Version history
1 version on record. Newest first; the live version sits at the top with a live indicator.
- Live5/17/2026, 4:35:28 PM
609de7a13afcContent 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" }