Jonathan W. Pillow, Ph.D.
Affiliations: | 2009-2014 | Psychology | University of Texas at Austin, Austin, Texas, U.S.A. |
2014- | Princeton Neuroscience Institute | Princeton University, Princeton, NJ |
Area:
Computational Neuroscience, Machine LearningWebsite:
http://pillowlab.princeton.edu/Google:
"Jonathan Pillow"Mean distance: 13.82 (cluster 17) | S | N | B | C | P |
Parents
Sign in to add mentorRich S. Zemel | research assistant | University of Arizona | ||
Eero P. Simoncelli | grad student | 2001-2005 | Princeton | |
(Neural coding and the statistical modeling of neuronal responses.) | ||||
Peter Latham | post-doc | 2005-2008 | Gatsby Computational Neuroscience Unit |
Children
Sign in to add traineeLea Duncker | research assistant | 2015-2016 | Princeton |
Yoel Sanchez Araujo | grad student | Princeton | |
Mike Morais | grad student | 2016- | Princeton |
David Zoltowski | grad student | 2017- | Princeton |
Zoe Ashwood | grad student | 2018- | Princeton |
Kevin S. Chen | grad student | 2018- | Princeton |
Iris Stone | grad student | 2018- | Princeton |
Mijung Park | grad student | 2009-2013 | UT Austin |
Kenneth W. Latimer | grad student | 2011-2015 | UT Austin |
Jacob Yates | grad student | 2011-2016 | UT Austin |
Ji Hyun Bak | grad student | 2015-2016 | Princeton |
Anqi Wu | grad student | 2014-2019 | Princeton |
Nick A Roy | grad student | 2015-2020 | Princeton |
Mikio Aoi | post-doc | Princeton | |
Anuththara Rupasinghe | post-doc | Princeton | |
Adam Charles | post-doc | 2015- | Princeton |
Brian D. DePasquale | post-doc | 2016- | Princeton |
Ben Cowley | post-doc | 2018- | Princeton |
Abigail A Russo | post-doc | 2019- | Princeton |
Dean Abraham Pospisil | post-doc | 2021- | Princeton |
Alexander J. Riordan | post-doc | 2022- | Princeton |
Il Memming Park | post-doc | 2010-2014 | UT Austin |
Stephen Keeley | post-doc | 2018-2020 | Princeton |
Collaborators
Sign in to add collaboratorE. J. Chichilnisky | collaborator | NYU | |
Amelia J. Christensen | collaborator | Princeton | |
Gregory D. Horwitz | collaborator | ||
Alex C. Huk | collaborator | UT Austin | |
Samuel A. Nastase | collaborator | Princeton | |
Spencer L. Smith | collaborator |
BETA: Related publications
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Publications
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Jha A, Ashwood ZC, Pillow JW. (2024) Active Learning for Discrete Latent Variable Models. Neural Computation. 36: 437-474 |
Greenidge CD, Scholl B, Yates JL, et al. (2023) Efficient Decoding of Large-Scale Neural Population Responses With Gaussian-Process Multiclass Regression. Neural Computation. 1-35 |
Cowley BR, Stan PL, Pillow JW, et al. (2023) Compact deep neural network models of visual cortex. Biorxiv : the Preprint Server For Biology |
Kim TD, Luo TZ, Can T, et al. (2023) Flow-field inference from neural data using deep recurrent networks. Biorxiv : the Preprint Server For Biology |
Chen KS, Pillow JW, Leifer AM. (2023) Olfactory learning alters navigation strategies and behavioral variability in C. elegans. Arxiv |
Pospisil D, Aragon M, Pillow J. (2023) From connectome to effectome: learning the causal interaction map of the fly brain. Biorxiv : the Preprint Server For Biology |
Hyafil A, de la Rocha J, Pericas C, et al. (2023) Temporal integration is a robust feature of perceptual decisions. Elife. 12 |
Duncker L, Ruda KM, Field GD, et al. (2023) Scalable Variational Inference for Low-Rank Spatiotemporal Receptive Fields. Neural Computation. 1-33 |
Ashwood ZC, Roy NA, Bak JH, et al. (2022) Inferring learning rules from animal decision-making. Advances in Neural Information Processing Systems. 33: 3442-3453 |
Creamer MS, Chen KS, Leifer AM, et al. (2022) Correcting motion induced fluorescence artifacts in two-channel neural imaging. Plos Computational Biology. 18: e1010421 |