How independent are parallel memory systems? A theoretical comment on Gibson and Shettleworth (2005).
Bibliographic record
Abstract
Using only behavioral manipulations, B. M. Gibson and S. J. Shettleworth (2005) have shown that rats can simultaneously acquire both place and response information. Experiments in which these 2 kinds of information are presented sequentially (response followed by place), provide some evidence for blocking of place learning, suggesting an influence of information acquired by a response-learning system on the subsequent acquisition of information by a place-learning system. A detailed examination of the results in the context of information about the kinds of learning that take place on a maze suggests that the memory processes underlying the rats' behavior in this experiment were considerably more complex than is acknowledged by Gibson and Shettleworth. The discussion illustrates the importance of considering both behavioral and physiological information for understanding how learning and memory functions are organized in the brain.
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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 | 0.005 | 0.013 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.011 |
| Scholarly communication | 0.003 | 0.011 |
| Open science | 0.008 | 0.003 |
| Research integrity | 0.027 | 0.035 |
| Insufficient payload (model declined to judge) | 0.008 | 0.011 |
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".