Sparsity-promoting optimal control of spatially-invariant systems. - David M. Zoltowski; Neil K. Dhingra; Fu Lin; Mihailo R. Jovanovic (ACC, 2014)

A graph theoretic approach to dynamic functional connectivity tracking and network state identification. - David M. Zoltowski; Edward M. Bernat; Selin Aviyente (EMBC, 2014)

Low-rank tensor decomposition based dynamic network tracking. - David M. Zoltowski; Selin Aviyente (GlobalSIP, 2014)

A Tensor Decomposition-Based Approach for Detecting Dynamic Network States From EEG. - Arash Golibagh Mahyari; David M. Zoltowski; Edward M. Bernat; Selin Aviyente (IEEE Trans. Biomed. Eng., 2017)

Scaling the Poisson GLM to massive neural datasets through polynomial approximations. - David M. Zoltowski; Jonathan W. Pillow (NeurIPS, 2018)

Efficient non-conjugate Gaussian process factor models for spike count data using polynomial approximations. - Stephen L. Keeley; David M. Zoltowski; Yiyi Yu; Jacob L. Yates; Spencer L. Smith; Jonathan W. Pillow (CoRR, 2019)

Efficient Non-conjugate Gaussian Process Factor Models for Spike Count Data using Polynomial Approximations. - Stephen L. Keeley; David M. Zoltowski; Yiyi Yu; Spencer L. Smith; Jonathan W. Pillow (ICML, 2020)

A general recurrent state space framework for modeling neural dynamics during decision-making. - David M. Zoltowski; Jonathan W. Pillow; Scott W. Linderman (ICML, 2020)

Neural Latents Benchmark '21: Evaluating latent variable models of neural population activity. - Felix Pei; Joel Ye; David M. Zoltowski; Anqi Wu; Raeed H. Chowdhury; Hansem Sohn; Joseph E. O'Doherty; Krishna V. Shenoy; Matthew T. Kaufman; Mark M. Churchland; Mehrdad Jazayeri; Lee E. Miller; et al. (NeurIPS Datasets and Benchmarks, 2021)

Slice Sampling Reparameterization Gradients. - David M. Zoltowski; Diana Cai; Ryan P. Adams (NeurIPS, 2021)

Modeling state-dependent communication between brain regions with switching nonlinear dynamical systems. - Orren Karniol-Tambour; David M. Zoltowski; E. Mika Diamanti; Lucas Pinto; Carlos D. Brody; David W. Tank; Jonathan W. Pillow (ICLR, 2024)

Structured flexibility in recurrent neural networks via neuromodulation. - Julia Costacurta; Shaunak Bhandarkar; David M. Zoltowski; Scott W. Linderman (NeurIPS, 2024)

Modeling Latent Neural Dynamics with Gaussian Process Switching Linear Dynamical Systems. - Amber Hu; David M. Zoltowski; Aditya Nair; David Anderson; Lea Duncker; Scott W. Linderman (NeurIPS, 2024)

Brain-to-Text Benchmark '24: Lessons Learned. - Francis R. Willett; Jingyuan Li; Trung Le 002; Chaofei Fan; Mingfei Chen; Eli Shlizerman; Yue Chen; Xin Zheng; Tatsuo S. Okubo; Tyler Benster; Hyun Dong Lee; Maxwell Kounga; et al. (CoRR, 2024)