The effects of aging on GABAergic mechanisms and their influence on visual perception
Bibliographic record
Abstract
The functional properties of visual mechanisms, such as the tuning properties of visual cortical neurons, are thought to emerge from an interaction among excitatory and inhibitory neural mechanisms. Hence, changing the balance between excitation and inhibition should lead, at least in some cases, to measurable changes in these mechanisms and, presumably, visual perception. Recent evidence suggests that aging is associated with changes in GABAergic signaling (Leventhal et al., 2003; Pinto et al., 2010), however it remains unclear how these changes manifest themselves in performance in psychophysical tasks. Specifically, some psychophysical studies (Betts et al., 2005; Wilson et al., 2011), but not all, are consistent with the idea that certain aspects of age-related changes in vision are caused by a reduction in the effectiveness of cortical inhibitory circuits. In my talk I will review the evidence showing that aging is related to changes in GABAergic mechanisms and the challenges associated with linking such changes to psychophysical performance. Meeting abstract presented at VSS 2012
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How this classification was reachedexpand
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 | 0.000 |
| 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 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".