Advances in Neural Signal Processing

Abstract

Neural signal processing is a specialized area of signal processing that is aimed at extracting information or decoding intent from neural signals recorded from the central or peripheral nervous system.In this book, readers will find chapters on three major applications of neural signal processing methodologies in basic science research and neuroprosthetic and clinical applications. Basic science research includes modeling zinc dynamics in hippocampal mossy fiber synaptic cleft and information processing and synaptic transmission. Neuroprosthetic applications consist of decoding upper limb movements and gait phase kinematics using electroencephalography. Clinical applications include detection, prediction, and classification of seizures.