ReviewAnnual review of neuroscience2018
Cognition as a Window into Neuronal Population Space.
Review in Annual review of neuroscience, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05004649 (The Effects of Stimulus Variability in Natural Visual Scenes), which is not on this map. Cited by 42 papers.
What it found
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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.
The Effects of Stimulus Variability in Natural Visual Scenes
Who cites it
42 citing papers in PubMed.
- Article
- Structure Guides Function: Beyond Pairwise Neural Interactions.The Journal of comparative neurology · 2026Review
- Loss of neuronal population organization links pathology to behavior in a model of Alzheimer's disease.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Sparse component analysis: A method that uncovers separable computations within neural population activity.Neuron · 2026Article
- Progressive loss of independence in neuronal representations predicts cognitive decline.bioRxiv : the preprint server for biology · 2026Article
- Sequential experience reshapes population representations in visual cortex.bioRxiv : the preprint server for biology · 2026Article
- Loss of neuronal population organization links pathology to behavior in a model of Alzheimer's disease.bioRxiv : the preprint server for biology · 2026Article
- How attention-like behavior emerges in an artificial neural network.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Untangling stability and gain modulation in cortical circuits with multiple interneuron classes.eLife · 2025Article
- Orthogonal neural representations support perceptual judgments of natural stimuli.Scientific reports · 2025Article
- Complementary benefits of multivariate and hierarchical models for identifying individual differences in cognitive control.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Exploring the suitability of piecewise-linear dynamical system models for cognitive neural dynamics.Frontiers in neuroscience · 2025Article
- Complementary benefits of multivariate and hierarchical models for identifying individual differences in cognitive control.bioRxiv : the preprint server for biology · 2024Article
- Network state changes in sensory thalamus represent learned outcomes.Nature communications · 2024Article
- Article
- Orthogonal neural representations support perceptual judgements of natural stimuli.bioRxiv : the preprint server for biology · 2024Article
- Representational structures as a unifying framework for attention.Trends in cognitive sciences · 2024Review
- Identifying Interpretable Latent Factors with Sparse Component Analysis.bioRxiv : the preprint server for biology · 2024Article
- Macroscopic resting-state brain dynamics are best described by linear models.Nature biomedical engineering · 2024Article
- Behavioral read-out from population value signals in primate orbitofrontal cortex.Nature neuroscience · 2023Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
Understanding how cognitive processes affect the responses of sensory neurons may clarify the relationship between neuronal population activity and behavior. However, tools for analyzing neuronal activity have not kept up with technological advances in recording from large neuronal populations. Here, we describe prevalent hypotheses of how cognitive processes affect sensory neurons, driven largely by a model based on the activity of single neurons or pools of neurons as the units of computation. We then use simple simulations to expand this model to a new conceptual framework that focuses on subspaces of population activity as the relevant units of computation, uses comparisons between brain areas or to behavior to guide analyses of these subspaces, and suggests that population activity is optimized to decode the large variety of stimuli and tasks that animals encounter in natural behavior. This framework provides new ways of understanding the ever-growing quantity of recorded population activity data.
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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.