Details
- scope
- review of neocortical interneuron diversity
- claim_text
- GABAergic interneuron diversity increases computational power of cortical circuits; multiple cell types with specific properties play crucial roles in diversifying circuit motifs forming cortical networks
- section_id
- section_10_evidence_package
- source_url
- https://github.com/AllenNeuralDynamics/ComputationalReviewPV/blob/df9fc7e8d455b084152c9d713558dae0013cef21/evidence/section_10_evidence_package.json
- review_repo
- ComputationalReviewPV
- section_ref
- wiki_page:computationalreviewpv-10
- source_kind
- review_finding
- source_path
- evidence/section_10_evidence_package.json
- source_span
- We illustrate how recent advances in the field have shed light onto the mechanisms by which GABAergic inhibition contributes to network operations.
- study_system
- review of neocortical interneuron diversity
- section_title
- Oscillations and Network Dynamics: Gamma, Ripples, and Synchrony
- evidence_summary
- GABAergic interneuron diversity increases computational power of cortical circuits; multiple cell types with specific properties play crucial roles in diversifying circuit motifs forming cortical networks
- review_bundle_ref
- analysis_bundle:ab-e6261c8263e7
- replication_status
- independently_replicated
- review_package_ref
- analysis_bundle:ab-e6261c8263e7
- source_artifact_ref
- wiki_page:computationalreviewpv-10
- origin_url
- https://github.com/AllenNeuralDynamics/ComputationalReviewPV/blob/df9fc7e8d455b084152c9d713558dae0013cef21/evidence/section_10_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": "10.1016/j.neuron.2016.06.033", "claim": "GABAergic interneuron diversity increases computational power of cortical circuits; multiple cell types with specific properties play crucial roles in diversifying circuit motifs forming cortical networks", "evidence": "GABAergic interneuron diversity increases computational power of cortical circuits; multiple cell types with specific properties play crucial roles in diversifying circuit motifs forming cortical networks", "effect_size": null, "text_access": "fulltext", "study_system": "review of neocortical interneuron diversity", "replication_status": "independently_replicated", "claim_source_sentence": "We illustrate how recent advances in the field have shed light onto the mechanisms by which GABAergic inhibition contributes to network operations.", "replication_evidence_dois": [ "10.1152/physrev.00007.2017" ], "effect_size_source_sentence": null }- source_refs
[ "paper:paper-53c8505de50f" ]
- evidence_refs
[ { "ref": "paper:paper-53c8505de50f" } ]- 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" }