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 LearningWebsite:
http://pillowlab.princeton.edu/Google:
"Jonathan Pillow"Mean distance: 13.82 (cluster 17) | S | N | B | C | P |
Parents
Sign in to add mentor| 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
Sign in to add trainee| 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 |
Collaborators
Sign in to add collaborator| E. 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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| Pagan M, Tang VD, Aoi MC, et al. (2024) Individual variability of neural computations underlying flexible decisions. Nature |
| Jha A, Gupta D, Brody CD, et al. (2024) Disentangling the Roles of Distinct Cell Classes with Cell-Type Dynamical Systems. Biorxiv : the Preprint Server For Biology |
| Pan-Vazquez A, Sanchez Araujo Y, McMannon B, et al. (2024) Pre-existing visual responses in a projection-defined dopamine population explain individual learning trajectories. Current Biology : Cb |
| Geadah V, Barello G, Greenidge D, et al. (2024) Sparse-Coding Variational Autoencoders. Neural Computation. 1-31 |
| Pospisil DA, Aragon MJ, Dorkenwald S, et al. (2024) The fly connectome reveals a path to the effectome. Nature. 634: 201-209 |
| DePasquale B, Brody CD, Pillow JW. (2024) Neural population dynamics underlying evidence accumulation in multiple rat brain regions. Elife. 13 |
| 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 |