Num Pages: 368 pages. BIC Classification: MJN; PSAN; UMW. Category: (P) Professional & Vocational. Dimension: 235 x 190. . . 2017. 1st Edition. Paperback. . . . . Codice articolo V9780128040430

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Titolo: Neural Data Science: A Primer with MATLAB? ...

Casa editrice: Elsevier Science Publishing Co Inc

Data di pubblicazione: 2017

Legatura: Brossura

Condizione: New

Edizione: prima edizione

Descrizione articolo

Riassunto:

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.

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

Recensione:

"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

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