Statistical Techniques for Neuroscientists

Discover the essential resource for understanding statistical neurocomputing with Statistical Techniques for Neuroscientists by Taylor & Francis Ltd. This comprehensive paperback edition, published in 2024, spans 446 pages and serves as an ideal introduction to the statistical methods that are crucial for addressing contemporary challenges in neuroscience.

This book delves into a variety of current statistical techniques, offering insights into their application on complex data sets, including multichannel neural spike trains, spike sorting, and blind source separation. Additionally, it explores functional and effective neural connectivity, as well as spatiotemporal modeling, making it a valuable asset for researchers and students alike.

Whether you are a seasoned neuroscientist or just beginning your journey in the field, this book provides the tools and knowledge necessary to navigate the intricate world of neuroscience data analysis.