David M. Zoltowski
David M. Zoltowski
Підтверджена електронна адреса в princeton.edu - Домашня сторінка
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Посилання
Рік
A tensor decomposition-based approach for detecting dynamic network states from EEG
AG Mahyari, DM Zoltowski, EM Bernat, S Aviyente
IEEE Transactions on Biomedical Engineering 64 (1), 225-237, 2016
442016
Discrete stepping and nonlinear ramping dynamics underlie spiking responses of LIP neurons during decision-making
DM Zoltowski, KW Latimer, JL Yates, AC Huk, JW Pillow
Neuron 102 (6), 1249-1258. e10, 2019
262019
Sparsity-promoting optimal control of spatially-invariant systems
DM Zoltowski, N Dhingra, F Lin, MR Jovanović
2014 American Control Conference, 1255-1260, 2014
182014
Scaling the Poisson GLM to massive neural datasets through polynomial approximations
DM Zoltowski, JW Pillow
Advances in Neural Information Processing Systems, 3521-3531, 2018
172018
Modeling statistical dependencies in multi-region spike train data
SL Keeley, DM Zoltowski, MC Aoi, JW Pillow
Current Opinion in Neurobiology, 2020
82020
A general recurrent state space framework for modeling neural dynamics during decision-making
DM Zoltowski, JW Pillow, SW Linderman
Proceedings of the International Conference on Machine Learning (ICML), 2983 …, 2020
62020
A graph theoretic approach to dynamic functional connectivity tracking and network state identification
DM Zoltowski, EM Bernat, S Aviyente
2014 36th Annual International Conference of the IEEE Engineering in …, 2014
62014
Efficient non-conjugate Gaussian process factor models for spike count data using polynomial approximations
S Keeley, D Zoltowski, Y Yu, S Smith, J Pillow
International Conference on Machine Learning, 5177-5186, 2020
22020
Unifying and generalizing models of neural dynamics during decision-making
DM Zoltowski, JW Pillow, SW Linderman
arXiv preprint arXiv:2001.04571, 2020
22020
Low-rank tensor decomposition based dynamic network tracking
DM Zoltowski, S Aviyente
2014 IEEE Global Conference on Signal and Information Processing (GlobalSIP …, 2014
22014
Neural Latents Benchmark'21: Evaluating latent variable models of neural population activity
F Pei, J Ye, D Zoltowski, A Wu, RH Chowdhury, H Sohn, JE O'Doherty, ...
arXiv preprint arXiv:2109.04463, 2021
2021
Neural Latents Benchmark ‘21: Benchmarking latent variable models of neural population activity
FC Pei, J Ye, DM Zoltowski, A Wu, RH Chowdhury, H Sohn, JE O'Doherty, ...
2021
Slice Sampling Reparameterization Gradients
DM Zoltowski, D Cai, RP Adams
Third Symposium on Advances in Approximate Bayesian Inference, 2020
2020
Sparsity-promoting
DM Zoltowski, N Dhingra, F Lin, MR Jovanović
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