Analyzing Neural Time Series Data: Theory and Practice

2014 | ISBN: 0262019876 | English | 600 pages | PDF | 32 MB

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.


[Fast Download] Analyzing Neural Time Series Data: Theory and Practice

Ebooks related to "Analyzing Neural Time Series Data: Theory and Practice" :
The Human Face of Computing (Advances in Computer Science and Engineering: Texts)
The Ultimate Website Accelerator, Part I: Build Your Own Business Website Fast, No Experience Requir
Beginning Java Game Development with LibGDX
Getting Started with SpriteKit
World of Workcraft: Rediscovering Motivation and Engagement in the Digital Workplace
PlayStation Mobile Development Cookbook
Laurence Moroney, "Introducing Microsoft WebMatrix"
Coordination Models and Languages
WordPress For Dummies
WordNet: An Electronic Lexical Database (Language, Speech, and Communication)
Copyright Disclaimer:
This site does not store any files on its server. We only index and link to content provided by other sites. Please contact the content providers to delete copyright contents if any and email us, we'll remove relevant links or contents immediately.