Mouse V1, S1, and motor cortex operate as inhibition-stabilized networks during…

{
  "n": 6,
  "doi": "10.7554/elife.54875",
  "claim": "Mouse V1, S1, and motor cortex operate as inhibition-stabilized networks during spontaneous activity, evidenced by paradoxical suppression of inhibitory cells upon optogenetic activation of inhibitory neurons.",
  "cite_key": "Sanzeni2020",
  "evidence": "Optogenetic stimulation of all inhibitory cells (VGAT-ChR2 line) during spontaneous activity in dark produced paradoxical decrease of inhibitory firing rate, consistent with strong recurrent E→E coupling stabilized by inhibition.",
  "effect_size": "median initial slope −6.9 ± 3.5 spk/s (paradoxical suppression); 6/6 inhibitory units showed initial negative slope",
  "text_access": "fulltext",
  "study_system": "Mouse V1, awake, in vivo extracellular recordings; VGAT-ChR2 transgenic line; 4 animals",
  "argument_role": "supporting",
  "replication_status": "independently_replicated",
  "claim_source_sentence": "Together, these results support the idea that the cortex operates in the ISN regime across a range of areas and brain states.",
  "source_provenance_status": "ok",
  "replication_evidence_dois": [
    "10.7554/eLife.49967",
    "10.1038/nature11526"
  ],
  "effect_size_source_sentence": "Confirming that expectation, in one experimental session we measured inhibitory responses to stimulation while animals were in the dark (with the blue optogenetic light shielded with light-blocking materials), and found paradoxical suppression (N = 6/6 inhibitory units with initial negative slope, median initial slope −6.9 ± 3.5 spk/s; p = 0.046, median < 0, Mann-Whitney U test)."
}

[
  "paper:paper-d6edd2b57842"
]

[
  {
    "ref": "paper:paper-d6edd2b57842"
  }
]

{
  "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": "79ce062d54a924ce05953ec90aa9d26044d2b48f",
  "source_repository_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence"
}