- claim_text
Cross-frequency coupling serves as a mechanism to transfer information from large-scale brain networks operating at behavioral timescales to fast local cortical processing, integrating functional systems across multiple spatiotemporal scales
- raw_fields
{
"n": 0,
"doi": "10.1016/j.tics.2010.09.001",
"claim": "Cross-frequency coupling serves as a mechanism to transfer information from large-scale brain networks operating at behavioral timescales to fast local cortical processing, integrating functional systems across multiple spatiotemporal scales",
"evidence": "Cross-frequency coupling serves as a mechanism to transfer information from large-scale brain networks operating at behavioral timescales to fast local cortical processing, integrating functional systems across multiple spatiotemporal scales",
"effect_size": null,
"text_access": "fulltext",
"study_system": "review of human and rodent neurophysiology",
"replication_status": "replication_unknown",
"claim_source_sentence": "CFC may thus serve as a mechanism to transfer information from large-scale brain networks operating at behavioral timescales to the fast, local cortical processing required for effective computation and synaptic modification.",
"replication_evidence_dois": [],
"effect_size_source_sentence": null
}- source_refs
[
"paper:paper-a63c233666ca"
]
- evidence_refs
[
{
"ref": "paper:paper-a63c233666ca"
}
]- 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
Cross-frequency coupling serves as a mechanism to transfer information from large-scale brain networks operating at behavioral timescales to fast local cortical processing, integrating functional systems across multiple spatiotemporal scales