Jonathan W. Pillow, Ph.D.

2009-2014 Psychology University of Texas at Austin, Austin, Texas, U.S.A. 
 2014- Princeton Neuroscience Institute Princeton University, Princeton, NJ 
Computational Neuroscience, Machine Learning
"Jonathan Pillow"
Mean distance: 13.82 (cluster 17)


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


Sign in to add trainee
Lea 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
BETA: Related publications


You can help our author matching system! If you notice any publications incorrectly attributed to this author, please sign in and mark matches as correct or incorrect.

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
Christensen AJ, Pillow JW. (2022) Reduced neural activity but improved coding in rodent higher-order visual cortex during locomotion. Nature Communications. 13: 1676
Gauthier JL, Koay SA, Nieh EH, et al. (2022) Detecting and correcting false transients in calcium imaging. Nature Methods. 19: 470-478
Bolkan SS, Stone IR, Pinto L, et al. (2022) Opponent control of behavior by dorsomedial striatal pathways depends on task demands and internal state. Nature Neuroscience. 25: 345-357
Ashwood ZC, Roy NA, Stone IR, et al. (2022) Mice alternate between discrete strategies during perceptual decision-making. Nature Neuroscience. 25: 201-212
Wu A, Nastase SA, Baldassano CA, et al. (2021) Brain kernel: a new spatial covariance function for fMRI data. Neuroimage. 118580
Song A, Gauthier JL, Pillow JW, et al. (2021) Neural Anatomy and Optical Microscopy (NAOMi) Simulation for evaluating calcium imaging methods. Journal of Neuroscience Methods. 109173
See more...