Version history

{
  "scope": "Awake mouse motor cortex (recordings + model)",
  "claim_text": "Awake mouse motor cortex jointly hosts a low-dimensional critical subspace (long-timescale, large fluctuations) orthogonal to a desynchronized high-dimensional subspace — multiplexed dynamical regimes in the same circuit.",
  "raw_fields": {
    "n": null,
    "doi": "10.1126/sciadv.adj9303",
    "claim": "Awake mouse motor cortex jointly hosts a low-dimensional critical subspace (long-timescale, large fluctuations) orthogonal to a desynchronized high-dimensional subspace — multiplexed dynamical regimes in the same circuit.",
    "cite_key": "Fontenele2024",
    "evidence": "Spike-train recordings in awake mouse motor cortex with subspace decomposition; corroborated by a computational model showing criticality emerges at long timescales.",
    "effect_size": "Critical subspace evident only at long timescales",
    "text_access": "abstract_only",
    "study_system": "Awake mouse motor cortex (recordings + model)",
    "argument_role": "supporting",
    "replication_status": "replication_unknown",
    "claim_source_sentence": "In awake mouse motor cortex, we find a low-dimensional subspace with large fluctuations consistent with criticality-a dynamical regime with moderate correlations and multi-scale information capacity and transmission.",
    "source_provenance_status": "non_substring_match",
    "replication_evidence_dois": [],
    "effect_size_source_sentence": "The critical subspace is apparent only at long timescales, which explains discrepancies among some previous studies."
  },
  "section_id": "section_14",
  "source_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence/blob/79ce062d54a924ce05953ec90aa9d26044d2b48f/evidence/section_14_evidence_package.json",
  "effect_size": "Critical subspace evident only at long timescales",
  "review_repo": "ComputationalReviewRecurrence",
  "section_ref": "wiki_page:computationalreviewrecurrence-14-predictive-coding",
  "source_kind": "review_finding",
  "source_path": "evidence/section_14_evidence_package.json",
  "source_refs": [
    "paper:paper-720b86dab94a"
  ],
  "source_span": "In awake mouse motor cortex, we find a low-dimensional subspace with large fluctuations consistent with criticality-a dynamical regime with moderate correlations and multi-scale information capacity and transmission.",
  "study_system": "Awake mouse motor cortex (recordings + model)",
  "evidence_refs": [
    {
      "ref": "paper:paper-720b86dab94a"
    }
  ],
  "section_title": "14. Predictive-coding and dynamical-systems accounts — the role of recurrent excitatory feedback in error signalling, state estimation, and reservoir computing, evaluated against mouse data",
  "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": "Spike-train recordings in awake mouse motor cortex with subspace decomposition; corroborated by a computational model showing criticality emerges at long timescales.",
  "review_bundle_ref": "analysis_bundle:ab-d9c479db9be9",
  "replication_status": "replication_unknown",
  "review_package_ref": "analysis_bundle:ab-d9c479db9be9",
  "source_artifact_ref": "wiki_page:computationalreviewrecurrence-14-predictive-coding",
  "origin_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence/blob/79ce062d54a924ce05953ec90aa9d26044d2b48f/evidence/section_14_evidence_package.json",
  "commit_sha": "79ce062d54a924ce05953ec90aa9d26044d2b48f",
  "created_by": "persona-jerome-lecoq-gbo-neuroscience",
  "repository_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence"
}