- claim_text
In monkey PFC during probabilistic reversal learning, a subspace encoding reversal probability shows reward-outcome integration consistent with a line-attractor model, with trial-start activity acting as a stable initial condition for non-stationary trial dynamics.
- raw_fields
{
"n": 0,
"doi": "10.7554/elife.103660",
"claim": "In monkey PFC during probabilistic reversal learning, a subspace encoding reversal probability shows reward-outcome integration consistent with a line-attractor model, with trial-start activity acting as a stable initial condition for non-stationary trial dynamics.",
"cite_key": "Kim2025b",
"evidence": "Analysis of monkey PFC recordings and trained RNNs on a probabilistic reversal-learning task; subspace dynamics fit a line attractor at trial start, with predictive modeling of non-stationary dynamics.",
"effect_size": "qualitative",
"text_access": "abstract_only",
"study_system": "monkey prefrontal cortex recordings + recurrent neural network models",
"argument_role": "supporting",
"replication_status": "replication_unknown",
"claim_source_sentence": "We found that in a neural subspace encoding reversal probability, its activity represented integration of reward outcomes as in a line attractor model.",
"source_provenance_status": "non_substring_match",
"replication_evidence_dois": [],
"effect_size_source_sentence": null
}- source_refs
[
"paper:paper-bd6ab3ad8754"
]
- evidence_refs
[
{
"ref": "paper:paper-bd6ab3ad8754"
}
]- 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"
}