000			01959cam a22002657i 4500
001			138400
003			ISI Library, Kolkata
005			20190423124737.0
008			161125t20172017enka b 001 0 eng d
020			_a9780128040430 _qpbk.
040			_aISI Library
082	0	4	_a612.82330285 _223 _bN995
100	1		_aNylen, Erik Lee, _eauthor
245	1	0	_aNeural data science : _ba primer with MATLAB and Python / _cErik Lee Nylen and Pascal Wallisch.
260			_aLondon : _bAcademic Press, _c©2017.
300			_axviii, 350 pages : _billustrations (some color) ; _c24 cm.
504			_aIncludes bibliographical references and index.
505	0		_aPart 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.
520			_aA 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.
650		0	_aComputational neuroscience.
650		0	_aNeural networks (Computer science)
650		0	_aMATLAB.
700	1		_aWallisch, Pascal, _eauthor
942			_2ddc _cBK
999			_c427568 _d427568