Older and stronger object memories are selectively destabilized by reactivation in the presence of new information
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Reactivation can destabilize previously consolidated memories, rendering them vulnerable to disruption and necessitating a process of reconsolidation in order for them to be maintained. This process of destabilization and reconsolidation has commonly been cited as a means by which established memories can be updated or modified. However, little direct evidence exists to support this view. The present study addressed this issue by analyzing the influence of novel salient information present at the time of memory reactivation on the likelihood of the reactivated memory to become destabilized and vulnerable to disruption. Rats explored sample objects and, some time later, received systemic injections of the N-methyl-D-aspartic acid (NMDA) receptor antagonist MK-801 or saline prior to memory reactivation. When object memories were relatively young or weakly encoded, MK-801 significantly disrupted reconsolidation regardless of the reactivation conditions. However, increasing the amount of sample object exploration or the interval between the sample phase and reactivation abolished the effect of MK-801 on reconsolidation unless salient novel contextual information was present during memory reactivation. These results highlight the dynamic nature of memory storage and retrieval and indicate an important interaction between the age and strength of a memory, its probability of being destabilized upon reactivation, and the stimulus conditions during reactivation. The essential involvement of novel encoding in destabilizing certain memories supports the idea that the reconsolidation process enables modification of existing memories.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| 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 it