ArticleNature communications2023
A power law describes the magnitude of adaptation in neural populations of primary visual cortex.
Article in Nature communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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
11 citing papers in PubMed.
- Contrast and pattern adaptation in visual cortex share a common gain control mechanism.Journal of neurophysiology · 2026Article
- Contrast and pattern adaptation in visual cortex share a common gain control mechanism.bioRxiv : the preprint server for biology · 2025Article
- Predictive coding: a more cognitive process than we thought?Trends in cognitive sciences · 2025Review
- A universal power law optimizes energy and representation fidelity in visual adaptation.bioRxiv : the preprint server for biology · 2025Article
- Adaptation shapes the representational geometry in mouse V1 to efficiently encode the environment.bioRxiv : the preprint server for biology · 2025Article
- Neural heterogeneity enables adaptive encoding of time sequences.Communications physics · 2025Article
- Adaptation optimizes sensory encoding for future stimuli.PLoS computational biology · 2025Article
- Contrast gain control is a reparameterization of a population response curve.Journal of neurophysiology · 2024Article
- Contrast gain control is a reparameterization of a population response curve.bioRxiv : the preprint server for biology · 2024Article
- On the contrast response function of adapted neural populations.Journal of neurophysiology · 2024Article
- On the contrast response function of adapted neural populations.bioRxiv : the preprint server for biology · 2023Article
Corrections and comments
- Update of
Authors and funding
3 authors.
Funding
Abstract
How do neural populations adapt to the time-varying statistics of sensory input? We used two-photon imaging to measure the activity of neurons in mouse primary visual cortex adapted to different sensory environments, each defined by a distinct probability distribution over a stimulus set. We find that two properties of adaptation capture how the population response to a given stimulus, viewed as a vector, changes across environments. First, the ratio between the response magnitudes is a power law of the ratio between the stimulus probabilities. Second, the response direction to a stimulus is largely invariant. These rules could be used to predict how cortical populations adapt to novel, sensory environments. Finally, we show how the power law enables the cortex to preferentially signal unexpected stimuli and to adjust the metabolic cost of its sensory representation to the entropy of the environment.
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.