Dopamine (DA) is a neurotransmitter involved in attention, goal oriented behavior, movement, reward learning, and short term and working memory. For the past four decades, mathematical and computational modeling approaches have been useful in DA research, and although every modeling approach has limitations, a model is an efficient way to generate and explore hypotheses. This work develops a model of DA dynamics in a representative, single DA neuron by integrating previous experimental, theoretical and computational research.
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- Partial requirement for: Ph.D., Arizona State University, 2012Note typethesis
- Includes bibliographical references (p. 93-108)Note typebibliography
- Field of study: Applied mathematics for the life and social sciences