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Computational neural modeling at the cellular and network levels: two case studies
(University of Missouri--Columbia, 2007)
Computational neuroscience provides tools to abstract and generalize principles of neuronal functions using mathematics, with applicability to the entire neuroscience spectrum. Problems at two levels of the neuroscience ...
Computational modeling of the fear circuit : a system approach to understand anxiety and stress disorder
(University of Missouri--Columbia, 2009)
Computational models are becoming increasingly important to systems neuroscience. In fear learning, although there have been a few attempts at modeling emotional learning and memory in the past, most were limited to ...