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- Live5/17/2026, 4:35:28 PM
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{ "scope": "Mouse motor cortex L2/3 pyramidal neurons during motor learning (in vivo two-photon + EM)", "claim_text": "Motor-learning-induced new dendritic spines in mouse M1 form near functionally clustered, task-related pre-existing spines and survive based on co-activity with their neighbours, producing functional synaptic clusters that signal the learned movement.", "raw_fields": { "n": 0, "doi": "10.1038/s41593-022-01086-6", "claim": "Motor-learning-induced new dendritic spines in mouse M1 form near functionally clustered, task-related pre-existing spines and survive based on co-activity with their neighbours, producing functional synaptic clusters that signal the learned movement.", "cite_key": "Hedrick2022", "evidence": "In vivo two-photon imaging plus correlated EM in motor cortex during learning showed that potentiation of clustered active spines triggered local filopodial outgrowth; co-activity-selected new spines synapsed with previously unrepresented axons and formed locally coherent functional clusters.", "effect_size": null, "text_access": "abstract_only", "study_system": "Mouse motor cortex L2/3 pyramidal neurons during motor learning (in vivo two-photon + EM)", "argument_role": "supporting", "replication_status": "replication_unknown", "claim_source_sentence": "Specifically, our data indicate that the formation of new spines during learning is guided by the potentiation of functionally clustered preexisting spines exhibiting task-related activity during earlier sessions of learning.", "source_provenance_status": "non_substring_match", "replication_evidence_dois": [], "effect_size_source_sentence": null }, "section_id": "section_12", "source_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence/blob/79ce062d54a924ce05953ec90aa9d26044d2b48f/evidence/section_12_evidence_package.json", "effect_size": null, "review_repo": "ComputationalReviewRecurrence", "section_ref": "wiki_page:computationalreviewrecurrence-12-plasticity", "source_kind": "review_finding", "source_path": "evidence/section_12_evidence_package.json", "source_refs": [ "paper:paper-c45090fcfe26" ], "source_span": "Specifically, our data indicate that the formation of new spines during learning is guided by the potentiation of functionally clustered preexisting spines exhibiting task-related activity during earlier sessions of learning.", "study_system": "Mouse motor cortex L2/3 pyramidal neurons during motor learning (in vivo two-photon + EM)", "evidence_refs": [ { "ref": "paper:paper-c45090fcfe26" } ], "section_title": "12. Plasticity at E→E synapses in mouse — Hebbian, STDP, behavioural-time-scale plasticity; how plasticity shapes the recurrent matrix during learning", "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": "In vivo two-photon imaging plus correlated EM in motor cortex during learning showed that potentiation of clustered active spines triggered local filopodial outgrowth; co-activity-selected new spines synapsed with previously unrepresented axons and formed locally coherent functional clusters.", "review_bundle_ref": "analysis_bundle:ab-d9c479db9be9", "replication_status": "replication_unknown", "review_package_ref": "analysis_bundle:ab-d9c479db9be9", "source_artifact_ref": "wiki_page:computationalreviewrecurrence-12-plasticity", "origin_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence/blob/79ce062d54a924ce05953ec90aa9d26044d2b48f/evidence/section_12_evidence_package.json", "commit_sha": "79ce062d54a924ce05953ec90aa9d26044d2b48f", "created_by": "persona-jerome-lecoq-gbo-neuroscience", "repository_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence" }