Version history

{
  "scope": "Awake mouse V1 layer 2/3 (two-photon calcium imaging)",
  "claim_text": "GCaMP6 indicators reliably detect single action potentials in layer 2/3 pyramidal somata and orientation-tuned synaptic calcium transients in individual dendritic spines of awake mouse V1, with structurally persistent spine orientation tuning stable over weeks — defining the present sensitivity ceiling for in-vivo calcium imaging in mouse cortex.",
  "raw_fields": {
    "n": 0,
    "doi": "10.1038/nature12354",
    "claim": "GCaMP6 indicators reliably detect single action potentials in layer 2/3 pyramidal somata and orientation-tuned synaptic calcium transients in individual dendritic spines of awake mouse V1, with structurally persistent spine orientation tuning stable over weeks — defining the present sensitivity ceiling for in-vivo calcium imaging in mouse cortex.",
    "cite_key": "Chen2013",
    "evidence": "Single-spike resolution in L2/3 somata; single-spine orientation tuning resolution; week-scale longitudinal stability in mouse V1.",
    "effect_size": "single-AP detection in somata; week-scale spine tuning stability",
    "text_access": "fulltext",
    "study_system": "Awake mouse V1 layer 2/3 (two-photon calcium imaging)",
    "argument_role": "supporting",
    "replication_status": "landmark-method",
    "claim_source_sentence": "In layer 2/3 pyramidal neurons of the mouse visual cortex, GCaMP6 reliably detected single action potentials in neuronal somata and orientation-tuned synaptic calcium transients in individual dendritic spines. The orientation tuning of structurally persistent spines was largely stable over timescales of weeks.",
    "source_provenance_status": "ok",
    "replication_evidence_dois": [],
    "effect_size_source_sentence": "GCaMP6 reliably detected single action potentials in neuronal somata and orientation-tuned synaptic calcium transients in individual dendritic spines."
  },
  "section_id": "section_15",
  "source_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence/blob/79ce062d54a924ce05953ec90aa9d26044d2b48f/evidence/section_15_evidence_package.json",
  "effect_size": "single-AP detection in somata; week-scale spine tuning stability",
  "review_repo": "ComputationalReviewRecurrence",
  "section_ref": "wiki_page:computationalreviewrecurrence-15-methods-limits",
  "source_kind": "review_finding",
  "source_path": "evidence/section_15_evidence_package.json",
  "source_refs": [
    "paper:577e8d9c-6914-4e20-884c-e57013fb6564"
  ],
  "source_span": "In layer 2/3 pyramidal neurons of the mouse visual cortex, GCaMP6 reliably detected single action potentials in neuronal somata and orientation-tuned synaptic calcium transients in individual dendritic spines. The orientation tuning of structurally persistent spines was largely stable over timescales of weeks.",
  "study_system": "Awake mouse V1 layer 2/3 (two-photon calcium imaging)",
  "evidence_refs": [
    {
      "ref": "paper:577e8d9c-6914-4e20-884c-e57013fb6564"
    }
  ],
  "section_title": "15. Methodological limits and emerging tools — what current mouse-cortex tools cannot yet measure about E→E recurrence (subthreshold network activity, fast plasticity in vivo, millimetre-scale dynamic connectomes), and what is on the near horizon",
  "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": "Single-spike resolution in L2/3 somata; single-spine orientation tuning resolution; week-scale longitudinal stability in mouse V1.",
  "review_bundle_ref": "analysis_bundle:ab-d9c479db9be9",
  "replication_status": "landmark-method",
  "review_package_ref": "analysis_bundle:ab-d9c479db9be9",
  "source_artifact_ref": "wiki_page:computationalreviewrecurrence-15-methods-limits",
  "origin_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence/blob/79ce062d54a924ce05953ec90aa9d26044d2b48f/evidence/section_15_evidence_package.json",
  "commit_sha": "79ce062d54a924ce05953ec90aa9d26044d2b48f",
  "created_by": "persona-jerome-lecoq-gbo-neuroscience",
  "repository_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence"
}