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- Live5/17/2026, 4:35:28 PM
9b83fb50ad4fContent snapshot
{ "scope": "mouse V1 and higher visual areas, optogenetic input mapping", "claim_text": "Across feedforward and feedback pathways interconnecting mouse V1 and two higher visual areas, the inhibition/excitation ratio recruited onto pyramidal versus PV+ neurons in L2/3 scales down gradually from the most feedforward to the most feedback pathway, indicating that interareal gain control depends on hierarchical position and direction of information flow.", "raw_fields": { "n": null, "doi": "10.7554/elife.19332", "claim": "Across feedforward and feedback pathways interconnecting mouse V1 and two higher visual areas, the inhibition/excitation ratio recruited onto pyramidal versus PV+ neurons in L2/3 scales down gradually from the most feedforward to the most feedback pathway, indicating that interareal gain control depends on hierarchical position and direction of information flow.", "cite_key": "DSouza2016", "evidence": "Optogenetic input mapping to L2/3 pyramidal and PV+ neurons across feedforward and feedback pathways between mouse V1 and higher visual areas.", "effect_size": null, "text_access": "abstract_only", "study_system": "mouse V1 and higher visual areas, optogenetic input mapping", "argument_role": "supporting", "replication_status": "replication_unknown", "claim_source_sentence": "While interareal excitation was stronger in PV than in pyramidal neurons in all layer 2/3 pathways, we observed a gradual scaling down of the inhibition/excitation ratio from the most feedforward to the most feedback pathway. Our results indicate that interareal gain control depends on the hierarchical position of the source and the target, the direction of information flow through the network, and the laminar location of target neurons.", "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-c0b096c22b35" ], "source_span": "While interareal excitation was stronger in PV than in pyramidal neurons in all layer 2/3 pathways, we observed a gradual scaling down of the inhibition/excitation ratio from the most feedforward to the most feedback pathway. Our results indicate that interareal gain control depends on the hierarchical position of the source and the target, the direction of information flow through the network, and the laminar locat...", "study_system": "mouse V1 and higher visual areas, optogenetic input mapping", "evidence_refs": [ { "ref": "paper:paper-c0b096c22b35" } ], "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": "Optogenetic input mapping to L2/3 pyramidal and PV+ neurons across feedforward and feedback pathways between mouse V1 and higher visual areas.", "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" }