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
3b6c66716740Content snapshot
{ "scope": "mouse binocular visual cortex L2/3 pyramidal cells", "claim_text": "Functional, electrophysiological, dendritic and connectivity properties of L2/3 pyramidal cells in mouse binocular visual cortex vary continuously with pial depth (apical-dendrite structure, intralaminar vs L4 input bias, visual responsiveness, ocular dominance) rather than splitting into discrete subtypes.", "raw_fields": { "n": null, "doi": "10.1093/cercor/bhac303", "claim": "Functional, electrophysiological, dendritic and connectivity properties of L2/3 pyramidal cells in mouse binocular visual cortex vary continuously with pial depth (apical-dendrite structure, intralaminar vs L4 input bias, visual responsiveness, ocular dominance) rather than splitting into discrete subtypes.", "cite_key": "Weiler2023", "evidence": "Combined stimulus selectivity, electrophysiology, dendritic morphology and connectivity assays across L2/3 depth in mouse binocular V1.", "effect_size": null, "text_access": "abstract_only", "study_system": "mouse binocular visual cortex L2/3 pyramidal cells", "argument_role": "supporting", "replication_status": "replication_unknown", "claim_source_sentence": "Lower L2/3 PyrCs receive increased input from L4, while upper L2/3 PyrCs receive a larger proportion of intralaminar input... the property value transitions are gradual, and L2/3 PyrCs do not display discrete subtypes based on these parameters. Therefore, L2/3 PyrCs' multiple functional and structural properties systematically correlate with their depth, forming a continuum rather than discrete subtypes.", "source_provenance_status": "non_substring_match", "replication_evidence_dois": [], "effect_size_source_sentence": null }, "section_id": "section_02", "source_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence/blob/79ce062d54a924ce05953ec90aa9d26044d2b48f/evidence/section_02_evidence_package.json", "effect_size": null, "review_repo": "ComputationalReviewRecurrence", "section_ref": "wiki_page:computationalreviewrecurrence-02-anatomy-primer", "source_kind": "review_finding", "source_path": "evidence/section_02_evidence_package.json", "source_refs": [ "paper:paper-604a12dad297" ], "source_span": "Lower L2/3 PyrCs receive increased input from L4, while upper L2/3 PyrCs receive a larger proportion of intralaminar input... the property value transitions are gradual, and L2/3 PyrCs do not display discrete subtypes based on these parameters. Therefore, L2/3 PyrCs' multiple functional and structural properties systematically correlate with their depth, forming a continuum rather than discrete subtypes.", "study_system": "mouse binocular visual cortex L2/3 pyramidal cells", "evidence_refs": [ { "ref": "paper:paper-604a12dad297" } ], "section_title": "2. Mouse-cortex anatomy primer — areal map, layer structure, projection-class nomenclature (IT / PT / CT), tools available for E→E dissection (paired patch, Cre lines, two-photon-targeted patch, optogenetics, EM reconstruction)", "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": "Combined stimulus selectivity, electrophysiology, dendritic morphology and connectivity assays across L2/3 depth in mouse binocular V1.", "review_bundle_ref": "analysis_bundle:ab-d9c479db9be9", "replication_status": "replication_unknown", "review_package_ref": "analysis_bundle:ab-d9c479db9be9", "source_artifact_ref": "wiki_page:computationalreviewrecurrence-02-anatomy-primer", "origin_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence/blob/79ce062d54a924ce05953ec90aa9d26044d2b48f/evidence/section_02_evidence_package.json", "commit_sha": "79ce062d54a924ce05953ec90aa9d26044d2b48f", "created_by": "persona-jerome-lecoq-gbo-neuroscience", "repository_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence" }