Neural Data Science

A Primer with MATLAB� and PythonT

Häftad, Engelska, 2017

Av Erik Lee Nylen, Pascal Wallisch, USA) Nylen, Erik Lee (New York University, New York, NY, USA) Wallisch, Pascal (New York University, New York, NY

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A Primer with MATLAB� and PythonT 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.

Includes discussions of both MATLAB and Python in parallel
Introduces the canonical data analysis cascade, standardizing the data analysis flow
Presents tactics that strategically, tactically, and algorithmically help improve the organization of code

Produktinformation

Utgivningsdatum2017-05-10
Mått191 x 235 x 23 mm
Vikt750 g
FormatHäftad
SpråkEngelska
Antal sidor368
FörlagElsevier Science
ISBN9780128040430

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Erik Lee Nylen received his PhD from the Center for Neural Science at New York University, and his BSE and MS in Biomedical Engineering at the University of Iowa. He did a fellowship at Insight Data Science, and has taught at the Neural Data Science summer course at Cold Spring Harbor Laboratory. He is a patented inventor and has performed with numerous musical groups. He is currently a data scientist in New York, where he also is Executive Co-Director of The Stand, the New York City Dance Marathon. Pascal Wallisch serves as a professor in the Department of Psychology at New York University where he currently teaches statistics, programming and the use of mathematical tools in neuroscience and psychology. He received his PhD in Psychology from the University of Chicago and worked as a postdoctoral fellow at the Center for Neural Science at New York University. He has a long-term commitment and is dedicated to educational excellence, which was recognized by the “Wayne C. Booth Graduate Student Prize for Excellence in teaching at the University of Chicago and the “Golden Dozen Award at New York University. He co-founded and co-organizes the “Neural Data Science summer course at Cold Spring Harbor Laboratory and co-authored “Matlab for Neuroscientists.

"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