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MATLAB for neuroscientists : an introduction to scientific computing in MATLAB / Pascal Wallisch, Michael E. Lusignan, Marc D. Benayoun, Tanya L. Baker, Adam S. Dickey, Nicholas G. Hatsopoulos

Ouvrage
Auteur principal: Wallisch, Pascal, 1978-...., AuteurLangue : anglais, de la table des matières, anglaisPays : Royaume-Uni.Mention d'édition: 2e editionPublication : Amsterdam : Elsevier Academic Press, 2014Description: 1 vol. (550 p.), ill., couv. ill. en coul., 24cmISBN : 9780123838360.Résumé : MATLAB 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.Bibliographie : Bibliographie p. (V-IX). Index.Sujet - Nom commun: Neurosciences
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Item type Current library Call number Status Date due Barcode
Ouvrage Ouvrage La bibliothèque de l'ESPCI Salle de lecture NE-012 (Browse shelf(Opens below)) Available NE-012

Bibliographie p. (V-IX). Index

MATLAB 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