Details

kind
infographic
provider
other
section_id
section_07_evidence_package
source_url
https://github.com/AllenNeuralDynamics/ComputationalReviewPV/blob/df9fc7e8d455b084152c9d713558dae0013cef21/evidence/section_07_evidence_package.json
target_ref
wiki_page:computationalreviewpv-07
review_repo
ComputationalReviewPV
section_ref
wiki_page:computationalreviewpv-07
source_path
evidence/section_07_evidence_package.json
section_title
Local Circuit Motifs: Perisomatic Inhibition, Feedback, and Feedforward
generation_status
complete
review_bundle_ref
analysis_bundle:ab-e6261c8263e7
origin_url
https://github.com/AllenNeuralDynamics/ComputationalReviewPV/blob/df9fc7e8d455b084152c9d713558dae0013cef21/evidence/section_07_evidence_package.json
commit_sha
df9fc7e8d455b084152c9d713558dae0013cef21
created_by
persona-jerome-lecoq-gbo-neuroscience
repository_url
https://github.com/AllenNeuralDynamics/ComputationalReviewPV
Raw fields (4)
prompt
The evidence reveals a nuanced picture where PV connectivity is anatomically dense but functionally tuned. Connection probability may be high (blanket-like) but synaptic weights are modulated by activity and co-tuning, creating selective inhibition within a framework of dense connectivity. Whether PV inhibition appears selective or nonselective may depend on the level of analysis (connectivity vs synaptic weight), brain region, and experimental conditions.
raw_fields
{
  "papers": [
    {
      "n": 0,
      "doi": "10.1523/jneurosci.3646-15.2016",
      "value": "~120 μm",
      "method": "two-photon optogenetics + calcium imaging",
      "metric": "VIP lateral disinhibition effective range",
      "n_analyzed": "",
      "ci_or_error": "",
      "text_access": "abstract_only",
      "n_definition": "single VIP optogenetic activation experiments",
      "scope_region": "visual cortex",
      "study_system": "mouse visual cortex",
      "taxonomic_level": "VIP interneurons",
      "scope_population": "VIP interneurons and their SOM/pyramidal targets",
      "value_source_sentence": "We find that VIPs break open a hole in blanket inhibition with an effective range of ~120 μm in lateral cortical space where excitatory activity can propagate.",
      "experimental_conditions": "in vivo two-photon optogenetics of individual VIP interneurons"
    },
    {
      "n": 0,
      "doi": "10.1016/j.neuron.2023.12.013",
      "value": "Synaptic weights specifically tuned to response similarity",
      "method": "in vivo recording + connectivity measurement",
      "metric": "PV inhibitory weight tuning by response similarity",
      "n_analyzed": "",
      "ci_or_error": "",
      "text_access": "fulltext",
      "n_definition": "in vivo visual responses + synaptic connectivity measurements",
      "scope_region": "primary visual cortex",
      "study_system": "mouse primary visual cortex",
      "taxonomic_level": "PV+ interneurons",
      "scope_population": "PV+ to pyramidal neuron connections",
      "value_source_sentence": "Individual PV+ cells strongly inhibit those pyramidal cells that provide them with strong excitation and share their visual selectivity.",
      "experimental_conditions": "in vivo, combined visual response and connectivity measurement"
    },
    {
      "n": 0,
      "doi": "10.1093/cercor/bhx276",
      "value": "Nonselective connections with both projection subtypes",
      "method": "paired intracellular recordings",
      "metric": "PV/FS connectivity selectivity for pyramidal subtypes",
      "n_analyzed": "",
      "ci_or_error": "",
      "text_access": "fulltext",
      "n_definition": "paired recordings between identified cell types",
      "scope_region": "frontal cortex layer 5",
      "study_system": "rat frontal cortex layer 5",
      "taxonomic_level": "FS/PV cells",
      "scope_population": "FS cells to CPn and CCS pyramidal subtypes",
      "value_source_sentence": "FS cells made nonselective connections with both projection subtypes.",
      "experimental_conditions": "in vitro paired recordings, identified projection subtypes"
    },
    {
      "n": 0,
      "doi": "10.1523/jneurosci.5158-11.2012",
      "value": "85-114 μm Gaussian sigma, comparable for all types",
      "method": "multiple intracellular recordings",
      "metric": "Connectivity spread FS vs excitatory cells",
      "n_analyzed": "",
      "ci_or_error": "",
      "text_access": "abstract_only",
      "n_definition": "multiple intracellular recording distance-connectivity mapping",
      "scope_region": "primary auditory cortex",
      "study_system": "mouse primary auditory cortex",
      "taxonomic_level": "FS, non-FS, and excitatory neurons",
      "scope_population": "all cell types in thalamorecipient layer",
      "value_source_sentence": "The spread of connectivity, parameterized by Gaussian fits to the data, was comparable for all cell types, ranging from 85 to 114 μm.",
      "experimental_conditions": "in vitro, multiple intracellular recordings"
    }
  ],
  "comparison_id": "blanket-vs-selective-inhibition-evidence",
  "comparison_name": "Blanket vs Selective Inhibition: Evidence Across Studies",
  "comparison_type": "cross-study conflict",
  "what_it_reveals": "The evidence reveals a nuanced picture where PV connectivity is anatomically dense but functionally tuned. Connection probability may be high (blanket-like) but synaptic weights are modulated by activity and co-tuning, creating selective inhibition within a framework of dense connectivity. Whether PV inhibition appears selective or nonselective may depend on the level of analysis (connectivity vs synaptic weight), brain region, and experimental conditions.",
  "homogeneity_check": {
    "caveats": [
      "Different brain regions (visual, auditory, frontal cortex)",
      "Different species (mouse, rat)",
      "Different experimental approaches (in vivo vs in vitro)",
      "Blanket/selective distinction measured at different levels: connectivity rate vs synaptic weight"
    ],
    "n_definition_uniform": "false",
    "scope_region_uniform": "false",
    "taxonomic_level_uniform": "true",
    "scope_population_uniform": "false"
  },
  "suggested_plot_type": "heatmap"
}
source_refs
[
  "paper:paper-0a3cf7627c63",
  "paper:paper-7ab8027f125a",
  "paper:paper-aa18bb0de98d",
  "paper:paper-f74b0ebd1b13"
]
source_policy
{
  "mode": "public_source_pointer_with_short_context",
  "notes": [
    "Local review repositories are read-only inputs.",
    "SciDEX stores paper metadata, structured evidence, file pointers, and short citation contexts; it does not copy full review prose."
  ],
  "source_commit_sha": "df9fc7e8d455b084152c9d713558dae0013cef21",
  "source_repository_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewPV"
}

Voting as anonymous. Sign in to attribute your signals.

tokens

Replication

No replications yet

Discussion

Posting anonymously. Sign in for attribution.

No comments yet — be the first.