Memory for Time of Day (Time Memory) Is Encoded by a Circadian Oscillator and Is Distinct From Other Context Memories
Bibliographic record
Abstract
We report that the neural representation of the time of day (time memory) in golden hamsters involves the setting of a 24-h oscillator that is functionally and anatomically distinct from the circadian clock in the suprachiasmatic nucleus (SCN), but is entrained by the SCN acting as a weak zeitgeber. In hamsters, peak conditioned place avoidance (CPA) was expressed only near the time of day of the learning experience (± 2 h) for the first days after conditioning. On a 14:10 light:dark cycle, with conditioning at the end of the light period (zeitgeber time 11 [ZT11]), CPA behavior, including time of day memory, was retained for more than 18 d. With conditioning in the early day (zeitgeber time 03 [ZT03]), CPA was completely lost after 5 d but reemerged after an additional 6 d, with the peak avoidance time shifted to ZT11. When the entraining light cycle was shifted immediately following learning at either ZT11 or ZT03, with no additional experience in the training apparatus, peak CPA 18 d later was always found at ZT11 on the shifted light cycles. When conditioned at ZT03, then placed into constant dark for 18 cycles, the peak shifted to subjective circadian time 11 (CT11). In all experiments, the peak CPA time was set initially to the time of experience, and was reset subsequently to the end of the subjective day, without memory loss for other context associations. In the absence of an SCN, peak avoidance was not reset. Therefore, time memory is distinct from other context memories, and involves the setting of a non-SCN circadian oscillator. We suggest that circadian oscillators underlying time memory work in concert with the SCN to enable anticipation of critical conditions according to both immediate- and long-term probabilities of where and when important conditions could be encountered again.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| 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) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".