Chichilnisky, E. J.

8 publications

NeurIPS 2022 Maximum a Posteriori Natural Scene Reconstruction from Retinal Ganglion Cells with Deep Denoiser Priors Eric Wu, Nora Brackbill, Alexander Sher, Alan Litke, Eero P. Simoncelli, E. J. Chichilnisky

NeurIPS 2019 Efficient Characterization of Electrically Evoked Responses for Neural Interfaces Nishal Shah, Sasidhar Madugula, Pawel Hottowy, Alexander Sher, Alan Litke, Liam Paninski, E. J. Chichilnisky

ICLR 2017 Multilayer Recurrent Network Models of Primate Retinal Ganglion Cell Responses Eleanor Batty, Josh Merel, Nora Brackbill, Alexander Heitman, Alexander Sher, Alan M. Litke, E. J. Chichilnisky, Liam Paninski

NeurIPS 2017 Neural Networks for Efficient Bayesian Decoding of Natural Images from Retinal Neurons Nikhil Parthasarathy, Eleanor Batty, William Falcon, Thomas Rutten, Mohit Rajpal, E. J. Chichilnisky, Liam Paninski

NeurIPS 2017 YASS: Yet Another Spike Sorter Jin Hyung Lee, David E Carlson, Hooshmand Shokri Razaghi, Weichi Yao, Georges A Goetz, Espen Hagen, Eleanor Batty, E. J. Chichilnisky, Gaute T. Einevoll, Liam Paninski

NeurIPS 2015 Recognizing Retinal Ganglion Cells in the Dark Emile Richard, Georges A Goetz, E. J. Chichilnisky

NeurIPS 2014 Inferring Synaptic Conductances from Spike Trains with a Biophysically Inspired Point Process Model Kenneth W Latimer, E. J. Chichilnisky, Fred Rieke, Jonathan W Pillow

NeurIPS 2001 Characterizing Neural Gain Control Using Spike-Triggered Covariance Odelia Schwartz, E. J. Chichilnisky, Eero P. Simoncelli