Version history

{
  "scope": "Mouse visual system; large-scale Allen-Observatory style spike recordings",
  "claim_text": "Information- and autocorrelation-timescales of mouse visual cortex spiking activity increase along the anatomical hierarchy, with intrinsic timescales also hierarchical in spontaneous activity, supporting recurrent-mechanism accounts of hierarchical temporal integration in mouse cortex.",
  "raw_fields": {
    "n": 0,
    "doi": "10.1371/journal.pcbi.1012355",
    "claim": "Information- and autocorrelation-timescales of mouse visual cortex spiking activity increase along the anatomical hierarchy, with intrinsic timescales also hierarchical in spontaneous activity, supporting recurrent-mechanism accounts of hierarchical temporal integration in mouse cortex.",
    "cite_key": "Rudelt2024",
    "evidence": "Methodological paper that explicitly addresses a prior conflict between hierarchical-timescale claims and earlier rodent spike recordings — supports cluster_14 synthesis about what mouse-cortex recordings actually substantiate.",
    "effect_size": null,
    "text_access": "abstract_only",
    "study_system": "Mouse visual system; large-scale Allen-Observatory style spike recordings",
    "argument_role": "supporting",
    "replication_status": "single-study",
    "claim_source_sentence": "Here, we used an optimized information-theoretic and classical autocorrelation analysis to show that information- and correlation timescales of spiking activity increase along the anatomical hierarchy of the mouse visual system under visual stimulation, while information-theoretic predictability decreases.",
    "source_provenance_status": "non_substring_match",
    "replication_evidence_dois": [],
    "effect_size_source_sentence": null
  },
  "section_id": "section_16",
  "source_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence/blob/79ce062d54a924ce05953ec90aa9d26044d2b48f/evidence/section_16_evidence_package.json",
  "effect_size": null,
  "review_repo": "ComputationalReviewRecurrence",
  "section_ref": "wiki_page:computationalreviewrecurrence-16-synthesis",
  "source_kind": "review_finding",
  "source_path": "evidence/section_16_evidence_package.json",
  "source_refs": [
    "paper:paper-9d260989c565"
  ],
  "source_span": "Here, we used an optimized information-theoretic and classical autocorrelation analysis to show that information- and correlation timescales of spiking activity increase along the anatomical hierarchy of the mouse visual system under visual stimulation, while information-theoretic predictability decreases.",
  "study_system": "Mouse visual system; large-scale Allen-Observatory style spike recordings",
  "evidence_refs": [
    {
      "ref": "paper:paper-9d260989c565"
    }
  ],
  "section_title": "16. Synthesis — which computational claims the mouse-cortex E→E empirical record actually supports, where the bottleneck observations are, and what an inhibition-free, single-species, basic-research analytic framing misses",
  "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": "Methodological paper that explicitly addresses a prior conflict between hierarchical-timescale claims and earlier rodent spike recordings — supports cluster_14 synthesis about what mouse-cortex recordings actually substantiate.",
  "review_bundle_ref": "analysis_bundle:ab-d9c479db9be9",
  "replication_status": "single-study",
  "review_package_ref": "analysis_bundle:ab-d9c479db9be9",
  "source_artifact_ref": "wiki_page:computationalreviewrecurrence-16-synthesis",
  "origin_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence/blob/79ce062d54a924ce05953ec90aa9d26044d2b48f/evidence/section_16_evidence_package.json",
  "commit_sha": "79ce062d54a924ce05953ec90aa9d26044d2b48f",
  "created_by": "persona-jerome-lecoq-gbo-neuroscience",
  "repository_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence"
}