- claim_text
In a computational model of mouse V1 layer 2/3 reproducing connectivity and electrophysiology, ensembles' pattern-completion capability correlates with graph-theoretic centrality metrics (degree, closeness) — providing a principled criterion for identifying pattern-completion neurons.
- raw_fields
{
"n": null,
"doi": "10.1371/journal.pcbi.1011167",
"claim": "In a computational model of mouse V1 layer 2/3 reproducing connectivity and electrophysiology, ensembles' pattern-completion capability correlates with graph-theoretic centrality metrics (degree, closeness) — providing a principled criterion for identifying pattern-completion neurons.",
"cite_key": "Baker2023",
"evidence": "Biophysically constrained network model of mouse V1 L2/3; in silico ensemble pair stimulations.",
"effect_size": null,
"text_access": "abstract_only",
"study_system": "computational model of mouse V1 L2/3",
"argument_role": "supporting",
"replication_status": "single_study",
"claim_source_sentence": "We found that PCC was directly correlated with multiple graph theory parameters, such as degree and closeness centrality.",
"source_provenance_status": "non_substring_match",
"replication_evidence_dois": [],
"effect_size_source_sentence": null
}- source_refs
[
"paper:paper-b24f32e711ac"
]
- evidence_refs
[
{
"ref": "paper:paper-b24f32e711ac"
}
]- 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"
}