Get Analyzing Neural Time Series Data: Theory and Practice PDF

By Mike X Cohen

ISBN-10: 0262019876

ISBN-13: 9780262019873

This e-book bargains a accomplished consultant to the speculation and perform of examining electric mind indications. It explains the conceptual, mathematical, and implementational (via Matlab programming) points of time-, time-frequency- and synchronization-based analyses of magnetoencephalography (MEG), electroencephalography (EEG), and native box power (LFP) recordings from people and nonhuman animals. it's the in simple terms ebook at the subject that covers either the theoretical history and the implementation in language that may be understood through readers with no large formal education in arithmetic, together with cognitive scientists, neuroscientists, and psychologists. Readers who wade through the e-book bankruptcy by way of bankruptcy and enforce the examples in Matlab will boost an realizing of why and the way analyses are played, how you can interpret effects, what the methodological matters are, and the way to accomplish single-subject-level and group-level analyses. Researchers who're acquainted with utilizing computerized courses to accomplish complex analyses will examine what occurs after they click on the "analyze now" button. The ebook presents pattern info and downloadable Matlab code. all of the 38 chapters covers one research subject, and those subject matters development from easy to complicated. so much chapters finish with workouts that extra increase the fabric coated within the bankruptcy. a few of the tools awarded (including convolution, the Fourier rework, and Euler's formulation) are basic and shape the foundation for different complex information research tools. Readers who grasp the tools within the booklet could be organized to benefit different approaches.

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New PDF release: Analyzing Neural Time Series Data: Theory and Practice

This booklet bargains a finished consultant to the speculation and perform of examining electric mind indications. It explains the conceptual, mathematical, and implementational (via Matlab programming) facets of time-, time-frequency- and synchronization-based analyses of magnetoencephalography (MEG), electroencephalography (EEG), and native box power (LFP) recordings from people and nonhuman animals.

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


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