2013 - Member of the National Academy of Sciences
2002 - Troland Research Awards, United States National Academy of Sciences For his groundbreaking contributions to our understanding of the relation between perceptual experience and neural activity in visual cortex, using neuroimaging and computational methods.
1994 - Fellow of Alfred P. Sloan Foundation
His primary areas of study are Neuroscience, Visual cortex, Visual perception, Artificial intelligence and Functional magnetic resonance imaging. The Visual cortex study combines topics in areas such as Receptive field, Communication, Stimulus, Normalization model and Neuroimaging. His Communication study incorporates themes from Neural activity, Perception and Calcarine sulcus.
His Visual perception research includes themes of Visual processing and Linear model. His Artificial intelligence study integrates concerns from other disciplines, such as Psychophysics, Computer vision and Pattern recognition. His work deals with themes such as Magnetic resonance imaging, Human brain and Macaque, which intersect with Functional magnetic resonance imaging.
His primary scientific interests are in Neuroscience, Visual cortex, Artificial intelligence, Stimulus and Visual perception. His works in Brain mapping, Sensory system, Motion perception, Photic Stimulation and Surround suppression are all subjects of inquiry into Neuroscience. His studies in Visual cortex integrate themes in fields like Psychophysics, Functional magnetic resonance imaging, Communication and Visual memory.
While the research belongs to areas of Artificial intelligence, David J. Heeger spends his time largely on the problem of Pattern recognition, intersecting his research to questions surrounding Normalization. Within one scientific family, David J. Heeger focuses on topics pertaining to Normalization model under Stimulus, and may sometimes address concerns connected to Covert. His Visual perception course of study focuses on Cognitive psychology and Binocular rivalry and Visual spatial attention.
David J. Heeger mainly focuses on Neuroscience, Visual cortex, Artificial intelligence, Perception and Stimulus. His research integrates issues of Autism and Autism spectrum disorder in his study of Neuroscience. David J. Heeger has included themes like Cued speech, Luminance, Endogeny and Normalization in his Visual cortex study.
His Artificial intelligence research is multidisciplinary, incorporating elements of Sensory processing, Computer vision and Pattern recognition. The study incorporates disciplines such as Segmentation, Cognitive psychology, Visual search and Perspective in addition to Perception. His Stimulus research incorporates themes from Space, Speech recognition and Visual attention.
David J. Heeger spends much of his time researching Neuroscience, Visual cortex, Cued speech, Sensory system and Perception. He is involved in the study of Neuroscience that focuses on Cortex in particular. His Cortex research integrates issues from Human brain, Artificial intelligence, Eye movement, Visual field and Pattern recognition.
His Visual cortex research incorporates elements of Normalization, Macaque, Stimulus, Neuron and Prolonged exposure. His biological study spans a wide range of topics, including Pupillometry, Pupil and Autism, Autism spectrum disorder. When carried out as part of a general Perception research project, his work on Rapid serial visual presentation, Visual spatial attention and Visual space is frequently linked to work in Field size and Disgust, therefore connecting diverse disciplines of study.
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Linear Systems Analysis of Functional Magnetic Resonance Imaging in Human V1
Geoffrey M. Boynton;Stephen A. Engel;Gary H. Glover;David J. Heeger.
The Journal of Neuroscience (1996)
Normalization of cell responses in cat striate cortex
David J. Heeger.
Visual Neuroscience (1992)
Shiftable multiscale transforms
E.P. Simoncelli;W.T. Freeman;E.H. Adelson;D.J. Heeger.
IEEE Transactions on Information Theory (1992)
Pyramid-based texture analysis/synthesis
D.J. Heeger;J.R. Bergen.
international conference on computer graphics and interactive techniques (1995)
Robust anisotropic diffusion
M.J. Black;G. Sapiro;D.H. Marimont;D. Heeger.
IEEE Transactions on Image Processing (1998)
Normalization as a canonical neural computation.
Matteo Carandini;David J. Heeger.
Nature Reviews Neuroscience (2012)
The Normalization Model of Attention
John H. Reynolds;David J. Heeger.
What does fMRI tell us about neuronal activity
David J. Heeger;David Ress.
Nature Reviews Neuroscience (2002)
A model of neuronal responses in visual area MT.
Eero P. Simoncelli;David J. Heeger.
Vision Research (1998)
Linearity and Normalization in Simple Cells of the Macaque Primary Visual Cortex
Matteo Carandini;David J. Heeger;J. Anthony Movshon.
The Journal of Neuroscience (1997)
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