Elizabeth T Mueller 
Neurocomputing 
Learning, Architectures and Modeling

In this book, the authors present topical research in the study of the architectures and modeling in neurocomputing. Topics discussed include a brain-computer interface for analyzing investment behavior and market stability; neural-based image segmentation architecture with execution on a GPU; EEG montages for the diagnosis of Alzheimer’s disease; design and training of neural architectures using extreme learning machines and the systematic comparison of single and multiple hidden-layer neural networks.