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2020 – today
- 2024
[j9]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, Youngcheol Chae, E. J. Chichilnisky, Boris Murmann, Dante G. Muratore:
A 1024-Channel 268-nW/Pixel 36×36 μm2/Channel Data-Compressive Neural Recording IC for High-Bandwidth Brain-Computer Interfaces. IEEE J. Solid State Circuits 59(4): 1123-1136 (2024)- 2023
- [j8]Pumiao Yan, Arash Akhoundi, Nishal P. Shah, Pulkit Tandon, Dante G. Muratore, E. J. Chichilnisky, Boris Murmann:
Data Compression Versus Signal Fidelity Tradeoff in Wired-OR Analog-to-Digital Compressive Arrays for Neural Recording. IEEE Trans. Biomed. Circuits Syst. 17(4): 754-767 (2023) - [c17]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:
Partitioned Temporal Dithering for Efficient Epiretinal Electrical Stimulation. NER 2023: 1-5 - [c16]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:
Efficient Modeling and Calibration of Multi-Electrode Stimuli for Epiretinal Implants. NER 2023: 1-4 - [c15]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, Dante G. Muratore:
A 1024-Channel 268 nW/pixel 36x36 μm2/ch Data-Compressive Neural Recording IC for High-Bandwidth Brain-Computer Interfaces. VLSI Technology and Circuits 2023: 1-2 - 2022
- [j7]Ernest So, Pyungwoo Yeon, E. J. Chichilnisky, Amin Arbabian:
An RF-Ultrasound Relay for Adaptive Wireless Powering Across Tissue Interfaces. IEEE J. Solid State Circuits 57(11): 3429-3441 (2022) - [c14]Pumiao Yan, Nishal P. Shah, Dante G. Muratore, Pulkit Tandon, E. J. Chichilnisky, Boris Murmann:
Data Compression versus Signal Fidelity Trade-off in Wired-OR ADC Arrays for Neural Recording. BioCAS 2022: 80-84 - [c13]Eric Wu, Nora Brackbill, Alexander Sher, Alan M. Litke, Eero P. Simoncelli, E. J. Chichilnisky:
Maximum a posteriori natural scene reconstruction from retinal ganglion cells with deep denoiser priors. NeurIPS 2022 - 2021
- [j6]Young Joon Kim, Nora Brackbill, Eleanor Batty, Jin Hyung Lee, Catalin Mitelut, William Tong, E. J. Chichilnisky, Liam Paninski:
Nonlinear Decoding of Natural Images From Large-Scale Primate Retinal Ganglion Recordings. Neural Comput. 33(7): 1719-1750 (2021) - [c12]Ernest So, Pyungwoo Yeon, E. J. Chichilnisky, Amin Arbabian:
An RF-Ultrasound Relay for Powering Deep Implants Across Air-Tissue Interfaces with a Multi-Output Regulating Rectifier and Ultrasound Beamforming. VLSI Circuits 2021: 1-2
2010 – 2019
- 2019
- [j5]Dante Gabriel Muratore, Pulkit Tandon, Mary Wootters, E. J. Chichilnisky, Subhasish Mitra, Boris Murmann:
A Data-Compressive Wired-OR Readout for Massively Parallel Neural Recording. IEEE Trans. Biomed. Circuits Syst. 13(6): 1128-1140 (2019) - [c11]Dante G. Muratore, Pulkit Tandon, Mary Wootters, E. J. Chichilnisky, Subhasish Mitra, Boris Murmann:
A Data-Compressive Wired-OR Readout for Massively Parallel Neural Recording. ISCAS 2019: 1-5 - [c10]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:
Optimization of Electrical Stimulation for a High-Fidelity Artificial Retina. NER 2019: 714-718 - [c9]Nishal P. Shah, Sasidhar Madugula, Pawel Hottowy, Alexander Sher, Alan M. Litke, Liam Paninski, E. J. Chichilnisky:
Efficient characterization of electrically evoked responses for neural interfaces. NeurIPS 2019: 14421-14431 - 2018
- [c8]Nishal P. Shah, Sasidhar Madugula, E. J. Chichilnisky, Yoram Singer, Jonathon Shlens:
Learning a neural response metric for retinal prosthesis. ICLR (Poster) 2018 - 2017
- [j4]Gonzalo E. Mena, Lauren E. Grosberg, Sasidhar Madugula, Pawel Hottowy, Alan M. Litke, John P. Cunningham, E. J. Chichilnisky, Liam Paninski:
Electrical stimulus artifact cancellation and neural spike detection on large multi-electrode arrays. PLoS Comput. Biol. 13(11) (2017) - [c7]Eleanor Batty, Josh Merel, Nora Brackbill, Alexander Heitman, Alexander Sher, Alan M. Litke, E. J. Chichilnisky, Liam Paninski:
Multilayer Recurrent Network Models of Primate Retinal Ganglion Cell Responses. ICLR (Poster) 2017 - [c6]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:
YASS: Yet Another Spike Sorter. NIPS 2017: 4002-4012 - [c5]Nikhil Parthasarathy, Eleanor Batty, William Falcon, Thomas Rutten, Mohit Rajpal, E. J. Chichilnisky, Liam Paninski:
Neural Networks for Efficient Bayesian Decoding of Natural Images from Retinal Neurons. NIPS 2017: 6434-6445 - 2015
- [c4]Emile Richard, Georges Goetz, E. J. Chichilnisky:
Recognizing retinal ganglion cells in the dark. NIPS 2015: 2476-2484 - 2014
- [c3]Kenneth W. Latimer, E. J. Chichilnisky, Fred Rieke, Jonathan W. Pillow:
Inferring synaptic conductances from spike trains with a biophysically inspired point process model. NIPS 2014: 954-962 - 2012
- [j3]Michael Vidne, Yashar Ahmadian, Jonathon Shlens, Jonathan W. Pillow, Jayant Kulkarni, Alan M. Litke, E. J. Chichilnisky, Eero P. Simoncelli, Liam Paninski:
Modeling the impact of common noise inputs on the network activity of retinal ganglion cells. J. Comput. Neurosci. 33(1): 97-121 (2012)
2000 – 2009
- 2007
- [j2]Jonathon Shlens, Matthew B. Kennel, Henry D. I. Abarbanel, E. J. Chichilnisky:
Estimating Information Rates with Confidence Intervals in Neural Spike Trains. Neural Comput. 19(7): 1683-1719 (2007) - 2005
- [j1]Matthew B. Kennel, Jonathon Shlens, Henry D. I. Abarbanel, E. J. Chichilnisky:
Estimating Entropy Rates with Bayesian Confidence Intervals. Neural Comput. 17(7): 1531-1576 (2005) - 2001
- [c2]Odelia Schwartz, E. J. Chichilnisky, Eero P. Simoncelli:
Characterizing Neural Gain Control using Spike-triggered Covariance. NIPS 2001: 269-276
1990 – 1999
- 1994
- [c1]Brian A. Wandell, E. J. Chichilnisky:
Color Appearance in Images Measurements and Musings. CIC 1994: 1-4
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