bA practical guide to neural data analysis techniques that presents sample datasets and hands-on methods for analyzing the data.bpAs neural data becomes increasingly complex, neuroscientists now require skills in computer programming, statistics, and data analysis. This book teaches practical neural data analysis techniques by presenting example datasets and developing techniques and tools for analyzing them. Each chapter begins with a specific example of neural data, which motivates mathematical and statistical analysis methods that are then applied to the data. This practical, hands-on approach is unique among data analysis textbooks and guides, and equips the reader with the tools necessary for real-world neural data analysis.ppThe book begins with an introduction to MATLAB, the most common programming platform in neuroscience, which is used in the book. Readers familiar with MATLAB can skip this chapter and might decide to focus on data type or method type. The book goes on to cove