Publications

International Brain Laboratory, Kush Banga, Julius Benson, Jai Bhagat, Dan Biderman (2023). Reproducibility of in-vivo electrophysiological measurements in mice. bioRxiv 2023 (under review).

Dan Biderman, Matthew R Whiteway, Cole Hurwitz, Nicholas Greenspan, Many others, John P. Cunningham, Nathaniel Sawtell, Liam Paninski (2023). Lightning Pose: improved animal pose estimation via semi-supervised learning, Bayesian ensembling, and cloud-native open-source tools. Under review.

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Matthew Whiteway, Dan Biderman, others, John P. Cunningham, Liam Paninski (2021). Partitioning variability in animal behavioral videos using semi-supervised variational autoencoders. In PLoS Comp. Biol.

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Andres Potapczynski, Luhuan Wu, Dan Biderman, Geoff Pleiss, John P. Cunningham (2021). Bias-Free Scalable Gaussian Processes via Randomized Truncations. In ICML 2021.

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Dan Biderman, Christian Naesseth, Luhuan Wu, Taiga Abe, Alice Mosberger, Leslie Sibener, Rui Costa, James Murray, John P. Cunningham (2020). Inverse Articulated-Body Dynamics from Video via Variational Sequential Monte Carlo. In NeurIPS DiffCVGP 2020 (Oral).

Dan Biderman, Yarden Shir, Liad Mudrik (2020). B or 13? Unconscious Top-Down Contextual Effects at the Categorical but Not the Lexical Level. In Psychological Science.

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Eleanor Batty, Matthew Whiteway, Shreya Saxena, Dan Biderman, Taiga Abe, Simon Musall, Winthrop Gillis, Jeffrey Markowitz, Anne Churchland, John P. Cunningham, Sandeep R. Datta, Scott Linderman, Liam Paninski (2019). BehaveNet: nonlinear embedding and Bayesian neural decoding of behavioral videos. In NeurIPS 2019.

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Dan Biderman, Natalie Biderman, Alon Zivony, Dominique Lamy (2017). Contingent Capture Is Weakened in Search for Multiple Features From Different Dimensions. In JEP HPP.

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