Statistical Techniques for Neuroscientists

An ideal introduction to statistical neurocomputing, this book examines current statistical methods for solving emerging problems in neuroscience. These methods have been applied to data involving multichannel neural spike train, spike sorting, blind source separation, functional and effective neural connectivity, spatiotemporal modeling, and multimodal neuroimaging technique. It provides an overview of various methods being applied to specific research areas of neuroscience. The book emphasizes statistical principles and their software. It includes examples and experimental data so that readers can understand the principles and master the methods.