Rats' (Rattus norvegicus) Encoding and Retrieval of Spatial and Non-Spatial Environmental Features in a Foraging Task
Bibliographic record
Abstract
Animals use various spatial and non-spatial cues when navigating the environment. They can use spatial cues such as a landmark's local position, global position and orientation, or they can use a landmark's non-spatial featural information. The objectives of this thesis were: 1) to determine the conditions under which rats process information separately or simultaneously; 2) to determine how rats process stimuli when previously fixed information becomes more variable; 3) to determine whether animals can use spatial information when a previously encoded non-spatial cue is occasionally eliminated. The results obtained from this research suggest that rats use two different types of processing as a function of variability of redundant information. Moreover, changes within trials were only disruptive for animals that encountered information that had not varied between trials. However, with continued exposure to within-trial changes, these animals' accuracy increased to levels comparable to animals presented with information that varied between trials.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".