ArticlePLoS computational biology2013
A two-stage cascade model of BOLD responses in human visual cortex.
Article in PLoS computational biology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers.
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Who cites it
45 citing papers in PubMed, 112 citations in OpenAlex.
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- Hierarchical Neural Circuit Theory of Normalization and Inter-areal Communication.bioRxiv : the preprint server for biology · 2025Article
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- Feature-Specific Salience Maps in Human Cortex.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2023Article
- Normalization by orientation-tuned surround in human V1-V3.PLoS computational biology · 2023Article
- Two-Dimensional Population Receptive Field Mapping of Human Primary Somatosensory Cortex.Brain topography · 2023Article
- The normalization model predicts responses in the human visual cortex during object-based attention.eLife · 2023Article
- A mechanistic account of visual discomfort.Frontiers in neuroscience · 2023Article
- A unified model of the task-evoked pupil response.Science advances · 2022Article
- Mapping spatial frequency preferences across human primary visual cortex.Journal of vision · 2022Article
- fMRI Brain Decoding and Its Applications in Brain-Computer Interface: A Survey.Brain sciences · 2022Article
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- A visual encoding model links magnetoencephalography signals to neural synchrony in human cortex.NeuroImage · 2021Article
- Divisive normalization unifies disparate response signatures throughout the human visual hierarchy.Proceedings of the National Academy of Sciences of the United States of America · 2021Article
- Dynamic Electrode-to-Image (DETI) mapping reveals the human brain's spatiotemporal code of visual information.PLoS computational biology · 2021Article
- A quadratic model captures the human V1 response to variations in chromatic direction and contrast.eLife · 2021Article
- A Visual Encoding Model Based on Contrastive Self-Supervised Learning for Human Brain Activity along the Ventral Visual Stream.Brain sciences · 2021Article
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Authors and funding
5 authors at 1 institution in 1 country.
Funding
Abstract
Visual neuroscientists have discovered fundamental properties of neural representation through careful analysis of responses to controlled stimuli. Typically, different properties are studied and modeled separately. To integrate our knowledge, it is necessary to build general models that begin with an input image and predict responses to a wide range of stimuli. In this study, we develop a model that accepts an arbitrary band-pass grayscale image as input and predicts blood oxygenation level dependent (BOLD) responses in early visual cortex as output. The model has a cascade architecture, consisting of two stages of linear and nonlinear operations. The first stage involves well-established computations-local oriented filters and divisive normalization-whereas the second stage involves novel computations-compressive spatial summation (a form of normalization) and a variance-like nonlinearity that generates selectivity for second-order contrast. The parameters of the model, which are estimated from BOLD data, vary systematically across visual field maps: compared to primary visual cortex, extrastriate maps generally have larger receptive field size, stronger levels of normalization, and increased selectivity for second-order contrast. Our results provide insight into how stimuli are encoded and transformed in successive stages of visual processing.
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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.