Analyzing neural time series data theory and practice (Cohen 2014)


"This book offers a comprehensive guide to the theory and practice of analyzing electrical brain signals. It explains the conceptual, mathematical, and implementational (via Matlab programming) aspects of time-, time-frequency- and synchronization-based analyses of magnetoencephalography (MEG), electroencephalography (EEG), and local field potential (LFP) recordings from humans and nonhuman animals."

Model Concept(s): Tutorial/Teaching; Methods; Extracellular Fields

Simulation Environment: MATLAB (web link to model)

Implementer(s): Cohen, Michael X [mikexcohen at gmail.com]

References:

Cohen MX. (2014). Analyzing Neural Time Series Data: Theory and Practice Issues in Clinical and Cognitive Neuropsychology.


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