- raw_fields
{
"n": null,
"doi": "10.1088/1741-2552/ade569",
"claim": "Cross-population linear dynamical models trained with a prioritized objective can isolate cross-region motor-cortex interactions from within-region dynamics during a naturalistic task.",
"cite_key": "Jha2025",
"evidence": "CroP-LDM benchmarked against static and dynamic latent-variable methods on bilateral motor + premotor cortical data.",
"effect_size": null,
"text_access": "abstract_only",
"study_system": "Bilateral motor and premotor cortex during naturalistic movement",
"argument_role": "supporting",
"replication_status": "replication_unknown",
"claim_source_sentence": "Second, using multi-regional bilateral motor and premotor cortical recordings during a naturalistic movement task, we demonstrate that CroP-LDM better learns cross-population dynamics compared to recent static and dynamic methods, even when using a low dimensionality.",
"source_provenance_status": "non_substring_match",
"replication_evidence_dois": [],
"effect_size_source_sentence": null
}- source_refs
[
"paper:paper-c7edae965800"
]
- source_span
Second, using multi-regional bilateral motor and premotor cortical recordings during a naturalistic movement task, we demonstrate that CroP-LDM better learns cross-population dynamics compared to recent static and dynamic methods, even when using a low dimensionality.
- evidence_refs
[
{
"ref": "paper:paper-c7edae965800"
}
]- 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"
}