Details
- scope
- computational model of fast-spiking interneuron network
- claim_text
- GABAergic interneuron networks can generate synchronized gamma oscillations (20-80 Hz) via mutual inhibition alone (ING model); synchronization requires a critical minimal number of synaptic contacts per cell independent of network size
- section_id
- section_10_evidence_package
- source_url
- https://github.com/AllenNeuralDynamics/ComputationalReviewPV/blob/df9fc7e8d455b084152c9d713558dae0013cef21/evidence/section_10_evidence_package.json
- effect_size
- Network synchronization high only within gamma (20-80 Hz) range regardless of parameter variation
- review_repo
- ComputationalReviewPV
- section_ref
- wiki_page:computationalreviewpv-10
- source_kind
- review_finding
- source_path
- evidence/section_10_evidence_package.json
- source_span
- We conclude that the GABAA synaptic transmission provides a suitable mechanism for synchronized gamma oscillations in a sparsely connected network of fast-spiking interneurons.
- study_system
- computational model of fast-spiking interneuron network
- section_title
- Oscillations and Network Dynamics: Gamma, Ripples, and Synchrony
- evidence_summary
- GABAergic interneuron networks can generate synchronized gamma oscillations (20-80 Hz) via mutual inhibition alone (ING model); synchronization requires a critical minimal number of synaptic contacts per cell independent of network size
- 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": "10.1523/jneurosci.16-20-06402.1996", "claim": "GABAergic interneuron networks can generate synchronized gamma oscillations (20-80 Hz) via mutual inhibition alone (ING model); synchronization requires a critical minimal number of synaptic contacts per cell independent of network size", "evidence": "GABAergic interneuron networks can generate synchronized gamma oscillations (20-80 Hz) via mutual inhibition alone (ING model); synchronization requires a critical minimal number of synaptic contacts per cell independent of network size", "effect_size": "Network synchronization high only within gamma (20-80 Hz) range regardless of parameter variation", "text_access": "abstract_only", "study_system": "computational model of fast-spiking interneuron network", "replication_status": "independently_replicated", "claim_source_sentence": "We conclude that the GABAA synaptic transmission provides a suitable mechanism for synchronized gamma oscillations in a sparsely connected network of fast-spiking interneurons.", "replication_evidence_dois": [ "10.1073/pnas.192233099", "10.1146/annurev-neuro-062111-150444" ], "effect_size_source_sentence": "By contrast, the network synchronization was found to be high only within a frequency band coinciding with the gamma (20-80 Hz) range." }- source_refs
[ "paper:paper-2121ae875540" ]
- evidence_refs
[ { "ref": "paper:paper-2121ae875540" } ]- 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" }