John S. Choi — accepted AI-conference papers

2020

Deep James-Stein Neural Networks For Brain-Computer Interfaces

Marko Angjelichinoski, Mohammadreza Soltani, John S. Choi, Bijan Pesaran, Vahid Tarokh

ICASSP 2020accepted

Nonparametric regression has proven to be successful in extracting features from limited data in neurological applications. However, due to data scarcity, most brain-computer interfaces still rely on linear classifiers. This work leverages the robustness of the James-Stein theorem in nonparametric r…

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2018

Wavelet Shrinkage and Thresholding Based Robust Classification for Brain-Computer Interface

Taposh Banerjee, John S. Choi, Bijan Pesaran, Demba E. Ba, Vahid Tarokh

ICASSP 2018accepted

A macaque monkey is trained to perform two different kinds of tasks, memory aided and visually aided. In each task, the monkey saccades to eight possible target locations. A classifier is proposed for direction decoding and task decoding based on local field potentials (LFP) collected from the prefr…

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