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1 version on record. Newest first; the live version sits at the top with a live indicator.
- Live5/17/2026, 4:35:28 PM
010d9b65913cContent snapshot
{ "scope": "mouse visual cortical network (10 areas)", "claim_text": "Quantitative analysis of laminar termination patterns from 10 mouse visual areas yields a continuous hierarchical distance metric and shows that mouse visual cortex is composed of multiple non-hierarchical subnetworks embedded within an overall hierarchical organization of overlapping levels, with the ventral stream more strictly hierarchical than the dorsal stream.", "raw_fields": { "n": null, "doi": "10.1038/s41467-022-28035-y", "claim": "Quantitative analysis of laminar termination patterns from 10 mouse visual areas yields a continuous hierarchical distance metric and shows that mouse visual cortex is composed of multiple non-hierarchical subnetworks embedded within an overall hierarchical organization of overlapping levels, with the ventral stream more strictly hierarchical than the dorsal stream.", "cite_key": "DSouza2022", "evidence": "Laminar pattern analysis of interareal axonal projections across ten mouse visual areas combined with single-unit receptive-field recordings.", "effect_size": null, "text_access": "abstract_only", "study_system": "mouse visual cortical network (10 areas)", "argument_role": "supporting", "replication_status": "replication_unknown", "claim_source_sentence": "Beta regression analyses, which estimate a continuous hierarchical distance measure, indicate that the network comprises multiple nonhierarchical circuits embedded in a hierarchical organization of overlapping levels. Single-unit recordings in anaesthetized mice show that receptive field sizes are generally consistent with the hierarchy, with the ventral stream exhibiting a stricter hierarchy than the dorsal stream.", "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-f962a8f32d6b" ], "source_span": "Beta regression analyses, which estimate a continuous hierarchical distance measure, indicate that the network comprises multiple nonhierarchical circuits embedded in a hierarchical organization of overlapping levels. Single-unit recordings in anaesthetized mice show that receptive field sizes are generally consistent with the hierarchy, with the ventral stream exhibiting a stricter hierarchy than the dorsal stream.", "study_system": "mouse visual cortical network (10 areas)", "evidence_refs": [ { "ref": "paper:paper-f962a8f32d6b" } ], "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": "Laminar pattern analysis of interareal axonal projections across ten mouse visual areas combined with single-unit receptive-field recordings.", "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" }