Relationships between image structure and gamma oscillations and synchronization in visual cortex of cats
Bibliographic record
Abstract
The relationships between visual object configurations and interneuronal spike synchronization and gamma oscillations are examined in the present investigation. Cells were initially stimulated with moving, optimally oriented, single 20 degrees -long bars of light, centred on the compound receptive field of a pool of cortical neurons. When this kind of stimulus evoked intrinsic gamma oscillations and/or synchronization, we gradually fractured the original target. In addition, colinearity was ruptured by forming L- and T-shaped configurations. All fractures and discontinuities were introduced well outside the excitatory receptive field. Multiunit activity in the visual cortex (areas 17 and 18) was recorded in anaesthetized cats. Recording sites were separated by 0.4-1.2 mm. The data analysis indicates that gamma oscillations follow a rule by which unfractured bars yielded the highest S/N ratios. Synchronization strength, as revealed by the central peak in cross-correlograms, also seemed to depend upon stimulus configuration. However, the magnitude of the central peak failed to follow a consistent trend. For instance, the greatest magnitude of the central peak occurred for both colinear and orthogonal types of target. Our results support the notion that both gamma oscillations and neuronal synchronization are stimulus-dependent.
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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 | 0.001 |
| 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 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".