MATLAB for Neuroscientists

Marc D. Benayoun, Nicholas G. Hatsopoulos, Tanya I. Baker, Pascal Wallisch, Michael E. Lusignan, Adam Seth Dickey

ISBN 10: 0123838363 / ISBN 13: 9780123838360

Verlag: Elsevier Science Publishing Co Inc, US, 2013

Beschreibung

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.

Bestandsnummer des Verkäufers LU-9780123838360

Bibliografische Details

• Titel: MATLAB for Neuroscientists
• Verlag: Elsevier Science Publishing Co Inc, US
• Erscheinungsjahr: 2013
• Sprache: Englisch
• ISBN-10: 0123838363
• ISBN-13: 9780123838360
• Einband: Hardback
• Auflage: 2. Auflage
• Zustand: New

Über diesen Titel

Inhaltsangabe

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.

Über die Autorin bzw. den Autor

Pascal Wallisch received his PhD from the University of Chicago, did postdoctoral work at the Center for Neural Science at New York University, and currently serves as a clinical assistant professor of Psychology at New York University. His research interests are at the intersection of Psychology and Neuroscience, specifically Cognitive and Computational Neuroscience. His current work focuses on motion perception, autism and the appraisal of film.