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Neural data science : a primer with MATLAB and Python / Erik Lee Nylen and Pascal Wallisch.

By: Contributor(s): Material type: TextTextPublication details: London : Academic Press, ©2017.Description: xviii, 350 pages : illustrations (some color) ; 24 cmISBN:
  • 9780128040430
Subject(s): DDC classification:
  • 612.82330285 23 N995
Contents:
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.
Summary: 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 parallelIntroduces the canonical data analysis cascade, standardizing the data analysis flow. Presents tactics that strategically, tactically, and algorithmically help improve the organization of code.
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Holdings
Item type Current library Call number Status Date due Barcode Item holds
Books ISI Library, Kolkata 612.82330285 N995 (Browse shelf(Opens below)) Available 138400
Total holds: 0

Includes bibliographical references and index.

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.

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 parallelIntroduces the canonical data analysis cascade, standardizing the data analysis flow. Presents tactics that strategically, tactically, and algorithmically help improve the organization of code.

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