382:(ORGaNICs), that recapitulate many key neurophysiological and cognitive/perceptual phenomena including sensory processing and attention in visual cortex, working memory in prefrontal and parietal cortex, and premotor activity and motor control in motor cortex. The theory offers a unified framework for the dynamics of neural activity, and it recapitulates many key neurophysiological and cognitive/perceptual phenomena (including normalization, oscillatory activity, sustained delay-period activity, sequential activity and traveling waves of activity), measured with a wide range of methodologies (including intracellular recordings of membrane potential fluctuations, firing rates of individual neurons, optogenetic manipulations, local field potentials, neuroimaging, and behavioral performance).
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circuits that perform a set of canonical neural computations, repeating them across brain regions and modalities to apply operations of the same form. But we lack a theoretical framework for how such canonical computations can support a wide variety of cognitive processes and brain functions. Heeger developed a class of circuit models, called
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Heeger's current research focuses on developing and testing a unified theory of cortical circuit function. The field of neuroscience needs a general theory of brain function, like
Maxwell's Equations for the brain. There is considerable evidence that the brain relies on a set of canonical neural
991:
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Demb, J.B., G.M. Boynton, and D.J. Heeger, Brain activity in visual cortex predicts individual differences in reading performance. Proc Natl Acad Sci U S A, 1997. 94(24): p. 13363-6.
515:
Schluppeck, D., P. Glimcher, and D.J. Heeger, Topographic organization for delayed saccades in human posterior parietal cortex. J Neurophysiol, 2005. 94(2): p. 1372-84.
650:
Gandhi, S.P., D.J. Heeger, and G.M. Boynton, Spatial attention affects brain activity in human primary visual cortex. Proc Natl Acad Sci U S A, 1999. 96(6): p. 3314-9.
308:, the control of eye and hand movements, neural processing of complex audio-visual and emotional experiences (movies, music, narrative), abnormal visual processing in
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Polonsky, A., et al., Neuronal activity in human primary visual cortex correlates with perception during binocular rivalry. Nat
Neurosci, 2000. 3(11): p. 1153-9.
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Ress, D., B.T. Backus, and D.J. Heeger, Activity in primary visual cortex predicts performance in a visual detection task. Nat
Neurosci, 2000. 3(9): p. 940-945.
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Demb, J.B., G.M. Boynton, and D.J. Heeger, Functional magnetic resonance imaging of early visual pathways in dyslexia. J Neurosci, 1998. 18(17): p. 6939-51.
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Lee, S.H., R. Blake, and D.J. Heeger, Traveling waves of activity in primary visual cortex during binocular rivalry. Nat
Neurosci, 2005. 8(1): p. 22-3.
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Silver, M.A., D. Ress, and D.J. Heeger, Topographic maps of visual spatial attention in human parietal cortex. J Neurophysiol, 2005. 94(2): p. 1358-71.
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Simoncelli, E.P., et al., Shiftable multi-scale transforms. IEEE Transactions on
Information Theory, Special Issue on Wavelets, 1992. 38: p. 587-607.
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Huk, A.C., R.F. Dougherty, and D.J. Heeger, Retinotopy and functional subdivision of human areas MT and MST. J Neurosci, 2002. 22(16): p. 7195-7205.
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Gardner, J.L., et al., Maps of visual space in human occipital cortex are retinotopic, not spatiotopic. J Neurosci, 2008. 28(15): p. 3988-99.
668:
Hasson, U., R. Malach, and D.J. Heeger, Reliability of cortical activity during natural stimulation. Trends Cogn Sci, 2010. 14(1): p. 40-8.
632:
Herrmann, K., et al., When size matters: attention affects performance by contrast or response gain. Nat
Neurosci, 2010. 13(12): p. 1554-9.
560:
Lee, S.H., R. Blake, and D.J. Heeger, Hierarchy of cortical responses underlying binocular rivalry. Nat
Neurosci, 2007. 10(8): p. 1048-54.
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Backus, B.T., et al., Human cortical activity correlates with stereoscopic depth perception. J Neurophysiol, 2001. 86(4): p. 2054-68.
220:(born 1961) is an American neuroscientist, psychologist, computer scientist, data scientist, and entrepreneur. He is a professor at
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Larsson, J. and D.J. Heeger, Two retinotopic visual areas in human lateral occipital cortex. J Neurosci, 2006. 26(51): p. 13128-42.
284:) experiments on human vision. His primary contribution to computational neuroscience is a theory of neural processing called the
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Heeger holds a bachelor's degree in mathematics as well as a master's degree and doctorate in computer science—all from the
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Huk, A.C., D. Ress, and D.J. Heeger, Neuronal basis of the motion aftereffect reconsidered. Neuron, 2001. 32(1): p. 161-72.
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819:"Oscillatory recurrent gated neural integrator circuits (ORGaNICs), a unifying theoretical framework for neural dynamics"
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Heeger, D.J. and J.R. Bergen. Pyramid-Based
Texture Analysis/Synthesis. in Computer Graphics, SIGGRAPH Proceedings. 1995.
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Carandini, M. and D.J. Heeger, Normalization as a canonical neural computation. Nat Rev
Neurosci, 2012. 13(1): p. 51-62.
32:
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Hasson, U., et al., A hierarchy of temporal receptive windows in human cortex. J Neurosci, 2008. 28(10): p. 2539-50.
288:. His experimental research has contributed to our understanding of the topographic organization of visual cortex (
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Ress, D. and D.J. Heeger, Neuronal correlates of perception in early visual cortex. Nat
Neurosci, 2003. 10: p. 10.
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Huk, A.C. and D.J. Heeger, Pattern-motion responses in human visual cortex. Nat Neurosci, 2002. 5(1): p. 72-5.
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Black, M., et al., Robust anisotropic diffusion. IEEE Transactions on Image Processing, 1998. 7: p. 421-432.
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Heeger, D.J., Normalization of cell responses in cat striate cortex. Vis Neurosci, 1992. 9(2): p. 181-197.
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Reynolds, J.H. and D.J. Heeger, The normalization model of attention. Neuron, 2009. 61(2): p. 168-85.
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Boynton, G.M., et al., Neuronal basis of contrast discrimination. Vision Res, 1999. 39(2): p. 257-69.
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Heeger, D.J., et al., Motion opponency in visual cortex. J Neurosci, 1999. 19(16): p. 7162-74.
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Dinstein, I., et al., Unreliable evoked responses in autism. Neuron, 2012. 75(6): p. 981-91.
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Dinstein, I., et al., Normal movement selectivity in autism. Neuron, 2010. 66(3): p. 461-9.
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Proceedings of the National Academy of Sciences of the United States of America
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Dinstein, I., et al., A mirror up to nature. Curr Biol, 2008. 18(1): p. R13-8.
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Members of the United States National Academy of Sciences
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1994 Alfred P. Sloan Research Fellowship in neuroscience.
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Heeger, David J.; Zemlianova, Klavdia O. (2020-09-08).
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Heeger's academic research spans a cross-section of
817:Heeger, David J.; Mackey, Wayne E. (2019-11-05).
456:in the Sciences from New York University in 2006.
228:, and Chief Scientific Officer and co-founder of
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127:1987, Alfred P. Sloan Research Fellowship 1994,
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74:Learn how and when to remove this message
280:(functional magnetic resonance imaging,
50:by replacing them with more appropriate
454:Margaret and Herman Sokol Faculty Award
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33:too closely associated with the subject
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447:National Academy of Sciences
276:(perceptual psychology) and
133:National Academy of Sciences
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1007:New York University faculty
349:texture analysis/synthesis.
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99:1961 (age 62–63)
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1022:21st-century American Jews
1002:Jewish American scientists
392:University of Pennsylvania
266:computational neuroscience
159:Computational Neuroscience
115:University of Pennsylvania
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400:NASA-Ames Research Center
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997:American neuroscientists
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911:10.1073/pnas.2005417117
844:10.1073/pnas.1911633116
777:10.1073/pnas.1619788114
445:in psychology from the
339:image representations,
327:, Heeger has worked on
272:, and he has performed
443:Troland Research Award
262:cognitive neuroscience
171:cognitive neuroscience
129:Troland Research Award
341:anisotropic diffusion
254:perceptual psychology
167:perceptual psychology
459:2013 Elected to the
406:before joining NYU.
386:Education and career
300:(depth perception),
258:systems neuroscience
163:Systems Neuroscience
103:Berkeley, California
902:2020PNAS..11722494H
896:(36): 22494–22505.
835:2019PNAS..11622783H
829:(45): 22783–22794.
768:2017PNAS..114.1773H
435:in computer vision.
286:normalization model
252:. In the fields of
222:New York University
193:New York University
155:Visual Neuroscience
333:image registration
347:algorithms), and
329:motion estimation
325:computer graphics
315:In the fields of
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64:January 2019
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46:Please help
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1017:1960 births
358:scillatory
242:engineering
195:(professor)
986:Categories
468:References
374:ntegrator
298:stereopsis
290:retinotopy
246:psychology
48:improve it
38:verifiable
954:Home page
920:1091-6490
853:1091-6490
786:1091-6490
362:ecurrent
302:attention
52:citations
968:LinkedIn
938:32843341
871:31636212
804:28167793
404:Stanford
310:dyslexia
236:Research
929:7486719
898:Bibcode
862:6842604
831:Bibcode
795:5338385
764:Bibcode
337:wavelet
42:neutral
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431:1987
426:Awards
378:ircuit
370:eural
323:, and
264:, and
248:, and
147:Fields
131:2002,
121:Awards
105:, U.S.
452:2006
441:2002
135:2013.
934:PMID
916:ISSN
867:PMID
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366:ted
331:and
282:fMRI
96:Born
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