The inhibition/excitation ratio of inter-areal cortico-cortical inputs onto mou…

The inhibition/excitation ratio of inter-areal cortico-cortical inputs onto mouse visual cortical neurons scales with the hierarchical distance of the source–target pair, declining from the most feedforward to the most feedback pathway in L2/3.

{
  "n": null,
  "doi": "10.7554/elife.19332",
  "claim": "The inhibition/excitation ratio of inter-areal cortico-cortical inputs onto mouse visual cortical neurons scales with the hierarchical distance of the source–target pair, declining from the most feedforward to the most feedback pathway in L2/3.",
  "cite_key": "DSouza2016",
  "evidence": "Subcellular ChR2-assisted circuit mapping of FF and FB inputs onto pyramidal and PV interneurons across V1 and higher visual areas in mouse.",
  "effect_size": "Monotonic I/E scaling with hierarchical position (qualitative); interareal excitation onto PV > pyramidal in all L2/3 pathways.",
  "text_access": "abstract_only",
  "study_system": "Mouse V1 and higher visual areas; sCRACM",
  "argument_role": "supporting",
  "replication_status": "single-study",
  "claim_source_sentence": "While interareal excitation was stronger in PV than in pyramidal neurons in all layer 2/3 pathways, we observed a gradual scaling down of the inhibition/excitation ratio from the most feedforward to the most feedback pathway.",
  "source_provenance_status": "non_substring_match",
  "replication_evidence_dois": [],
  "effect_size_source_sentence": "Our results indicate that interareal gain control depends on the hierarchical position of the source and the target, the direction of information flow through the network, and the laminar location of target neurons."
}

[
  "paper:paper-c0b096c22b35"
]

[
  {
    "ref": "paper:paper-c0b096c22b35"
  }
]

{
  "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"
}