Composing graphical models with neural networks for structured representations and fast inference. - Matthew J. Johnson 002; David Duvenaud; Alexander B. Wiltschko; Ryan P. Adams; Sandeep R. Datta (NIPS, 2016)

Learning a latent manifold of odor representations from neural responses in piriform cortex. - Anqi Wu; Stan L. Pashkovski; Sandeep R. Datta; Jonathan W. Pillow (NeurIPS, 2018)

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

Structure and flexibility in cortical representations of odour space. - Stan L. Pashkovski; Giuliano Iurilli; David Brann; Daniel Chicharro; Kristen Drummey; Kevin Franks; Stefano Panzeri; Sandeep R. Datta (Nat., 2020)

Distinguishing discrete and continuous behavioral variability using warped autoregressive HMMs. - Julia Costacurta; Lea Duncker; Blue Sheffer; Winthrop Gillis; Caleb Weinreb; Jeffrey E. Markowitz; Sandeep R. Datta; Alex H. Williams; Scott W. Linderman (NeurIPS, 2022)

Systems Neuro Browser (SNUB). - Caleb Weinreb; Mohammed Abdal Monium Osman; Maya Jay; Sandeep R. Datta (J. Open Source Softw., 2024)