Jonathan 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 Learning
Website:
http://pillowlab.princeton.edu/
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"Jonathan Pillow"
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SNBCP

Parents

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Rich 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

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Lea Duncker research assistant 2015-2016 Princeton
Camille Rullan research assistant 2016-2017 Princeton
Kevin S. Chen grad student 2018- Princeton
Yoel Sanchez Araujo grad student 2019- Princeton
Victor Geadah grad student 2021- Princeton
Yousuf El-Jayyousi grad student 2022- Princeton
Bichan Wu grad student 2022- Princeton
Anushri Arora grad student 2023- 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
Mike Morais grad student 2016-2021 Princeton
David Zoltowski grad student 2017-2022 Princeton
Zoe Ashwood grad student 2018-2022 Princeton
Iris Stone grad student 2018-2023 Princeton
Aditi Jha grad student 2019-2024 Princeton
Matthew Creamer post-doc 2019- Princeton
Rich Pang post-doc 2020- Princeton
Dean Abraham Pospisil post-doc 2021- Princeton
Alexander J. Riordan post-doc 2022- Princeton
Anuththara Rupasinghe post-doc 2022- Princeton
Il Memming Park post-doc 2010-2014 UT Austin
Adam Charles post-doc 2015-2019 Princeton
Mikio Aoi post-doc 2015-2020 Princeton
Stephen Keeley post-doc 2018-2020 Princeton
Abigail A Russo post-doc 2019-2020 Princeton
Brian D. DePasquale post-doc 2016-2022 Princeton
Ben Cowley post-doc 2018-2022 Princeton
BETA: Related publications

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
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