Jerry J. Shih

Interpretation of Convolutional Neural Networks for Speech Regression from Electrocorticography

Tanja Schultz, Dean J. Krusienski, Miguel Angrick, 2018, ESANN.

Signals from intraventricular depth electrodes can control a brain–computer interface

Dean J. Krusienski, Jerry J. Shih, D. Krusienski, 2012, Journal of Neuroscience Methods.

Interpretation of convolutional neural networks for speech spectrogram regression from intracranial recordings

Tanja Schultz, Dean J. Krusienski, Miguel Angrick, 2019, Neurocomputing.

Control of a Brain-Computer Interface Using Intracranial Electrodes

Dean J. Krusienski, Jerry J. Shih, 2011 .

Spectral components of the P300 speller response in and adjacent to the hippocampus

Dean J. Krusienski, Jerry J. Shih, D. Krusienski, 2012, 2012 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

Towards direct speech synthesis from ECoG: A pilot study

Tanja Schultz, Dean J. Krusienski, Christian Herff, 2016, 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Speech Activity Detection from Stereotactic EEG

Dean J. Krusienski, Miguel Angrick, Jerry J. Shih, 2021, 2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

Long-Term Measurement of Impedance in Chronically Implanted Depth and Subdural Electrodes During Responsive Neurostimulation in Humans

Greg Worrell, Jerry J. Shih, Karl A. Sillay, 2013, Brain Stimulation.

Comparison of the Checkerboard P300 Speller vs. the Row-Column Speller in Normal Elderly and an Aphasic Stroke Population (S21.006)

Dean J. Krusienski, Jerry J. Shih, James F. Meschia, 2014 .

Genome-wide mega-analysis identifies 16 loci and highlights diverse biological mechanisms in the common epilepsies

Christian Gieger, Norman Delanty, Ellen Campbell, 2018, Nature Communications.