A Bridge Over Troubled Water: Reconsolidation as a Link Between Cognitive and Neuroscientific Memory Research Traditions
Bibliographic record
Abstract
There are two research traditions on dynamic memory processes. In cognitive psychology, the malleable nature of long-term memory has been extensively documented. Distortions, such as the misinformation effect or hindsight bias, illustrate that memories can be easily changed, often without their owner taking notice. On the other hand, effects like hypermnesia demonstrate that memory might be more reliable than these distortions suggest. In the neuroscience field, similar observations were obtained mostly from animal studies. Research on memory consolidation suggested that memories become progressively resistant to amnesic treatments over time, but the reconsolidation phenomenon showed that this stability can be transiently lifted when these memories are reactivated, i.e., retrieved. Surprisingly, both research traditions have not taken much notice of each others' advances in understanding memory dynamics. We apply concepts developed in neuroscience to phenomena revealed in cognitive psychology to illustrate how these twins separated at birth may be reunited 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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.001 | 0.004 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 0.002 |
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".