Probabilistic value learning in medial temporal lobe amnesia
Bibliographic record
Abstract
A prevailing view in cognitive neuroscience suggests that different forms of learning are mediated by dissociable memory systems, with a mesolimbic (i.e., midbrain and basal ganglia) system supporting incremental trial-and-error reinforcement learning and a hippocampal-based system supporting episodic memory. Yet, growing evidence suggests that the hippocampus may also be important for trial-and-error learning, particularly value or reward-based learning. In the present report, we use a lesion-based neuropsychological approach to clarify hippocampal contributions to such learning. Six amnesic patients with medial temporal lobe damage and a group of healthy controls were administered a simple value-based learning task involving probabilistic trial-and-error acquisition of stimulus-response-outcome (reward or none) contingencies modeled after Li et al. (Proceedings of the National Academy of Sciences , 2011, 108 (1), 55-60). As predicted, patients were significantly impaired on the task, demonstrating reduced learning of the contingencies. Our results provide further supportive evidence that the hippocampus' role in cognition extends beyond episodic memory tasks and call for further refinement of theoretical models of hippocampal functioning.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".