3 papers
cs.LG2026
Robust Neural Stimulation Response Modeling Through Meta-Learning and Pretraining
Matthew J Bryan, Daniel C Muir, Felix Schwock +2
Objective: Model-based closed-loop neural stimulation holds promise for therapeutic applications ranging from Parkinson's disease to sensory restoration, but deployment has been li…
cs.LG2025
Supervised Stochastic Gradient Algorithms for Multi-Trial Source Separation
Ronak Mehta, Mateus Piovezan Otto, Noah Stanis +2
We develop a stochastic algorithm for independent component analysis that incorporates multi-trial supervision, which is available in many scientific contexts. The method blends a…
cs.LG2025
Temporal Basis Function Models for Closed-Loop Neural Stimulation
Matthew J. Bryan, Felix Schwock, Azadeh Yazdan-Shahmorad +1
Closed-loop neural stimulation provides novel therapies for neurological diseases such as Parkinson's disease (PD), but it is not yet clear whether artificial intelligence (AI) tec…