Version history

{
  "scope": "mouse V1 L2/3 analytical model with optogenetic perturbation data",
  "claim_text": "The spatial radius of nearby excitation following single excitatory neuron perturbation is significantly narrower than the E→E connectivity length scale, and this narrow excitation arises from strong inhibition rather than from inhibitory connections being broader than excitatory connections.",
  "raw_fields": {
    "n": 0,
    "doi": "10.1073/pnas.2426758122",
    "claim": "The spatial radius of nearby excitation following single excitatory neuron perturbation is significantly narrower than the E→E connectivity length scale, and this narrow excitation arises from strong inhibition rather than from inhibitory connections being broader than excitatory connections.",
    "cite_key": "Chau2025",
    "evidence": "Exact analytical solution of a linear recurrent E-I network model with exponential-like spatial connectivity kernels fitted to mouse V1 L2/3 connection probability and synaptic strength data, compared to two-photon optogenetic single-cell perturbation data.",
    "effect_size": "",
    "text_access": "fulltext",
    "study_system": "mouse V1 L2/3 analytical model with optogenetic perturbation data",
    "argument_role": "supporting",
    "replication_status": "consistent_with_prior",
    "claim_source_sentence": "Furthermore, the length scale of E → E connectivity (SDfor a Gaussian spatial profile,) is significantly broader than the spatial radius of nearby excitation (,), and an even shorter radius of excitation () is seen for multicell perturbations, which could not be explained by a model with a Gaussian spatial profile for each connection ().",
    "source_provenance_status": "ok",
    "replication_evidence_dois": [],
    "effect_size_source_sentence": ""
  },
  "section_id": "section_05",
  "source_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence/blob/79ce062d54a924ce05953ec90aa9d26044d2b48f/evidence/section_05_evidence_package.json",
  "effect_size": "",
  "review_repo": "ComputationalReviewRecurrence",
  "section_ref": "wiki_page:computationalreviewrecurrence-05-horizontal",
  "source_kind": "review_finding",
  "source_path": "evidence/section_05_evidence_package.json",
  "source_refs": [
    "paper:paper-07c82e3d34e3"
  ],
  "source_span": "Furthermore, the length scale of E → E connectivity (SDfor a Gaussian spatial profile,) is significantly broader than the spatial radius of nearby excitation (,), and an even shorter radius of excitation () is seen for multicell perturbations, which could not be explained by a model with a Gaussian spatial profile for each connection ().",
  "study_system": "mouse V1 L2/3 analytical model with optogenetic perturbation data",
  "evidence_refs": [
    {
      "ref": "paper:paper-07c82e3d34e3"
    }
  ],
  "section_title": "5. Horizontal long-range intracortical excitatory connections in mouse — patchy L2/3-L5 axons, similarity tuning, distance-decay",
  "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": "79ce062d54a924ce05953ec90aa9d26044d2b48f",
    "source_repository_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence"
  },
  "evidence_summary": "Exact analytical solution of a linear recurrent E-I network model with exponential-like spatial connectivity kernels fitted to mouse V1 L2/3 connection probability and synaptic strength data, compared to two-photon optogenetic single-cell perturbation data.",
  "review_bundle_ref": "analysis_bundle:ab-d9c479db9be9",
  "replication_status": "consistent_with_prior",
  "review_package_ref": "analysis_bundle:ab-d9c479db9be9",
  "source_artifact_ref": "wiki_page:computationalreviewrecurrence-05-horizontal",
  "origin_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence/blob/79ce062d54a924ce05953ec90aa9d26044d2b48f/evidence/section_05_evidence_package.json",
  "commit_sha": "79ce062d54a924ce05953ec90aa9d26044d2b48f",
  "created_by": "persona-jerome-lecoq-gbo-neuroscience",
  "repository_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence"
}