ArticleNature communications2019
The geometry of masking in neural populations.
Article in Nature communications, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Broadband visual stimuli improve neuronal representation and sensory perception.Nature communications · 2025Article
- Topological structure of population activity in mouse visual cortex encodes densely sampled stimulus rotations.iScience · 2024Article
- Population encoding of stimulus features along the visual hierarchy.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- A power law describes the magnitude of adaptation in neural populations of primary visual cortex.Nature communications · 2023Article
- Population encoding of stimulus features along the visual hierarchy.bioRxiv : the preprint server for biology · 2023Article
- Unsupervised approach to decomposing neural tuning variability.Nature communications · 2023Article
- Spatially distributed computation in cortical circuits.Science advances · 2022Article
- Article
- Neural tuning and representational geometry.Nature reviews. Neuroscience · 2021Review
- Interpreting neural computations by examining intrinsic and embedding dimensionality of neural activity.Current opinion in neurobiology · 2021Review
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1 author.
Funding
Abstract
The normalization model provides an elegant account of contextual modulation in individual neurons of primary visual cortex. Understanding the implications of normalization at the population level is hindered by the heterogeneity of cortical neurons, which differ in the composition of their normalization pools and semi-saturation constants. Here we introduce a geometric approach to investigate contextual modulation in neural populations and study how the representation of stimulus orientation is transformed by the presence of a mask. We find that population responses can be embedded in a low-dimensional space and that an affine transform can account for the effects of masking. The geometric analysis further reveals a link between changes in discriminability and bias induced by the mask. We propose the geometric approach can yield new insights into the image processing computations taking place in early visual cortex at the population level while coping with the heterogeneity of single cell behavior.
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