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,... Read more

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... Read more

     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... Read more