The effects of a cholinergic deficit on visual learning in rats
Bibliographic record
Abstract
The cholinergic system participates in the continual reorganization of the cortical sensory map. During patterned visual stimulation, acetylcholine is released in the primary visual cortex (V1) and a deficit of this neurotransmitter diminishes neuronal activity of this area. Here, we evaluated if an acetylcholine deficit affects perceptual learning capacity of rats performing a visual discrimination task. Rats were trained in a visual water maze to determine visual acuity (Prusky et al., 2000). Subjects were then divided into two groups whereby one group received intra-ventricular injections of 192 IgG-saporin in order to lesion the cholinergic fibers and a sham lesion group. After 21 days post-surgery, rats were tested for recall of the visual acuity task and learned an orientation task modified to the water maze. In the orientation task, animals learned to discriminate between a 90° stimulus (reference pattern) and one that varied between 45° and 90°. An 80% success rate was used to define successful learning of the task. Immunostaining of cholinergic fibres in V1 and basal forebrain showed a complete loss of cholinergic innervation of V1. The visual acuity of the lesioned and the sham-operated rats did not differ from pre-surgery levels. The ability of the lesioned group to learn the orientation task was significantly lower than the sham-operated group (p=0.015). More trials were necessary for the lesioned group to be able to discriminate between a 75° vs 90° pattern compared to control animals (73 ± 8 and 42 ± 6, respectively). These results suggest that a deficit in acetylcholine may cause a deficit in visual learning.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".