Version history

1 version on record. Newest first; the live version sits at the top with a live indicator.

  1. Live 609de7a13afc
    5/17/2026, 4:35:28 PM
    Content snapshot
    {
      "scope": "Mouse, monkey, human motor cortex intracortical recordings + RNN models",
      "claim_text": "Movement-related motor-cortex dynamics are conserved across mouse, monkey, and human — and more conserved across species than across regions or between preparation and execution within an animal.",
      "raw_fields": {
        "n": null,
        "doi": "10.64898/2026.03.06.709637",
        "claim": "Movement-related motor-cortex dynamics are conserved across mouse, monkey, and human — and more conserved across species than across regions or between preparation and execution within an animal.",
        "cite_key": "Codol2026",
        "evidence": "Intracortical recordings from mouse, monkey and human motor cortex during reaching/grasping; RNN models trained on reaching reproduce the conservation.",
        "effect_size": "Cross-species dynamics conservation exceeded within-subject across-region conservation",
        "text_access": "abstract_only",
        "study_system": "Mouse, monkey, human motor cortex intracortical recordings + RNN models",
        "argument_role": "supporting",
        "replication_status": "independently_replicated",
        "claim_source_sentence": "Strikingly, neural dynamics during movement across species were more conserved than those across brain regions in the same human and between motor preparation and execution in the same monkeys.",
        "source_provenance_status": "non_substring_match",
        "replication_evidence_dois": [
          "10.1038/s41586-023-06714-0"
        ],
        "effect_size_source_sentence": "Remarkably, we found that movement-related neural dynamics were highly conserved across species, while variations in behavioral output were uniquely captured in neural trajectory geometries."
      },
      "section_id": "section_14",
      "source_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence/blob/79ce062d54a924ce05953ec90aa9d26044d2b48f/evidence/section_14_evidence_package.json",
      "effect_size": "Cross-species dynamics conservation exceeded within-subject across-region conservation",
      "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-9dd7288ec071"
      ],
      "source_span": "Strikingly, neural dynamics during movement across species were more conserved than those across brain regions in the same human and between motor preparation and execution in the same monkeys.",
      "study_system": "Mouse, monkey, human motor cortex intracortical recordings + RNN models",
      "evidence_refs": [
        {
          "ref": "paper:paper-9dd7288ec071"
        }
      ],
      "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": "Intracortical recordings from mouse, monkey and human motor cortex during reaching/grasping; RNN models trained on reaching reproduce the conservation.",
      "review_bundle_ref": "analysis_bundle:ab-d9c479db9be9",
      "replication_status": "independently_replicated",
      "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"
    }