A reflection of the explosion of research and development in this field, this book explores
applications of omics in bioinformatics, cancer research and therapy, diabetes research …

Brain–machine interfaces can greatly improve the performance of prosthetics. Utilizing
biomimetic neuronal modeling in brain machine interfaces (BMI) offers the possibility of …

A stroke, also called a cerebrovascular accident (CVA), is a sudden event due to pathology
of or within blood vessels to the brain. Stroke results in damage to brain tissue, causing …

Brain–machine interface decoding algorithms need to be predicated on assumptions that
are easily met outside of an experimental setting to enable a practical clinical device. Given …

Neocortical mechanisms of learning sensorimotor control involve a complex series of
interactions at multiple levels, from synaptic mechanisms to network connectomics. We …

This paper addresses the problem of resource scheduling in real-time ensemble systems.
An ensemble system uses multiple simple computational models (called “experts”) to …

Inspired by the strategy of divide and conquer, ensemble systems utilize multiple simple
computational models (called 'experts') that can, individually or in some combination …

Simulation of spiking neural networks is computationally expensive and the employment of
multicore processors can boost the performance of such simulations. Designing …

This paper describes the design and implementation of an improved version (2.0) of a
computational cyberinfrastructure for neuroscience research, called CyberWorkstation (CW) …

The CyberWorkstation (CW) is an advanced cyber-infrastructure for Brain-Machine Interface
(BMI) research. It allows the development, configuration and execution of BMI computational …