E. J. Chichilnisky

1998-2013 Salk Institute for Biological Studies, La Jolla, CA, United States 
 2013- Neurosurgery Stanford University, Palo Alto, CA 
visual system, retina
"E. J. Chichilnisky"

A.B Mathematics, Princeton University, 1985; M.S. Mathematics, Stanford University, 1992; Ph.D. Neuroscience, Stanford University, 1995

Mean distance: 12.68 (cluster 17)


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Donald Ready research assistant 1983-1986 Princeton
Brian A. Wandell grad student 1989-1995 Stanford
Denis A. Baylor post-doc 1995-1998 Stanford


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Daniela P. Amado research assistant UC San Diego/ SIO
Rachel S. Kalmar research assistant Salk Institute
Tim Machado research assistant Salk Institute
Victoria H. Fan research assistant 2014-2020 Stanford
Lauren E. Grosberg grad student Stanford
Nishal P. Shah grad student Stanford
Divya Chander grad student 2002 UCSD
Eric S. Frechette grad student 2005 UCSD
Valerie J. Uzzell grad student 2005 UCSD
Jonathon Shlens grad student 2007 UCSD
Jeffrey L. Gauthier grad student 2002-2008 Salk Institute
Justin B. Elstrott grad student 2003-2009 Salk Institute
Lauren H. Jepson grad student 2012 UCSD
Gorish Aggarwal grad student 2018-2020 Stanford
Greg D. Field post-doc Salk Institute
Martin Greschner post-doc Salk Institute
Fumitaka Osakada post-doc Salk Institute
Sam Cooler post-doc 2021- Stanford
Jeffrey L. Gauthier post-doc 2008-2010 Salk Institute
Eizaburo Doi post-doc 2011-2012 Salk Institute
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Shah NP, Brackbill N, Samarakoon R, et al. (2021) Individual variability of neural computations in the primate retina. Neuron
Tandon P, Bhaskhar N, Shah N, et al. (2021) Automatic Identification of Axon Bundle Activation for Epiretinal Prosthesis. Ieee Transactions On Neural Systems and Rehabilitation Engineering : a Publication of the Ieee Engineering in Medicine and Biology Society
Vilkhu RS, Madugula SS, Grosberg LE, et al. (2021) Spatially Patterned Bi-electrode Epiretinal Stimulation for Axon Avoidance at Cellular Resolution. Journal of Neural Engineering
Kim YJ, Brackbill N, Batty E, et al. (2021) Nonlinear Decoding of Natural Images From Large-Scale Primate Retinal Ganglion Recordings. Neural Computation. 33: 1719-1750
Brackbill N, Rhoades C, Kling A, et al. (2020) Reconstruction of natural images from responses of primate retinal ganglion cells. Elife. 9
Shah NP, Chichilnisky EJ. (2020) Computational challenges and opportunities for a bi-directional artificial retina. Journal of Neural Engineering. 17: 055002
Obaid A, Hanna ME, Wu YW, et al. (2020) Massively parallel microwire arrays integrated with CMOS chips for neural recording. Science Advances. 6: eaay2789
Shah NP, Brackbill N, Rhoades C, et al. (2020) Inference of nonlinear receptive field subunits with spike-triggered clustering. Elife. 9
Muratore D, Tandon P, Wootters M, et al. (2019) A Data-Compressive Wired-OR Readout for Massively Parallel Neural Recording. Ieee Transactions On Biomedical Circuits and Systems
Rhoades CE, Shah NP, Manookin MB, et al. (2019) Unusual Physiological Properties of Smooth Monostratified Ganglion Cell Types in Primate Retina. Neuron
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