Brian Potetz

Carnegie Mellon University, Pittsburgh, PA 
Computation & Theory
"Brian Potetz"
Mean distance: 14.78 (cluster 17)


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Tai Sing Lee grad student 2001-2008 Carnegie Mellon
 (Efficient statistical methods for three-dimensional shape inference.)
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Samonds JM, Potetz BR, Lee TS. (2014) Sample skewness as a statistical measurement of neuronal tuning sharpness. Neural Computation. 26: 860-906
Samonds JM, Potetz BR, Tyler CW, et al. (2013) Recurrent connectivity can account for the dynamics of disparity processing in V1. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 33: 2934-46
Samonds JM, Potetz BR, Lee TS. (2012) Relative luminance and binocular disparity preferences are correlated in macaque primary visual cortex, matching natural scene statistics. Proceedings of the National Academy of Sciences of the United States of America. 109: 6313-8
Samonds JM, Potetz B, Lee TS. (2010) Cooperative processing of spatially distributed disparity signals in macaque V1 Journal of Vision. 6: 831-831
Samonds JM, Potetz BR, Lee TS. (2009) Cooperative and competitive interactions facilitate stereo computations in macaque primary visual cortex. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 29: 15780-95
Lee TS, Stepleton T, Potetz B, et al. (2009) Neural encoding of scene statistics for surface and object inference Object Categorization: Computer and Human Vision Perspectives. 451-474
Potetz B, Lee TS. (2008) Efficient belief propagation for higher-order cliques using linear constraint nodes Computer Vision and Image Understanding. 112: 39-54
Samonds JM, Potetz BR, Lee TS. (2007) Neurophysiological evidence of cooperative mechanisms for stereo computation Advances in Neural Information Processing Systems. 1201-1208
Yu Y, Potetz B, Lee TS. (2005) The role of spiking nonlinearity in contrast gain control and information transmission. Vision Research. 45: 583-92
Potetz B, Lee TS. (2003) Statistical correlations between two-dimensional images and three-dimensional structures in natural scenes. Journal of the Optical Society of America. a, Optics, Image Science, and Vision. 20: 1292-303
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