Monday, August 13, 2012

Computational Neuroscience / Definitions

Computational neuroscience is the study of brain function in terms of the information processing properties of the structures that make up the nervous system [1]. It is an interdisciplinary science that links the diverse fields of neuroscience, cognitive science and psychology with electrical engineering, computer science, mathematics and physics (http://en.wikipedia.org/wiki/Computational_neuroscience, http://www.cnsorg.org/computational-neuroscience).

[1] What is computational neuroscience? Patricia S. Churchland, Christof Koch, Terrence J. Sejnowski. in Computational Neuroscience pp.46-55. Edited by Eric L. Schwartz. 1993. MIT Press.

Computational neuroscience provides a theoretical foundation and a rich set of technical approaches for understanding complex neurobiological systems, building on the theory, methods, and findings of computer science, neuroscience, and numerous other disciplines (http://www.nsf.gov/pubs/2011/nsf11505/nsf11505.htm). 

Computational Neuroscience, a relatively recent discipline within the broader field of neuroscience, has emerged as a crucially important discipline for furthering our understanding of brain function and translating this knowledge into technological applications (http://www.bu.edu/neuro/graduate/computational-neuroscience/). 



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