- claim_text
In a probabilistic reversal-learning task, prefrontal-cortex population activity (monkey) and matched recurrent-neural-network models encode reversal probability in a stable, stationary state consistent with a line-attractor model, then transition during the trial into separable non-stationary trajectories — a synthesis result that anchors line-attractor accounts of recurrent cortical computation but is derived from primate, not mouse cortex.
- raw_fields
{
"n": 0,
"doi": "10.7554/elife.103660",
"claim": "In a probabilistic reversal-learning task, prefrontal-cortex population activity (monkey) and matched recurrent-neural-network models encode reversal probability in a stable, stationary state consistent with a line-attractor model, then transition during the trial into separable non-stationary trajectories — a synthesis result that anchors line-attractor accounts of recurrent cortical computation but is derived from primate, not mouse cortex.",
"cite_key": "Kim2025b",
"evidence": "Monkey PFC recordings + RNN match; perturbation of reversal-probability subspace in RNN biased choices — functional significance.",
"effect_size": "stationary line-attractor state at trial start; separable non-stationary trajectories during trial",
"text_access": "fulltext",
"study_system": "Monkey PFC + RNNs (cross-species synthesis)",
"argument_role": "supporting",
"replication_status": "cross-species-theory-data",
"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. The reversal probability activity at the start of a trial was stationary, stable, and consistent with the attractor dynamics.",
"source_provenance_status": "ok",
"replication_evidence_dois": [],
"effect_size_source_sentence": "The reversal probability activity at the start of a trial was stationary, stable, and consistent with the attractor dynamics."
}- source_refs
[
"paper:paper-bd6ab3ad8754"
]
- source_span
We found that in a neural subspace encoding reversal probability, its activity represented integration of reward outcomes as in a line attractor model. The reversal probability activity at the start of a trial was stationary, stable, and consistent with the attractor dynamics.
- 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"
}