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Brian A. Wandell
Researcher at Stanford University
Publications - 350
Citations - 30931
Brian A. Wandell is an academic researcher from Stanford University. The author has contributed to research in topics: Visual cortex & Pixel. The author has an hindex of 83, co-authored 341 publications receiving 28529 citations. Previous affiliations of Brian A. Wandell include PARC & Hewlett-Packard.
Papers
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Compressive spatial summation in human visual cortex
TL;DR: This study measured BOLD responses to a systematic set of contrast patterns and discovered systematic deviation from linearity: the data are more accurately explained by a model in which a compressive static nonlinearity is applied after linear spatial summation.
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Visualization and Measurement of the Cortical Surface
TL;DR: Methods for viewing large portions of the brain's surface in a single flattened representation are described and the flattened representation preserves several key spatial relationships between regions on the cortical surface.
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Functional measurements of human ventral occipital cortex: retinotopy and colour.
TL;DR: Functional magnetic resonance imaging was used to identify visual field maps and colour responsivity on the ventral surface and found a visual map of the complete contralateral hemifield in a 4 cm(2) region adjacent to ventral V3; the foveal representation of this map is confluent with that of areas V1/2/3.
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Standard surface-reflectance model and illuminant estimation
Shoji Tominaga,Brian A. Wandell +1 more
TL;DR: In this article, the authors adopt a vector analysis technique for testing the standard reflectance model for inhomogeneous materials and develop a computational method to determine the components of the observed spectra, and obtain an estimate of the illuminant without using a reference white standard.
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Quantifying the local tissue volume and composition in individual brains with magnetic resonance imaging.
Aviv Mezer,Jason D. Yeatman,Nikola Stikov,Kendrick Kay,Nam-Joon Cho,Nam-Joon Cho,Robert F. Dougherty,Michael L. Perry,Josef Parvizi,Le H. Hua,Kim Butts-Pauly,Brian A. Wandell +11 more
TL;DR: A quantitative neuroimaging method to estimate the macromolecular tissue volume (MTV), a fundamental measure of brain anatomy, and shows that MTV provides a sensitive measure of disease status in individual patients with multiple sclerosis.