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Fast deep learning correspondence for neuron tracking and identification in C.elegans using synthetic training


Jan 20, 2021
Xinwei Yu, Matthew S. Creamer, Francesco Randi, Anuj K. Sharma, Scott W. Linderman, Andrew M. Leifer

* 5 figures 

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Point process models for sequence detection in high-dimensional neural spike trains


Oct 10, 2020
Alex H. Williams, Anthony Degleris, Yixin Wang, Scott W. Linderman

* 24 pages, 5 figures 

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Unifying and generalizing models of neural dynamics during decision-making


Jan 13, 2020
David M. Zoltowski, Jonathan W. Pillow, Scott W. Linderman


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Poisson-Randomized Gamma Dynamical Systems


Oct 28, 2019
Aaron Schein, Scott W. Linderman, Mingyuan Zhou, David M. Blei, Hanna Wallach

* To appear in the Proceedings of the 32nd Advances in Neural Information Processing Systems (NeurIPS 2019) 

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Tree-Structured Recurrent Switching Linear Dynamical Systems for Multi-Scale Modeling


Dec 05, 2018
Josue Nassar, Scott W. Linderman, Monica Bugallo, Il Memming Park


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Variational Sequential Monte Carlo


Feb 21, 2018
Christian A. Naesseth, Scott W. Linderman, Rajesh Ranganath, David M. Blei


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Reparameterizing the Birkhoff Polytope for Variational Permutation Inference


Oct 26, 2017
Scott W. Linderman, Gonzalo E. Mena, Hal Cooper, Liam Paninski, John P. Cunningham


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Reparameterization Gradients through Acceptance-Rejection Sampling Algorithms


Mar 10, 2017
Christian A. Naesseth, Francisco J. R. Ruiz, Scott W. Linderman, David M. Blei


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Recurrent switching linear dynamical systems


Oct 26, 2016
Scott W. Linderman, Andrew C. Miller, Ryan P. Adams, David M. Blei, Liam Paninski, Matthew J. Johnson

* 15 pages, 6 figures 

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Bayesian latent structure discovery from multi-neuron recordings


Oct 26, 2016
Scott W. Linderman, Ryan P. Adams, Jonathan W. Pillow

* 11 pages, 5 figures, to appear in Advances in Neural Information Processing Systems 2016 

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Scalable Bayesian Inference for Excitatory Point Process Networks


Jul 12, 2015
Scott W. Linderman, Ryan P. Adams


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Dependent Multinomial Models Made Easy: Stick Breaking with the P贸lya-Gamma Augmentation


Jun 18, 2015
Scott W. Linderman, Matthew J. Johnson, Ryan P. Adams


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A Nonparametric Bayesian Approach to Uncovering Rat Hippocampal Population Codes During Spatial Navigation


Nov 27, 2014
Scott W. Linderman, Matthew J. Johnson, Matthew A. Wilson, Zhe Chen


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A framework for studying synaptic plasticity with neural spike train data


Nov 14, 2014
Scott W. Linderman, Christopher H. Stock, Ryan P. Adams

* Presented at Neural Information Processing Systems (NIPS) 2014 

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Discovering Latent Network Structure in Point Process Data


Feb 04, 2014
Scott W. Linderman, Ryan P. Adams


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