Color Appearance in Images Measurements and Musings. - Brian A. Wandell; E. J. Chichilnisky (CIC, 1994)

Characterizing Neural Gain Control using Spike-triggered Covariance. - Odelia Schwartz; E. J. Chichilnisky; Eero P. Simoncelli (NIPS, 2001)

Estimating Entropy Rates with Bayesian Confidence Intervals. - Matthew B. Kennel; Jonathon Shlens; Henry D. I. Abarbanel; E. J. Chichilnisky (Neural Comput., 2005)

Estimating Information Rates with Confidence Intervals in Neural Spike Trains. - Jonathon Shlens; Matthew B. Kennel; Henry D. I. Abarbanel; E. J. Chichilnisky (Neural Comput., 2007)

Modeling the impact of common noise inputs on the network activity of retinal ganglion cells. - Michael Vidne; Yashar Ahmadian; Jonathon Shlens; Jonathan W. Pillow; Jayant Kulkarni; Alan M. Litke; E. J. Chichilnisky; Eero P. Simoncelli; Liam Paninski (J. Comput. Neurosci., 2012)

Inferring synaptic conductances from spike trains with a biophysically inspired point process model. - Kenneth W. Latimer; E. J. Chichilnisky; Fred Rieke; Jonathan W. Pillow (NIPS, 2014)

Recognizing retinal ganglion cells in the dark. - Emile Richard; Georges Goetz; E. J. Chichilnisky (NIPS, 2015)

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 (ICLR (Poster), 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 (NIPS, 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 (NIPS, 2017)

Electrical stimulus artifact cancellation and neural spike detection on large multi-electrode arrays. - Gonzalo E. Mena; Lauren E. Grosberg; Sasidhar Madugula; Pawel Hottowy; Alan M. Litke; John P. Cunningham; E. J. Chichilnisky; Liam Paninski (PLoS Comput. Biol., 2017)

Learning a neural response metric for retinal prosthesis. - Nishal P. Shah; Sasidhar Madugula; E. J. Chichilnisky; Yoram Singer; Jonathon Shlens (ICLR (Poster), 2018)

Optimization of Electrical Stimulation for a High-Fidelity Artificial Retina. - Nishal P. Shah; Sasidhar Madugula; Lauren E. Grosberg; Gonzalo E. Mena; Pulkit Tandon; Pawel Hottowy; Alexander Sher; Alan M. Litke; Subhasish Mitra; E. J. Chichilnisky (NER, 2019)

Efficient characterization of electrically evoked responses for neural interfaces. - Nishal P. Shah; Sasidhar Madugula; Pawel Hottowy; Alexander Sher; Alan M. Litke; Liam Paninski; E. J. Chichilnisky (NeurIPS, 2019)

A Data-Compressive Wired-OR Readout for Massively Parallel Neural Recording. - Dante Gabriel Muratore; Pulkit Tandon; Mary Wootters; E. J. Chichilnisky; Subhasish Mitra; Boris Murmann (IEEE Trans. Biomed. Circuits Syst., 2019)

An RF-Ultrasound Relay for Powering Deep Implants Across Air-Tissue Interfaces with a Multi-Output Regulating Rectifier and Ultrasound Beamforming. - Ernest So; Pyungwoo Yeon; E. J. Chichilnisky; Amin Arbabian (VLSI Circuits, 2021)

Nonlinear Decoding of Natural Images From Large-Scale Primate Retinal Ganglion Recordings. - Young Joon Kim; Nora Brackbill; Eleanor Batty; Jin Hyung Lee; Catalin Mitelut; William Tong; E. J. Chichilnisky; Liam Paninski (Neural Comput., 2021)

Data Compression versus Signal Fidelity Trade-off in Wired-OR ADC Arrays for Neural Recording. - Pumiao Yan; Nishal P. Shah; Dante G. Muratore; Pulkit Tandon; E. J. Chichilnisky; Boris Murmann (BioCAS, 2022)

Maximum a posteriori natural scene reconstruction from retinal ganglion cells with deep denoiser priors. - Eric Wu; Nora Brackbill; Alexander Sher; Alan M. Litke; Eero P. Simoncelli; E. J. Chichilnisky (NeurIPS, 2022)

An RF-Ultrasound Relay for Adaptive Wireless Powering Across Tissue Interfaces. - Ernest So; Pyungwoo Yeon; E. J. Chichilnisky; Amin Arbabian (IEEE J. Solid State Circuits, 2022)

Partitioned Temporal Dithering for Efficient Epiretinal Electrical Stimulation. - Amrith Lotlikar; Nishal P. Shah; Alex R. Gogliettino; Ramandeep Vilkhu; Sasidhar Madugula; Lauren E. Grosberg; Pawel Hottowy; Alexander Sher; Alan M. Litke; E. J. Chichilnisky; Subhasish Mitra (NER, 2023)

Efficient Modeling and Calibration of Multi-Electrode Stimuli for Epiretinal Implants. - Praful K. Vasireddy; Alex R. Gogliettino; Jeff B. Brown; Ramandeep S. Vilkhu; Sasidhar Madugula; A. J. Phillips; Subhasish Mitra; Pawel Hottowy; Alexander Sher; Alan M. Litke; Nishal P. Shah; E. J. Chichilnisky (NER, 2023)

A 1024-Channel 268 nW/pixel 36x36 μm2/ch Data-Compressive Neural Recording IC for High-Bandwidth Brain-Computer Interfaces. - Moon Hyung Jang; Wei-Han Yu; Changuk Lee; Maddy Hays; Pingyu Wang; Nick Vitale; Pulkit Tandon; Pumiao Yan; Pui-In Mak; Youngcheol Chae; E. J. Chichilnisky; Boris Murmann; et al. (VLSI Technology and Circuits, 2023)

Data Compression Versus Signal Fidelity Tradeoff in Wired-OR Analog-to-Digital Compressive Arrays for Neural Recording. - Pumiao Yan; Arash Akhoundi; Nishal P. Shah; Pulkit Tandon; Dante G. Muratore; E. J. Chichilnisky; Boris Murmann (IEEE Trans. Biomed. Circuits Syst., 2023)

A 1024-Channel 268-nW/Pixel 36×36 μm2/Channel Data-Compressive Neural Recording IC for High-Bandwidth Brain-Computer Interfaces. - Moon Hyung Jang; Maddy Hays; Wei-Han Yu; Changuk Lee; Pietro Caragiulo; Athanasios T. Ramkaj; Pingyu Wang; A. J. Phillips; Nick Vitale; Pulkit Tandon; Pumiao Yan; Pui-In Mak; et al. (IEEE J. Solid State Circuits, 2024)

15.2 A 1024-Channel 0.00029mm2/ch 74nW/ch Online Spatial Spike-Sorting Chip with Event-Driven Spike Detection and Self-Organizing Map Clustering. - Arash Akhoundi; Yawende Landbrug; Pumiao Yan; E. J. Chichilnisky; Boris Murmann; Dante Gabriel Muratore (ISSCC, 2025)