Analyzing Neural Time Series Data: Theory and Practice (Issues in Clinical and Cognitive Neuropsychology)

This comprehensive guide offers a detailed understanding of analyzing electrical brain signals, including data from MEG, EEG, and LFP recordings.

With 38 chapters covering various analysis topics, readers will gain an in-depth knowledge of the conceptual, mathematical, and implementational aspects of time-, time-frequency- and synchronization-based analyses.

The book provides sample data and downloadable Matlab code, allowing readers to practice and apply their knowledge.

Whether you're a cognitive scientist, neuroscientist, or psychologist, this book will give you the tools to perform single-subject-level and group-level analyses with ease.

Don't miss out on this opportunity to revolutionize your understanding of electrical brain signals!