5 papers
A Biconvex Formulation for Stable Transport of Mixture Models with a Unique Solution
Yeganeh Marghi, Kelly Jin, Uygar Sümbül
Optimal transport (OT) provides a principled framework for mapping between probability distributions. Despite extensive progress, applying OT to large-scale data remains computatio…
Identifying Connectivity Distributions from Neural Dynamics Using Flows
Timothy Doyeon Kim, Ulises Pereira-Obilinovic, Yiliu Wang +2
Connectivity structure shapes neural computation, but inferring this structure from population recordings is degenerate: multiple connectivity structures can generate identical dyn…
Interpretable time series analysis with Gumbel dynamics
Yiliu Wang, Timothy Doyeon Kim, Eric Shea-Brown +1
Switching dynamical systems can model complicated time series data while maintaining interpretability by inferring a finite set of dynamics primitives and explaining different port…
SPINT: Spatial Permutation-Invariant Neural Transformer for Consistent Intracortical Motor Decoding
Trung Le, Hao Fang, Jingyuan Li +5
Intracortical Brain-Computer Interfaces (iBCI) aim to decode behavior from neural population activity, enabling individuals with motor impairments to regain motor functions and com…
Efficient Connectivity-Preserving Instance Segmentation with Supervoxel-Based Loss Function
Anna Grim, Jayaram Chandrashekar, Uygar Sumbul
Reconstructing the intricate local morphology of neurons and their long-range projecting axons can address many connectivity related questions in neuroscience. The main bottleneck…