This book is extremely valuable for anyone attempting to perform EEG/MEG or LFP data analysis. It is clearly and accessibly written, and covers the most important pitfalls that you might encounter. I had prior knowledge about data analysis but I was missing a comprehensive summary of all the options one encounters during various analyses stages, especially all their benefits and drawbacks. Mike Cohen has seemingly provided all important aspects (and there are many of those) in one place and additionally provides very efficient MATLAB code. Even better, he also hosts a forum, to which readers can turn to if there are still open questions. I can highly recommend this book to anyone who wants to get a thorough understanding of neural time series signal processing techniques.
One of the most comprehensive books in neural time series analysis. It is written in a simple, concise and clear way. Covers pretty much everything one needs to know (I'm working with EEG but the methods in the book are applicable to other types of neural data as well). The downloadable Matlab code that accompanies this publication is a big bonus as it helps to understand how to practically implement the mathematical concepts presented in the book. I absolutely love this book and will become a solid reference for all my data analysis from now on.
I purchased this book just before embarking upon my first EEG analysis project. It literally saved me from hours of pain and misunderstandings. This book is a must buy for anyone working on EEG projects. Here Michael X Cohen covers the technical, computational and neuroscientific bases you will need in order to get your head around a complex topic. This book presents the neccessary info from the ground up in a way that is accessible to people of both technical and non-technical backgrounds. Furthermore code files are provided which can give you a serious leg-up in MATLAB and get you well on the way to analysing your data. EEG Analysis need not be a scary topic, armed with this book you will bring clarity to the darkest corners of time-series analysis!
Very useful book, goes slowly over various time / frequency transformations for EEG and it includes a background on EEG / ERP analysis. Especially nice for those that would like to know how to implement time / frequency transformations at the "low level", for example without using matlab's fft function.
This book should be within easy reach of every student (or professor) from a Psychology background who is working with EEG data. It explains difficult concepts in a clear and straightforward way, and includes very useful examples and code which can be modified for bespoke analysis.