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
82f13974c8e1Content snapshot
{ "scope": "Review; mouse + primate cortico-cortical anatomy.", "claim_text": "Across cortico-cortical pathways, both the layer of origin and the layer of termination plus selective targeting of distinct excitatory and inhibitory postsynaptic populations produce pathway-specific cellular and synaptic architecture in cortex — the laminar organization is the dominant principle distinguishing inter-areal pathways.", "raw_fields": { "n": null, "doi": "10.3389/fnana.2017.00071", "claim": "Across cortico-cortical pathways, both the layer of origin and the layer of termination plus selective targeting of distinct excitatory and inhibitory postsynaptic populations produce pathway-specific cellular and synaptic architecture in cortex — the laminar organization is the dominant principle distinguishing inter-areal pathways.", "cite_key": "DSouza2017", "evidence": "Synthesis of laminar mapping and CRACM-style circuit-mapping studies of cortico-cortical pathways across mouse and primate cortex.", "effect_size": "Laminar origin/termination + cell-type selectivity defines functionally distinct inter-areal computations.", "text_access": "abstract_only", "study_system": "Review; mouse + primate cortico-cortical anatomy.", "argument_role": "supporting", "replication_status": "replicated", "claim_source_sentence": "By originating and terminating in different laminae, and by selectively targeting specific populations of excitatory and inhibitory neurons, these 'inter-areal' pathways are configured to perform distinct computations.", "source_provenance_status": "non_substring_match", "replication_evidence_dois": [ "10.7554/eLife.100478" ], "effect_size_source_sentence": "In what ways do these pathways differ? By originating and terminating in different laminae, and by selectively targeting specific populations of excitatory and inhibitory neurons." }, "section_id": "section_08", "source_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence/blob/79ce062d54a924ce05953ec90aa9d26044d2b48f/evidence/section_08_evidence_package.json", "effect_size": "Laminar origin/termination + cell-type selectivity defines functionally distinct inter-areal computations.", "review_repo": "ComputationalReviewRecurrence", "section_ref": "wiki_page:computationalreviewrecurrence-08-cross-areal", "source_kind": "review_finding", "source_path": "evidence/section_08_evidence_package.json", "source_refs": [ "paper:paper-5a41665f7011" ], "source_span": "By originating and terminating in different laminae, and by selectively targeting specific populations of excitatory and inhibitory neurons, these 'inter-areal' pathways are configured to perform distinct computations.", "study_system": "Review; mouse + primate cortico-cortical anatomy.", "evidence_refs": [ { "ref": "paper:paper-5a41665f7011" } ], "section_title": "8. Cross-areal mouse cortico-cortical excitatory connectivity — hierarchical feedforward and feedback as recurrent loops at the network level; Allen Mouse Connectivity Atlas anchored views", "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": "Synthesis of laminar mapping and CRACM-style circuit-mapping studies of cortico-cortical pathways across mouse and primate cortex.", "review_bundle_ref": "analysis_bundle:ab-d9c479db9be9", "replication_status": "replicated", "review_package_ref": "analysis_bundle:ab-d9c479db9be9", "source_artifact_ref": "wiki_page:computationalreviewrecurrence-08-cross-areal", "origin_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence/blob/79ce062d54a924ce05953ec90aa9d26044d2b48f/evidence/section_08_evidence_package.json", "commit_sha": "79ce062d54a924ce05953ec90aa9d26044d2b48f", "created_by": "persona-jerome-lecoq-gbo-neuroscience", "repository_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence" }