Description
Book SynopsisTrade Review"Making sense of data is emerging as the limiting factor of progress in neuroscience. This book is the accessible way to learn how to do that." --Konrad Koerding, Professor, Northwestern University "This is a fun, hands-on introduction to the important emerging field of neural data science. It's at the intersection of programming, data analysis, and neuroscience -- perfect for aspiring researchers looking to learn these three in parallel. This book will help inspire a new generation to join us in finding out how the brain works with modern computational tools." --Nikolaus Kriegeskorte, Programme leader, Cognition and Brain Sciences Unit, University of Cambridge
Table of ContentsPart I: Foundations 1. Philosophy 2. From 0 to 0.01 Part II: Neural Data Analysis 3. Wrangling Spike Trains 4. Correlating Spike Trains 5. Analog Signals 6. Biophysical Modeling Part III: Going Beyond the Data 7. Regression 8. Dimensionality Reduction 9. Classification and Clustering 10. Web Scraping
