EEG - Analyzing Neural Time Series Data
A Sparknotes overview of the book "Analyzing Neural Time Series Data," which is a great read for anyone looking to get deeper into the nit and grit of the analysis required to make any use of EEG data. In addition, contains other resources about EEG for further reading!
Overview of this book and the subject matter
This book is a work in progress as I myself go through the book, take notes, and rewrite my notes...
Glossary
B Butterfly Plot Shows the ERP of all electrodes on a single figure. See Ch 9 C Cognitive Ele...
Section 1: Introduction
Ch 1: The Purpose of This Book, Who Should Read it, and How to Use it
This chapter is mainly an introduction for the book, discussing that it serves as an overview of ...
Ch 2: Advantages and Limitations of Time- and Time-Frequency-Domain Analysis
This chapter discusses the different categories of analysis and their pros/cons, some discussion...
Ch 3: Interpreting and Asking Questions about Time-Frequency Results
This chapter discusses what kinds of inferences we can pull from EEG signal uses time-frequency a...
Ch 4: Introduction to Matlab Programming
This chapter gives basic programming advice. It may be worth a deeper look if you are very new to...
Ch 5: Introduction to the Physiological Bases of EEG
This chapter discusses the mechanisms to how neuronal activities end up as signal data recorded b...
Ch 6: Practicalities of EEG Measurement and Experiment Design
This chapter goes over some more practical advice when designing an experiment that will use EEG ...
Section 2: Preprocessing and Time-Domain Analyses
Ch 7: Preprocessing Steps Necessary and Useful for Advanced Data Analysis
This chapter goes over the basics of preprocessing your data before full analysis 7.1 What is Pr...
Ch 8: EEG Artifacts, Their Detection, Influence, and Removal
This chapter goes over EEG artifacts, what they look like in data and the problems they cause, an...
Ch 9: Overview of Time-Domain EEG Analysis
This chapter discusses various aspect of analysis of Time-Series data, particularly in regards to...
Section 3: Frequency and Time-Frequency Domains Analyses
Ch 10: The Dot Product and Convolution
This chapter goes over the math / meaning of the Dot Product and Convolution, critical concepts t...
Ch 11: The Discrete Time Fourier Transform, the FFT, and the Convolution Theorem
This chapter directly expands on the previous by talking about how the Fourier Transform works an...