Professor

254 Princeton Neuroscience Institute

pillow@princeton.edu

Ph.D., New York University

Curriculum Vit? (87.19 KB)

Lab Website: http://pillowlab.princeton.edu

Summary My research sits at the interface between computational neuroscience and statistical machine learning. We develop statistical tools for making sense of high-dimensional neural datasets and seek to understand how neurons process and transmit information using spike trains. We collaborate closely with experimentalists to study neural encoding and decoding, and the transformation of neural representations between brain areas. We also develop models for the brain's ability to learn, perceive, and make decisions, and seek to uncover the theoretical principles governing the design of sensory systems.

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Representative Publications

Wu Anqi, Koyejo O, & Pillow JW (2019).?Dependent relevance determination for smooth and structured sparse regression.?Journal of Machine learning Research?20 (89): 1-43. [abs]
Zoltowski D, Latimer KW, Yates JL, Huk AC, & Pillow JW (2019).?Discrete stepping and nonlinear ramping dynamics underlie spiking responses of LIP neurons during decision-making.?Neuron?102(6):1249-1258. [abs]
Aoi M & Pillow JW (2018).?Model-based targeted dimensionality reduction for neuronal population data.?Advances in Neural Information Processing Systems?31, 6689-6698. [abs]
Charles AS, Park Mijung, Weller JP, Horwitz GD, & Pillow JW (2018).?Dethroning the Fano Factor: a flexible, model-based approach to partitioning neural variability.?Neural Computation?30(4):1012-1045. [abs]
Roy NA, Bak JH, Akrami A, Brody CD, & Pillow JW (2018).?Efficient inference for time-varying behavior during learning.?Advances in Neural Information Processing Systems?31, 5696-5706. [abs]
Zoltowski D & Pillow JW (2018).?Scaling the Poisson GLM to massive neural datasets through polynomial approximations.?Advances in Neural Information Processing Systems?31, 3521-3531. [abs]
Wu Anqi, Roy NA, Keeley S, & Pillow JW (2017).?Gaussian process based nonlinear latent structure discovery in multivariate spike train data?Advances in Neural Information Processing Systems?30, 3496-3505 [abs]
Yates JL, Park Il Memming, Katz LN, Pillow JW, & Huk AC (2017).?Functional dissection of signal and noise in MT and LIP during decision-making.?Nature Neuroscience?20, 1285-1292.
Weber AI & Pillow JW (2017).?Capturing the dynamical repertoire of single neurons with generalized linear models.?Neural Computation.
Bak JH, Choi JY, Akrami A, Witten IB, & Pillow JW (2016).?Adaptive optimal training of animal behavior.?Advances in Neural Information Processing Systems?29, 1947-1955.?
Latimer KL, Yates JL, Meister MLR, Huk AC, & Pillow JW (2015).?Single-trial spike trains in parietal cortex reveal discrete steps during decision-making.?Science?349(6244): 184-187.
Archer E, Park I, & Pillow JW (2014).?Bayesian Entropy Estimation for Countable Discrete Distributions.?Journal of Machine Learning Research?(accepted). [abstract]
Park M, Weller JP, Horwitz GD, & Pillow JW (2014).?Bayesian active learning of neural firing rate maps with transformed Gaussian process priors.?Neural Computation?26(8):1519-1541. [link]
Park Il?Memming,?Meister,?MLR,?Huk?AC, & Pillow?JW?(2014).?Encoding and decoding in parietal cortex during sensorimotor decision-making.?Nature Neuroscience?17, 1395-1403.