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
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…
eess.SP2020
Statistical Properties of a Modified Welch Method That Uses Sample Percentiles
Felix Schwock, Shima Abadi
We present and analyze an alternative, more robust approach to the Welch's overlapped segment averaging (WOSA) spectral estimator. Our method computes sample percentiles instead of…