The spotlight of attention: shifting, resizing and splitting receptive fields when processing visual motion
Bibliographic record
Abstract
Abstract In the visual system receptive fields represent the spatial selectivity of neurons for a given set of visual inputs. Their invariance is thought to be caused by a hardwired input configuration, which ensures a stable ‘labeled line’ code for the spatial position of visual stimuli. On the other hand, changeable receptive fields can provide the visual system with flexibility for allocating processing resources in space. The allocation of spatial attention, often referred to as the spotlight of attention, is a behavioral equivalent of visual receptive fields. It dynamically modulates the spatial sensitivity to visual information as a function of the current attentional focus of the organism. Here we focus on the brain system for encoding visual motion information and review recent findings documenting interactions between spatial attention and receptive fields in the visual cortex of primates. Such interactions create a careful balance between the benefits of invariance with those derived from the attentional modulation of information processing according to the current behavioral goals.
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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 | 0.001 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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".