Analyzing neural time series data
theory and practice
Bibliographic details
Summary
Analyzing Neural Time Series Data: Theory and Practice by Mike X. Cohen is a comprehensive guide to the analysis of neural electrophysiological data such as EEG, MEG, and local field potentials (LFPs). It explains the mathematical foundations and practical techniques for processing, visualizing, and interpreting brain signals, including time-domain, frequency-domain, time-frequency, connectivity, and statistical analyses. The book emphasizes hands-on learning with MATLAB examples, making it a valuable resource for students, researchers, and professionals in neuroscience, biomedical engineering, and cognitive science.