ArticleJournal of neurophysiology2026
Contrast and pattern adaptation in visual cortex share a common gain control mechanism.
Article in Journal of neurophysiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
- Update of
Authors and funding
3 authors.
Funding
Abstract
Neuronal populations in primary visual cortex adapt both to stimulus contrast and to the probability of occurrence of visual patterns. Previous work showed that the magnitude of the population response follows a separable power-law function of contrast and stimulus probability, suggesting the existence of a shared gain mechanism. Here we ask whether a similar equivalence extends beyond response magnitude to the full distribution of activity across neurons within a trial. Across a wide range of adaptation states, we find that population responses are highly sparse and well described by a zero-inflated log-normal distribution. In this model, a fraction
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.