Adaptation-induced sharpening of orientation tuning curves in the mouse visual cortex
Bibliographic record
Abstract
ABSTRACT Orientation selectivity is an emergent property of visual neurons across species with columnar and non-columnar organization of the visual cortex. To compute the orientation selectivity of a neuron, a tuning function is fit on the raw responses of a neuron and then a measure, termed orientation selectivity index (OSI), is derived from this fitted curve to determine the tuning of the neuron. Previously, it has been shown that adaptation (a protocol where a neuron under observation is presented a non-optimal stimulus for a specific time) has varying effects on the tuning properties of neurons, such as, orientation, spatial frequency, motion etc. The emergence of OSI is more established in columnar cortices than the non-columnar ones. However, how adaptation impinges upon the OSI of the latter has not been systematically investigated. Here, in the mouse primary visual cortex (V1), we show that a 12-min adaptation protocol sharpens the OSI (tuning) of the visual neurons, underlying a specific dendritic neural mechanism, potentially facilitating the learning of novel features.
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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) | 0.000 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".