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Eizaburo Doi

Affiliations: 
2022- ATR Computational Neuroscience Laboratories, Stoke-on-Trent, England, United Kingdom 
Area:
Computation & Theory
Website:
https://sites.google.com/view/eizaburo-doi/
Google:
"Eizaburo Doi"
Mean distance: 12.16 (cluster 17)
 		SNBCP
Cross-listing: Computational Biology Tree

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Parents

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Terrence J. Sejnowski grad student 2001-2003 UCSD
Michael S. Lewicki post-doc 2003-2007 Carnegie Mellon
Liam Paninski post-doc 2007-2011 NYU
Eero P. Simoncelli post-doc 2007-2011 NYU
E. J. Chichilnisky post-doc 2011-2012 Salk Institute
Yukiyasu Kamitani research scientist 2022-
Michael S. Lewicki research scientist 2012-2014 Case Western
Shaul Druckmann research scientist 2015-2018 Janelia Research Campus

Children

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Collaborators

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Thomas Wachtler collaborator 2001-2003 Salk Institute
Jeffrey L. Gauthier collaborator 2008-2011 Salk Institute
Greg D. Field collaborator 2008-2012 Salk Institute
BETA: Related publications

Publications

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Doi E, Lewicki MS. (2014) A simple model of optimal population coding for sensory systems. Plos Computational Biology. 10: e1003761
Doi E, Lewicki M. (2014) Optimal retinal population coding predicts inhomogeneous light adaptation and contrast sensitivity across the visual field Journal of Vision. 14: 1188-1188
Doi E, Gauthier JL, Field GD, et al. (2012) Efficient coding of spatial information in the primate retina. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 32: 16256-64
Doi E, Lewicki MS. (2011) Characterization of minimum error linear coding with sensory and neural noise. Neural Computation. 23: 2498-510
Wachtler T, Doi E, Lee T, et al. (2007) Cone selectivity derived from the responses of the retinal cone mosaic to natural scenes. Journal of Vision. 7: 6
Doi E, Balcan DC, Lewicki MS. (2007) Robust coding over noisy overcomplete channels. Ieee Transactions On Image Processing : a Publication of the Ieee Signal Processing Society. 16: 442-52
Doi E, Lewicki MS. (2007) A theory of retinal population coding Advances in Neural Information Processing Systems. 353-360
Doi E, Balcan DC, Lewicki MS. (2005) A theoretical analysis of robust coding over noisy overcomplete channels Advances in Neural Information Processing Systems. 307-314
Doi E, Lewicki MS. (2005) Sparse coding of natural images using an overcomplete set of limited capacity units Advances in Neural Information Processing Systems
Doi E, Inui T, Lee TW, et al. (2003) Spatiochromatic receptive field properties derived from information-theoretic analyses of cone mosaic responses to natural scenes. Neural Computation. 15: 397-417
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