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 levelsaadvanced undergraduates, beginning graduate students, and researchers looking to modernize their skillsawill learn to design and implement their own analytical tools, and gain the fluency required to meet the computational needs of neuroscience practitioners. The first complete volume on MATLAB focusing on neuroscience and psychology applications Problem-based approach with many examples from neuroscience and cognitive psychology using real data Illustrated in full color throughout Careful tutorial approach, by authors who are award-winning educators with strong teaching experienceAn Introduction to Scientific Computing in MATLAB Pascal Wallisch, Michael E. Lusignan, Marc D. Benayoun, Tanya I. Baker, Adam Seth Dickey, Nicholas G. ... If you do use a lot of for loops in your code that are, in principle, independent of each other, you might want to look into parallelizing them. ... For this purpose, MathWorks created the compiler. ... If you work with very large and complex datasets, you might want to consider storing them in a relational database, such as MySQL.
|Title||:||MATLAB for Neuroscientists|
|Author||:||Pascal Wallisch, Michael E. Lusignan, Marc D. Benayoun, Tanya I. Baker, Adam Seth Dickey, Nicholas G. Hatsopoulos|
|Publisher||:||Academic Press - 2014-01-09|