MATLAB for Neuroscientists: An Introduction to Scientific Computing in MATLAB

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

ISBN 10: 0123745519 / ISBN 13: 9780123745514

Verlag: Academic Press, 2008

Beschreibung

The book is in good condition with all pages and cover intact, including the dust jacket if originally issued. The spine may show light wear. Pages may contain some notes or highlighting, and there might be a "From the library of" label. Boxed set packaging, shrink wrap, or included media like CDs may be missing.

Bestandsnummer des Verkäufers BSM.QRM8

Bibliografische Details

• Titel: MATLAB for Neuroscientists: An Introduction to Scientific Computing in MATLAB
• Verlag: Academic Press
• Erscheinungsjahr: 2008
• Sprache: Englisch
• ISBN-10: 0123745519
• ISBN-13: 9780123745514
• Einband: Hardcover
• Zustand: good

Über diesen Titel

Inhaltsangabe

MATLAB for Neuroscientists: An Introduction to Scientific Computing in MATLAB is the first comprehensive teaching resource and textbook for the teaching of MATLAB in the Neurosciences and in Psychology. MATLAB is unique in that it can be used to learn the entire empirical and experimental process, including stimulus generation, experimental control, data collection, data analysis and modeling. Thus a wide variety of computational problems can be addressed in a single programming environment. The idea is to empower advanced undergraduates and beginning graduate students by allowing them to design and implement their own analytical tools. As students advance in their research careers, they will have achieved the fluency required to understand and adapt more specialized tools as opposed to treating them as "black boxes". Virtually all computational approaches in the book are covered by using genuine experimental data that are either collected as part of the lab project or were collected in the labs of the authors, providing the casual student with the look and feel of real data. In some cases, published data from classical papers are used to illustrate important concepts, giving students a computational understanding of critically important research.

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.