6 citations · 9 across the 3 of their papers we have counts for
3 papers
Predictability Enables Parallelization of Nonlinear State Space Models
Xavier Gonzalez, Leo Kozachkov, David M. Zoltowski +2
The rise of parallel computing hardware has made it increasingly important to understand which nonlinear state space models can be efficiently parallelized. Recent advances like DE…
Unifying and generalizing models of neural dynamics during decision-making
David M. Zoltowski, Jonathan W. Pillow, Scott W. Linderman
An open question in systems and computational neuroscience is how neural circuits accumulate evidence towards a decision. Fitting models of decision-making theory to neural activit…
Efficient non-conjugate Gaussian process factor models for spike count data using polynomial approximations
Stephen L. Keeley, David M. Zoltowski, Yiyi Yu +3
Gaussian Process Factor Analysis (GPFA) has been broadly applied to the problem of identifying smooth, low-dimensional temporal structure underlying large-scale neural recordings.…