Past Experience Modulates the Neural Mechanisms of Episodic Memory Formation
Bibliographic record
Abstract
Neuroscientists have observed the "birth" of memories, but have not explored how an organism's past experience with materials interacts with the neural mechanisms of episodic memory formation. Using functional neuroimaging, we searched for such an interaction by examining brain activity during memory encoding that predicted participants' subsequent episodic memory for novel and repeated scenes. Memory for both scene types was predicted by a common posterior network in occipital and parietal cortices. Medial temporal memory predictors were modulated by scene repetition: the right anterior hippocampus and right amygdala predicted memory for novel scenes only, whereas posterior hippocampi predicted memory for repeated scenes only. There was also greater functional connectivity between the temporal pole and anterior versus posterior hippocampus, and this link predicted memory for novel but not repeated scenes. In contrast, there was greater functional connectivity between the precuneus and posterior versus anterior hippocampus, and this link predicted memory for repeated but not novel scenes. Together, these results reveal a functional specialization within the hippocampus for the encoding of novel and previously experienced materials, and suggest that the topography of this specialization might be related to local variations in connectivity. Because episodic memory for repeated scenes was superior, our results also support traditional views of encoding emphasizing the role of prior representations, and illuminate one way in which humans use existing memories to help form new ones. In so doing, our results challenge recent novelty-encoding hypotheses.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".