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- Live5/17/2026, 4:35:28 PM
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{ "scope": "Cortical network model — theoretical analysis applicable to mouse cortex circuits", "claim_text": "Local imbalance between excitation and inhibition in recurrent cortical networks gives rise to a distinct amplification mechanism ('imbalanced amplification') that produces purely excitatory or purely inhibitory population responses to stimuli, complementing balanced amplification as a recurrent-network mechanism.", "raw_fields": { "n": 0, "doi": "10.1371/journal.pcbi.1006048", "claim": "Local imbalance between excitation and inhibition in recurrent cortical networks gives rise to a distinct amplification mechanism ('imbalanced amplification') that produces purely excitatory or purely inhibitory population responses to stimuli, complementing balanced amplification as a recurrent-network mechanism.", "cite_key": "Ebsch2018", "evidence": "Mean-field analysis of balanced spiking E-I networks with finite-size correction; demonstrates the mechanism in models of orientation tuning and surround suppression in cortex.", "effect_size": "qualitative — analytic finite-size correction to mean-field balance", "text_access": "fulltext", "study_system": "Cortical network model — theoretical analysis applicable to mouse cortex circuits", "argument_role": "supporting", "replication_status": "within_lab", "claim_source_sentence": "We show that cortical circuits with structure that is incompatible with balance are susceptible to an amplification mechanism arising when excitatory-inhibitory balance is broken at the level of local subpopulations, but maintained at a global level.", "source_provenance_status": "ok", "replication_evidence_dois": [], "effect_size_source_sentence": null }, "section_id": "section_09", "source_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence/blob/79ce062d54a924ce05953ec90aa9d26044d2b48f/evidence/section_09_evidence_package.json", "effect_size": "qualitative — analytic finite-size correction to mean-field balance", "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-b08395331756" ], "source_span": "We show that cortical circuits with structure that is incompatible with balance are susceptible to an amplification mechanism arising when excitatory-inhibitory balance is broken at the level of local subpopulations, but maintained at a global level.", "study_system": "Cortical network model — theoretical analysis applicable to mouse cortex circuits", "evidence_refs": [ { "ref": "paper:paper-b08395331756" } ], "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": "Mean-field analysis of balanced spiking E-I networks with finite-size correction; demonstrates the mechanism in models of orientation tuning and surround suppression in cortex.", "review_bundle_ref": "analysis_bundle:ab-d9c479db9be9", "replication_status": "within_lab", "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" }