
Jose C. Principe
Fellow, IEEE. Department of Electrical and Computer Engineering, University of Florida, Gainesville, FL, 32611, USA.
Associated articles
TBME, Featured Articles
Tracking Neural Modulation Depth by Dual Sequential Monte Carlo Estimation on Point Processes for Brain Machine Interfaces
Yiwen Wang, Xiwei She, Yuxi Liao, Hongbao Li, Qiaosheng Zhang, Shaomin Zhang, Xiaoxiang Zheng, Jose C. Principe
Yiwen Wang, Xiwei She, Yuxi Liao, Hongbao Li, Qiaosheng Zhang, Shaomin Zhang, Xiaoxiang Zheng and Jose Principe. Zhejiang University and University of Florida
Classic Brain Machine Interface (BMI) approaches decode neural signals from the brain responsible for achieving specific motor movements,...
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Posted on 31 JUL 2016
TBME, Featured Articles, Special Issue: BRAIN
Learning Recurrent Waveforms within EEGs
Austin J. Brockmeier, Jose C. Principe, University of Liverpool, UK, University of Florida, USA
When experts analyze EEGs they look for landmarks in the traces corresponding to established waveform patterns, such as phasic events of particular frequency or morphology. Lengthy records motivate automated analysis...
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Posted on 26 DEC 2015
TNSRE, Featured Articles
Clustering Neural Patterns in Kernel Reinforcement Learning Assists Fast Brain Control in Brain-Machine Interfaces
Neuroprosthesis enables the brain control on the external devices purely using neural activity for paralyzed people. Supervised learning decoders recalibrate or re-fit the discrepancy between the desired target and decoder’s output, where the correction may over-dominate the user’s intention. Reinforcement...
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Posted on 25 SEP 2019