12 citations · 12 across the 4 of their papers we have counts for
5 papers
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…
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…
Complex Clipping for Improved Generalization in Machine Learning
Les Atlas, Nicholas Rasmussen, Felix Schwock +1
For many machine learning applications, a common input representation is a spectrogram. The underlying representation for a spectrogram is a short time Fourier transform (STFT) whi…
Estimating and Analyzing Neural Information Flow Using Signal Processing on Graphs
Felix Schwock, Julien Bloch, Les Atlas +2
Correlating neural communication in brain networks with behavior and cognition can provide fundamental insights into the functionality of both healthy and diseased brains. We demon…
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…