MATLAB for Neuroscientists
An Introduction to Scientific Computing in MATLAB
- Pascal Wallisch, New York University, NY, USA
- Michael Lusignan, The University of Chicago, IL, USA
- Marc Benayoun, The University of Chicago, IL, USA
- Tanya Baker, The Salk Institute for Biological Studies, La Jolla, CA, USA
- Adam Dickey, The University of Chicago, IL, USA
- Nicholas Hatsopoulos, The University of Chicago, IL, USA
This 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.
Undergraduate and graduate students in systems, cognitive, and behavioral neuroscience, cognitive psychology, and related fields, as well as researchers in these fields who use Matlab.