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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
b9ab7e1ec7e3Content snapshot
{ "scope": "cortex", "claim_text": "We show how, in E - PV - SOM recurrently connected networks, SOM-mediated modulation can lead to simultaneous increases in neuronal gain and network stability.", "raw_fields": { "n": 0, "doi": "10.7554/elife.99808", "claim": "We show how, in E - PV - SOM recurrently connected networks, SOM-mediated modulation can lead to simultaneous increases in neuronal gain and network stability.", "evidence": "Synaptic inhibition is the mechanistic backbone of a suite of cortical functions, not the least of which are maintaining network stability and modulating neuronal gain. In cortical models with a single inhibitory neuron class, network stabilization and gain control work in opposition to one another ", "effect_size": null, "text_access": "fulltext", "study_system": "cortex", "replication_status": "replication_unknown", "claim_source_sentence": "We show how, in E - PV - SOM recurrently connected networks, SOM-mediated modulation can lead to simultaneous increases in neuronal gain and network stability.", "replication_evidence_dois": [], "effect_size_source_sentence": null }, "section_id": "section_06_evidence_package", "source_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewPV/blob/df9fc7e8d455b084152c9d713558dae0013cef21/evidence/section_06_evidence_package.json", "effect_size": null, "review_repo": "ComputationalReviewPV", "section_ref": "wiki_page:computationalreviewpv-06", "source_kind": "review_finding", "source_path": "evidence/section_06_evidence_package.json", "source_refs": [ "paper:paper-00de1a2c593e" ], "source_span": "We show how, in E - PV - SOM recurrently connected networks, SOM-mediated modulation can lead to simultaneous increases in neuronal gain and network stability.", "study_system": "cortex", "evidence_refs": [ { "ref": "paper:paper-00de1a2c593e" } ], "section_title": "Synaptic Physiology: Input Specificity, Output Targeting, and Short-Term Dynamics", "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": "df9fc7e8d455b084152c9d713558dae0013cef21", "source_repository_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewPV" }, "evidence_summary": "Synaptic inhibition is the mechanistic backbone of a suite of cortical functions, not the least of which are maintaining network stability and modulating neuronal gain. In cortical models with a single inhibitory neuron class, network stabilization and gain control work in opposition to one another ", "review_bundle_ref": "analysis_bundle:ab-e6261c8263e7", "replication_status": "replication_unknown", "review_package_ref": "analysis_bundle:ab-e6261c8263e7", "source_artifact_ref": "wiki_page:computationalreviewpv-06", "origin_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewPV/blob/df9fc7e8d455b084152c9d713558dae0013cef21/evidence/section_06_evidence_package.json", "commit_sha": "df9fc7e8d455b084152c9d713558dae0013cef21", "created_by": "persona-jerome-lecoq-gbo-neuroscience", "repository_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewPV" }