Yuwei Cui, B.S.
Affiliations: | Biology | University of Maryland, College Park, College Park, MD |
Area:
computational neuroscienceWebsite:
http://home.ustc.edu.cn/~ywcuiGoogle:
"Yuwei Cui"Mean distance: 15.25 (cluster 17) | S | N | B | C | P |
Parents
Sign in to add mentorSi Wu | research assistant | University of Maryland | |
Daniel A. Butts | grad student | 2011-2015 | Numenta, Inc |
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Publications
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Cui Y, Ahmad S, Hawkins J. (2017) The HTM Spatial Pooler-A Neocortical Algorithm for Online Sparse Distributed Coding. Frontiers in Computational Neuroscience. 11: 111 |
Hawkins J, Ahmad S, Cui Y. (2017) A Theory of How Columns in the Neocortex Enable Learning the Structure of the World. Frontiers in Neural Circuits. 11: 81 |
Cui Y, Wang YV, Park SJ, et al. (2016) Divisive suppression explains high-precision firing and contrast adaptation in retinal ganglion cells. Elife. 5 |
Butts DA, Cui Y, Casti AR. (2016) Nonlinear computations shaping temporal processing of pre-cortical vision. Journal of Neurophysiology. jn.00878.2015 |
Cui Y, Liu LD, McFarland JM, et al. (2016) Inferring Cortical Variability from Local Field Potentials. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 36: 4121-35 |
Cui Y, Wang YV, Park SJH, et al. (2016) Author response: Divisive suppression explains high-precision firing and contrast adaptation in retinal ganglion cells Elife |
Cui Y, Wang YV, Demb JB, et al. (2015) An accurate circuit-based description of retinal ganglion cell computation Bmc Neuroscience. 16: O9 |
Cui Y, Liu LD, Khawaja FA, et al. (2013) Diverse suppressive influences in area MT and selectivity to complex motion features. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 33: 16715-28 |
McFarland JM, Cui Y, Butts DA. (2013) Inferring nonlinear neuronal computation based on physiologically plausible inputs. Plos Computational Biology. 9: e1003143 |
Huang L, Cui Y, Zhang D, et al. (2011) Impact of noise structure and network topology on tracking speed of neural networks. Neural Networks : the Official Journal of the International Neural Network Society. 24: 1110-9 |