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Neural Data Science
A Primer with MATLAB® and Python™
Introduction to the principles of computational neuroscience using Python, a high-level, open-source programming language
Erik Lee Nylen (Author), Pascal Wallisch (Author)
9780128040430
Paperback / softback, published 10 May 2017
368 pages
23.4 x 19 x 2.4 cm, 0.75 kg
"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
A Primer with MATLAB® and Python™ present important information on the emergence of the use of Python, a more general purpose option to MATLAB, the preferred computation language for scientific computing and analysis in neuroscience. This book addresses the snake in the room by providing a beginner’s introduction to the principles of computation and data analysis in neuroscience, using both Python and MATLAB, giving readers the ability to transcend platform tribalism and enable coding versatility.
Part 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
Subject Areas: Neurosciences [PSAN], Science: general issues [PD]
