ArticleJournal of neurophysiology2025
Dynamics of energy-efficient coding in visual cortex.
Article in Journal of neurophysiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 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
2 citing papers in PubMed.
- Brain-inspired energy efficient technologies for next-generation artificial intelligence.Biological cybernetics · 2026Review
- Contrast and pattern adaptation in visual cortex share a common gain control mechanism.bioRxiv : the preprint server for biology · 2025Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
Sparse coding enables cortical populations to represent sensory inputs efficiently, yet its temporal dynamics remain poorly understood. Here, we provide direct evidence that stimulus onset initially drives broad cortical activation, transiently reducing sparseness while increasing mutual information. Over time, competitive interactions refine the population response, maintaining high mutual information as activity declines and sparseness increases. Critically, coding efficiency, quantified as the ratio of mutual information to metabolic cost, steadily improves throughout stimulus presentation, revealing an active, time-dependent optimization of sensory representations.
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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.