Transactions on Neural Systems and Rehabilitation Engineering

   Data-driven spatial filtering algorithms optimize scores, such as the contrast between two conditions to extract oscillatory brain signal components. Most machine learning approaches for the filter estimation, however, disregard within-trial temporal dynamics and are extremely sensitive to changes in training... Read more

Phillip J. Hendrickson, Gene J. Yu, Dong Song, and Theodore W. Berger, University of Southern California, USA Developing large-scale, quantitatively based models of neural systems has become a realizable goal in recent years, largely because of three major developments: (i) the accumulation... Read more

Abstract This paper presents the design and implementation of IsiMove, a new dynamic posturography platform. It allows the evaluation of the static and dynamic balance of a human placed on a force plate. IsiMove is a robotic platform open kinematic with... Read more