatory substrate for coincidence detection and bursting.",
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  "paper:pmid:25768881"
]

Alongside the long-range axons of L5 pyramidal neurons in mouse V1, reciprocal excitatory connections among L5 pyramidal neurons also exist within the local circuit, contributing to a recurrent excitatory substrate for coincidence detection and bursting.

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L5 pyramidal neurons are the only neocortical cell type with dendrites reaching all six layers of cortex, casting them as one of the main integrators in the cortical column. What is the nature and mode of computation performed in mouse primary visual cortex (V1) given the physiology of L5 pyramidal neurons? First, we experimentally establish active properties of the dendrites of L5 pyramidal neurons of mouse V1 using patch-clamp recordings. Using a detailed multi-compartmental model, we show this physiological setup to be well suited for coincidence detection between basal and apical tuft inputs by controlling the frequency of spike output. We further show how direct inhibition of calcium channels in the dendrites modulates such coincidence detection. To establish the singe-cell computation that this biophysics supports, we show that the combination of frequency-modulation of somatic output by tuft input and (simulated) calcium-channel blockage functionally acts as a composite sigmoidal function. Finally, we explore how this computation provides a mechanism whereby dendritic spiking contributes to orientation tuning in pyramidal neurons.