Version history

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  1. Live 75605a31b46c
    5/17/2026, 4:35:28 PM
    Content snapshot
    {
      "scope": "mouse V1 (slice); two-photon optogenetic input mapping ('optomapping') to pyramidal, basket and Martinotti cells",
      "claim_text": "Two-photon optogenetic 'optomapping' of mouse V1 reveals a log-normal distribution of excitatory synaptic efficacies and shows that the excitation of basket cells is stronger and reaches farther than excitation of pyramidal cells.",
      "raw_fields": {
        "n": 0,
        "doi": "10.1016/j.xinn.2024.100735",
        "claim": "Two-photon optogenetic 'optomapping' of mouse V1 reveals a log-normal distribution of excitatory synaptic efficacies and shows that the excitation of basket cells is stronger and reaches farther than excitation of pyramidal cells.",
        "cite_key": "Chou2025",
        "evidence": "Two-photon optogenetic mapping of 30,454 candidate inputs to pyramidal, basket and Martinotti cells in mouse V1 slices, revealing 1,790 excitatory inputs.",
        "effect_size": "Log-normal efficacy distribution; basket-cell excitation stronger and longer-range than pyramidal-cell excitation",
        "text_access": "abstract_only",
        "study_system": "mouse V1 (slice); two-photon optogenetic input mapping ('optomapping') to pyramidal, basket and Martinotti cells",
        "argument_role": "supporting",
        "replication_status": "independently_replicated",
        "claim_source_sentence": "Across these cell types, log-normal distribution of synaptic efficacies emerged as a principle.",
        "source_provenance_status": "non_substring_match",
        "replication_evidence_dois": [
          "10.7554/eLife.71103",
          "10.1038/nature14182"
        ],
        "effect_size_source_sentence": "The excitation of basket cells was stronger and reached farther than the excitation of pyramidal cells, which may promote stability."
      },
      "section_id": "section_05",
      "source_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence/blob/79ce062d54a924ce05953ec90aa9d26044d2b48f/evidence/section_05_evidence_package.json",
      "effect_size": "Log-normal efficacy distribution; basket-cell excitation stronger and longer-range than pyramidal-cell excitation",
      "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-20192df165b8"
      ],
      "source_span": "Across these cell types, log-normal distribution of synaptic efficacies emerged as a principle.",
      "study_system": "mouse V1 (slice); two-photon optogenetic input mapping ('optomapping') to pyramidal, basket and Martinotti cells",
      "evidence_refs": [
        {
          "ref": "paper:paper-20192df165b8"
        }
      ],
      "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": "Two-photon optogenetic mapping of 30,454 candidate inputs to pyramidal, basket and Martinotti cells in mouse V1 slices, revealing 1,790 excitatory inputs.",
      "review_bundle_ref": "analysis_bundle:ab-d9c479db9be9",
      "replication_status": "independently_replicated",
      "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"
    }