William E. Vinje
University of California, Berkeley
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Featured researches published by William E. Vinje.
The Journal of Neuroscience | 2004
Stephen V. David; William E. Vinje; Jack L. Gallant
Studies of the primary visual cortex (V1) have produced models that account for neuronal responses to synthetic stimuli such as sinusoidal gratings. Little is known about how these models generalize to activity during natural vision. We recorded neural responses in area V1 of awake macaques to a stimulus with natural spatiotemporal statistics and to a dynamic grating sequence stimulus. We fit nonlinear receptive field models using each of these data sets and compared how well they predicted time-varying responses to a novel natural visual stimulus. On average, the model fit using the natural stimulus predicted natural visual responses more than twice as accurately as the model fit to the synthetic stimulus. The natural vision model produced better predictions in >75% of the neurons studied. This large difference in predictive power suggests that natural spatiotemporal stimulus statistics activate nonlinear response properties in a different manner than the grating stimulus. To characterize this modulation, we compared the temporal and spatial response properties of the model fits. During natural stimulation, temporal responses often showed a stronger late inhibitory component, indicating an effect of nonlinear temporal summation during natural vision. In addition, spatial tuning underwent complex shifts, primarily in the inhibitory, rather than excitatory, elements of the response profile. These differences in late and spatially tuned inhibition accounted fully for the difference in predictive power between the two models. Both the spatial and temporal statistics of the natural stimulus contributed to the modulatory effects.
Proceedings of the National Academy of Sciences of the United States of America | 2002
James A. Mazer; William E. Vinje; Josh D McDermott; Peter H. Schiller; Jack L. Gallant
Spatial frequency (SF) and orientation tuning are intrinsic properties of neurons in primary visual cortex (area V1). To investigate the neural mechanisms mediating selectivity in the awake animal, we measured the temporal dynamics of SF and orientation tuning. We adapted a high-speed reverse-correlation method previously used to characterize orientation tuning dynamics in anesthetized animals to estimate efficiently the complete spatiotemporal receptive fields in area V1 of behaving macaques. We found that SF and orientation tuning are largely separable over time in single neurons. However, spatiotemporal receptive fields also contain a small nonseparable component that reflects a significant difference in response latency for low and high SF stimuli. The observed relationship between stimulus SF and latency represents a dynamic shift in SF tuning, and suggests that single V1 neurons might receive convergent input from the magno- and parvocellular processing streams. Although previous studies with anesthetized animals suggested that orientation tuning could change dramatically over time, we find no substantial evidence of dynamic changes in orientation tuning.
Science | 2000
William E. Vinje; Jack L. Gallant
Network: Computation In Neural Systems | 2001
Frédéric E. Theunissen; Stephen V. David; Nandini C. Singh; Anne Hsu; William E. Vinje; Jack L. Gallant
The Journal of Neuroscience | 2002
William E. Vinje; Jack L. Gallant
The Astrophysical Journal | 1994
M. Bersanelli; M. Bensadoun; G. De Amici; S. Levin; M. Limon; George F. Smoot; William E. Vinje
neural information processing systems | 1997
William E. Vinje; Jack L. Gallant
Archive | 1993
Giovanni De Amici; George F. Smoot; M. Bensadoun; M. Bersanelli; S. Levin; M. Limon; William E. Vinje
The Antarctic Journal of the United States | 1993
William E. Vinje; M. Bensadoun; M. Bersanelli; Giovanni De Amici; Steven M. Levin; M. Limon; George F. Smoot
Archive | 1993
M. Bersanelli; M. Bensadoun; Giovanni De Amici; S. Levin; M. Limon; George F. Smoot; S. T. Tanaka; William E. Vinje