- claim_text
Hierarchical reinforcement-learning model implements option/subgoal selection in cortico-striatal circuits, providing a computational account of multilevel control. (Mechanisms of hierarchical reinforcement learning in corticostriatal circuits 1: computational analysis, 2012).
- raw_fields
{
"n": 0,
"doi": "10.1093/cercor/bhr114",
"claim": "Hierarchical reinforcement-learning model implements option/subgoal selection in cortico-striatal circuits, providing a computational account of multilevel control. (Mechanisms of hierarchical reinforcement learning in corticostriatal circuits 1: computational analysis, 2012).",
"cite_key": "Frank2011",
"evidence": "Cerebral cortex (New York, N.Y. : 1991) (2012); EPMC abstract/fulltext.",
"effect_size": null,
"text_access": "abstract_only",
"study_system": "humans + computational model",
"source_cluster_id": "cluster_12",
"replication_status": "replication_unknown",
"claim_source_sentence": "This 2-pronged modeling approach leads to multiple quantitative predictions that are tested with functional magnetic resonance imaging in the companion paper.",
"replication_evidence_dois": [],
"effect_size_source_sentence": null
}- source_refs
[
"paper:paper-7984bded7e97"
]
- evidence_refs
[
{
"ref": "paper:paper-7984bded7e97"
}
]- 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": "0632aae8abc141909207fe91f6349b9e36489c3b",
"source_repository_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewLoops"
}