Jonathan Pillow
Jonathan Pillow
Professor of Neuroscience & Psychology, Princeton University
Verified email at princeton.edu - Homepage
Title
Cited by
Cited by
Year
Spatio-temporal correlations and visual signalling in a complete neuronal population
JW Pillow, J Shlens, L Paninski, A Sher, AM Litke, EJ Chichilnisky, ...
Nature 454 (7207), 995-999, 2008
10952008
Spike-triggered neural characterization
O Schwartz, JW Pillow, NC Rust, EP Simoncelli
Journal of Vision 6 (4), 2006
3902006
Prediction and decoding of retinal ganglion cell responses with a probabilistic spiking model
JW Pillow, L Paninski, VJ Uzzell, EP Simoncelli, EJ Chichilnisky
The Journal of Neuroscience 25 (47), 11003-11013, 2005
3452005
Characterization of neural responses with stochastic stimuli
EP Simoncelli, L Paninski, JW Pillow, O Schwartz
The cognitive neurosciences 3, 327-338, 2004
317*2004
Maximum likelihood estimation of a stochastic integrate-and-fire neural encoding model
L Paninski, JW Pillow, EP Simoncelli
Neural computation 16 (12), 2533-2561, 2004
291*2004
Statistical models for neural encoding, decoding, and optimal stimulus design
L Paninski, JW Pillow, J Lewi
Progress in brain research 165, 493-507, 2007
2422007
Single-trial spike trains in parietal cortex reveal discrete steps during decision-making
KW Latimer, JL Yates, MLR Meister, AC Huk, JW Pillow
Science 349 (6244), 184-187, 2015
1922015
Discovering event structure in continuous narrative perception and memory
C Baldassano, J Chen, A Zadbood, JW Pillow, U Hasson, KA Norman
Neuron 95 (3), 709-721, 2017
1752017
Dissociated functional significance of decision-related activity in the primate dorsal stream
LN Katz, JL Yates, JW Pillow, AC Huk
Nature 535 (7611), 285-288, 2016
1532016
Dimensionality reduction in neural models: an information-theoretic generalization of spike-triggered average and covariance analysis
JW Pillow, EP Simoncelli
Journal of Vision 6 (4), 2006
1472006
Model-based decoding, information estimation, and change-point detection techniques for multineuron spike trains
JW Pillow, Y Ahmadian, L Paninski
Neural Computation 23 (1), 1-45, 2011
1382011
Encoding and decoding in parietal cortex during sensorimotor decision-making
IM Park, MLR Meister, AC Huk, JW Pillow
Nature neuroscience 17 (10), 1395, 2014
1292014
Modeling the impact of common noise inputs on the network activity of retinal ganglion cells
M Vidne, Y Ahmadian, J Shlens, JW Pillow, J Kulkarni, AM Litke, ...
Journal of computational neuroscience 33 (1), 97-121, 2012
108*2012
Perceptual completion across the vertical meridian and the role of early visual cortex
JW Pillow, N Rubin
Neuron 33 (5), 805-813, 2002
992002
A Model-Based Spike Sorting Algorithm for Removing Correlation Artifacts in Multi-Neuron Recordings
JW Pillow, J Shlens, EJ Chichilnisky, EP Simoncelli
PLoS ONE 8 (5), 1-15, 2013
972013
Computational approaches to fMRI analysis
JD Cohen, N Daw, B Engelhardt, U Hasson, K Li, Y Niv, KA Norman, ...
Nature neuroscience 20 (3), 304, 2017
942017
Efficient Markov chain Monte Carlo methods for decoding neural spike trains
Y Ahmadian, JW Pillow, L Paninski
Neural Computation 23 (1), 46-96, 2011
86*2011
Biases in white noise analysis due to non-Poisson spike generation
JW Pillow, EP Simoncelli
Neurocomputing 52, 109-115, 2003
862003
Receptive Field Inference with Localized Priors
M Park, JW Pillow
PLoS Computational Biology 7 (10), e1002219, 2011
662011
Combined social and spatial coding in a descending projection from the prefrontal cortex
M Murugan, HJ Jang, M Park, EM Miller, J Cox, JP Taliaferro, NF Parker, ...
Cell 171 (7), 1663-1677. e16, 2017
652017
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