ArticleNature communications2024
Rethinking simultaneous suppression in visual cortex via compressive spatiotemporal population receptive fields.
Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Simultaneous Cortical Responses to Multiple Written Words.Journal of cognitive neuroscience · 2026Article
- Simultaneous cortical responses to multiple written words.bioRxiv : the preprint server for biology · 2026Article
- Population coding for visual and auditory quantity in human numerotopic maps.Communications biology · 2026Article
- A dynamic spatiotemporal normalization model captures perceptual and neural effects of spatial and temporal context.PLoS biology · 2025Article
- Human retinotopic mapping: From empirical to computational models of retinotopy.Journal of vision · 2025Review
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Abstract
When multiple visual stimuli are presented simultaneously in the receptive field, the neural response is suppressed compared to presenting the same stimuli sequentially. The prevailing hypothesis suggests that this suppression is due to competition among multiple stimuli for limited resources within receptive fields, governed by task demands. However, it is unknown how stimulus-driven computations may give rise to simultaneous suppression. Using fMRI, we find simultaneous suppression in single voxels, which varies with both stimulus size and timing, and progressively increases up the visual hierarchy. Using population receptive field (pRF) models, we find that compressive spatiotemporal summation rather than compressive spatial summation predicts simultaneous suppression, and that increased simultaneous suppression is linked to larger pRF sizes and stronger compressive nonlinearities. These results necessitate a rethinking of simultaneous suppression as the outcome of stimulus-driven compressive spatiotemporal computations within pRFs, and open new opportunities to study visual processing capacity across space and time.
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