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010 _a9780123838360
090 _a13867
099 _tOUVR
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101 0 _aeng
_eeng
_2639-2
102 _aGB
105 _aa p 001yy
106 _ar
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181 _6z01
_ctxt
_2rdacontent
181 1 _6z01
_ai#
_bxxxe##
182 _6z01
_cn
_2rdamedia
182 1 _6z01
_an
183 1 _6z01
_anga
_2RDAfrCarrier
200 1 _aMATLAB for neuroscientists
_ean introduction to scientific computing in MATLAB
_fPascal Wallisch, Michael E. Lusignan, Marc D. Benayoun, Tanya L. Baker, Adam S. Dickey, Nicholas G. Hatsopoulos
205 _a2e edition
214 0 _aAmsterdam
_cElsevier Academic Press
_d2014
215 _a1 vol. (550 p.)
_c ill., couv. ill. en coul.
_d24cm
320 _aBibliographie p. (V-IX). Index
330 _aMATLAB for Neuroscientists serves as the only complete study manual and teaching resource for MATLAB, the globally accepted standard for scientific computing, in the neurosciences and psychology. This unique introduction can be used to learn the entire empirical and experimental process (including stimulus generation, experimental control, data collection, data analysis, modeling, and more), and the 2nd Edition continues to ensure that a wide variety of computational problems can be addressed in a single programming environment. This updated edition features additional material on the creation of visual stimuli, advanced psychophysics, analysis of LFP data, choice probabilities, synchrony, and advanced spectral analysis. Users at a variety of levels-advanced undergraduates, beginning graduate students, and researchers looking to modernize their skills-will learn to design and implement their own analytical tools, and gain the fluency required to meet the computational needs of neuroscience practitioners
606 _3056563906
_aNeurosciences
_2rameau
676 _a612.8
_v23
700 1 _3140052429
_aWallisch
_bPascal
_f1978-....
_4070