Continual improvements in data collection and processing have had a huge impact on brain research, producing data sets that are often large and complicated. By

A practical guide to neural data analysis techniques that presents sample datasets and hands-on methods for analyzing the data. As neural data becomes increasin

A comprehensive guide to the conceptual, mathematical, and implementational aspects of analyzing electrical brain signals, including data from MEG, EEG, and LFP

A Primer with MATLAB® and PythonTM present important information on the emergence of the use of Python, a more general purpose option to MATLAB, the preferred

Trains researchers and graduate students in state-of-the-art statistical and machine learning methods to build models with real-world data.