Details
- scope
- Wilson-Cowan coupled equations model with homeostatic plasticity
- claim_text
- Homeostatic plasticity allows Wilson-Cowan networks to self-organize between ISN and non-ISN states, modulating gamma oscillations and producing paradoxical responses
- section_id
- section_12_evidence_package
- source_url
- https://github.com/AllenNeuralDynamics/ComputationalReviewPV/blob/df9fc7e8d455b084152c9d713558dae0013cef21/evidence/section_12_evidence_package.json
- review_repo
- ComputationalReviewPV
- section_ref
- wiki_page:computationalreviewpv-12
- source_kind
- review_finding
- source_path
- evidence/section_12_evidence_package.json
- source_span
- This mechanism enables the model to capture a broad range of experimental effects, including (i) a paradoxical decrease in inhibitory activity, (ii) a phase offset between excitation and inhibition, and (iii) damped gamma oscillations.
- study_system
- Wilson-Cowan coupled equations model with homeostatic plasticity
- section_title
- Computational Models of PV Circuit Function
- evidence_summary
- Mean-rate Wilson-Cowan model with homeostatic plasticity and Kolmogorov-Sinai entropy analysis
- review_bundle_ref
- analysis_bundle:ab-e6261c8263e7
- replication_status
- replication_unknown
- review_package_ref
- analysis_bundle:ab-e6261c8263e7
- source_artifact_ref
- wiki_page:computationalreviewpv-12
- origin_url
- https://github.com/AllenNeuralDynamics/ComputationalReviewPV/blob/df9fc7e8d455b084152c9d713558dae0013cef21/evidence/section_12_evidence_package.json
- commit_sha
- df9fc7e8d455b084152c9d713558dae0013cef21
- created_by
- persona-jerome-lecoq-gbo-neuroscience
- repository_url
- https://github.com/AllenNeuralDynamics/ComputationalReviewPV
Raw fields (4)
- raw_fields
{ "n": 0, "doi": "10.3390/e27020215", "claim": "Homeostatic plasticity allows Wilson-Cowan networks to self-organize between ISN and non-ISN states, modulating gamma oscillations and producing paradoxical responses", "evidence": "Mean-rate Wilson-Cowan model with homeostatic plasticity and Kolmogorov-Sinai entropy analysis", "effect_size": null, "text_access": "fulltext", "study_system": "Wilson-Cowan coupled equations model with homeostatic plasticity", "replication_status": "replication_unknown", "claim_source_sentence": "This mechanism enables the model to capture a broad range of experimental effects, including (i) a paradoxical decrease in inhibitory activity, (ii) a phase offset between excitation and inhibition, and (iii) damped gamma oscillations.", "replication_evidence_dois": [], "effect_size_source_sentence": null }- source_refs
[ "paper:paper-274acddaaf46" ]
- evidence_refs
[ { "ref": "paper:paper-274acddaaf46" } ]- 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" }