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
a2151912acf4Content snapshot
{ "scope": "mouse; V1, visual cortex; two-photon imaging, optogenetics, computational model; Proceedings of the National Academy of Sciences of the United States of America", "claim_text": "Analysis reveals the structure of connectivity implied by various features of single-cell perturbation responses, such as the surprisingly narrow spatial radius of nearby excitation beyond which inhi…", "raw_fields": { "n": null, "doi": "10.1073/pnas.2426758122", "claim": "Analysis reveals the structure of connectivity implied by various features of single-cell perturbation responses, such as the surprisingly narrow spatial radius of nearby excitation beyond which inhi…", "cite_key": "Chau2025", "evidence": "What are the principles that govern the responses of cortical networks to their inputs and the emergence of these responses from recurrent connectivity? Recent experiments have probed these questions by measuring cortical responses to two-photon optogenetic perturbations of single cells in the mouse primary visual cortex. A robust theoretical framework is needed to determine the implications of these responses for cortical recurrence. Here, we propose a formulation of the dependence of cell-type...", "effect_size": "To test the robustness of our findings, we relax these assumptions and fit models so that the mix of 85% excitatory and 15% inhibitory cells match the perturbation response from ref., both as a function of distance and as a function of orientation tuning preference.", "text_access": "fulltext", "study_system": "mouse; V1, visual cortex; two-photon imaging, optogenetics, computational model; Proceedings of the National Academy of Sciences of the United States of America", "argument_role": "supporting", "replication_status": "single_study", "claim_source_sentence": "Analysis reveals the structure of connectivity implied by various features of single-cell perturbation responses, such as the surprisingly narrow spatial radius of nearby excitation beyond which inhibition dominates, the number of transitions between mean excitation and inhibition thereafter, and the dependence of these responses on feature preferences.", "source_provenance_status": "ok", "replication_evidence_dois": [], "claim_rewritten_from_source": true, "effect_size_source_sentence": "To test the robustness of our findings, we relax these assumptions and fit models so that the mix of 85% excitatory and 15% inhibitory cells match the perturbation response from ref., both as a function of distance and as a function of orientation tuning preference." }, "section_id": "section_09", "source_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence/blob/79ce062d54a924ce05953ec90aa9d26044d2b48f/evidence/section_09_evidence_package.json", "effect_size": "To test the robustness of our findings, we relax these assumptions and fit models so that the mix of 85% excitatory and 15% inhibitory cells match the perturbation response from ref., both as a function of distance and as a function of orientation tuning preference.", "review_repo": "ComputationalReviewRecurrence", "section_ref": "wiki_page:computationalreviewrecurrence-09-amplification-isn", "source_kind": "review_finding", "source_path": "evidence/section_09_evidence_package.json", "source_refs": [ "paper:paper-07c82e3d34e3" ], "source_span": "Analysis reveals the structure of connectivity implied by various features of single-cell perturbation responses, such as the surprisingly narrow spatial radius of nearby excitation beyond which inhibition dominates, the number of transitions between mean excitation and inhibition thereafter, and the dependence of these responses on feature preferences.", "study_system": "mouse; V1, visual cortex; two-photon imaging, optogenetics, computational model; Proceedings of the National Academy of Sciences of the United States of America", "evidence_refs": [ { "ref": "paper:paper-07c82e3d34e3" } ], "section_title": "9. Physiological signature I — recurrent amplification of weak inputs in mouse cortex; balanced-amplification regimes; ISN operation", "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": "What are the principles that govern the responses of cortical networks to their inputs and the emergence of these responses from recurrent connectivity? Recent experiments have probed these questions by measuring cortical responses to two-photon optogenetic perturbations of single cells in the mouse primary visual cortex. A robust theoretical framework is needed to determine the implications of these responses for cortical recurrence. Here, we propose a formulation of the dependence of cell-type...", "review_bundle_ref": "analysis_bundle:ab-d9c479db9be9", "replication_status": "single_study", "review_package_ref": "analysis_bundle:ab-d9c479db9be9", "source_artifact_ref": "wiki_page:computationalreviewrecurrence-09-amplification-isn", "origin_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence/blob/79ce062d54a924ce05953ec90aa9d26044d2b48f/evidence/section_09_evidence_package.json", "commit_sha": "79ce062d54a924ce05953ec90aa9d26044d2b48f", "created_by": "persona-jerome-lecoq-gbo-neuroscience", "repository_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence" }