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David J. Heeger
Researcher at New York University
Publications - 278
Citations - 41094
David J. Heeger is an academic researcher from New York University. The author has contributed to research in topics: Visual cortex & Visual system. The author has an hindex of 88, co-authored 268 publications receiving 38154 citations. Previous affiliations of David J. Heeger include Stanford University & Courant Institute of Mathematical Sciences.
Papers
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Journal ArticleDOI
Measurement and modeling of center-surround suppression and enhancement.
Jing Xing,David J. Heeger +1 more
TL;DR: Based on the experimental data, a computational model was developed to account for center-surround suppression and enhancement and confirmed previous findings that a surround stimulus could produce either contrast enhancement or contrast suppression depending on the balance of the central and surround contrasts.
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Stereoscopic processing of absolute and relative disparity in human visual cortex.
TL;DR: The results indicate that processing in dorsal areas may rely mostly on information about absolute disparities, while ventral areas split neural resources between the two types of stereoscopic information so as to maintain an important representation of relative disparity.
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Neural variability: friend or foe?
TL;DR: It is proposed that measuring distinct types of neural variability in autism and other disorders is likely to reveal crucial insights regarding their neuropathology and the importance of studying neural variability more generally across development and aging in humans is discussed.
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Attentional Enhancement via Selection and Pooling of Early Sensory Responses in Human Visual Cortex
TL;DR: It is concluded that attention enhanced behavioral performance predominantly by enabling efficient selection of the behaviorally relevant sensory signals.
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Categorical Clustering of the Neural Representation of Color
G.J. Brouwer,David J. Heeger +1 more
TL;DR: The neural color spaces in two visual areas, human ventral V4 and VO1, exhibited clustering for the color-naming task, but not for the diverted attention task, and a model is presented that induces such a categorical representation by changing the response gains of subpopulations of color-selective neurons.