Spatio-temporal EEG models for brain interfaces (Gonzalez-Navarro et al, 2017)
In this paper we propose a structure for the covariance matrices of the multichannel EEG signals.
In this paper we propose a structure for the covariance matrices of the multichannel EEG signals.
In this manuscript, we develop a Monte Carlo-based probabilistic simulation framework for electroencephalography (EEG) based BCI design.
This investigation provides preliminary evidence of the relationship between image and message type for people with TBI.
The RERC on AAC partnered with three student engineering Learning Factory teams at Penn State University in the spring of 2017
Penn State News featured the RERC on AAC Doctoral Student Think Tank in a recent news story