Computational Neuroscience, ScB
Advisor: Christopher Moore
Thesis: Computation beyond Neurons: A mechanistic proposal for the integration of vascular to neural signaling in dopaminergic axons
Thesis Advisors: Christopher Moore, Stephanie Jones, Alexander Fleischmann
The goal of Computational Neuroscience is to understand and create systems and cognitive models through computer science that characterize the information processing capabilities of the nervous system. Understanding how the brain works is a large scientific challenge today, and computational neuroscience strives to do that through the application of computational techniques that can be learned through the following curriculum.
Neural signaling evolved to meet the needs of the body in processing information: It is not, in fact, a computer but a biological being whose computations must be conducted in close concert with bodily signals. While the influence of neural input is accounted for in models of dopaminergic signaling, hemodynamics signals are not considered. The aim of this thesis was to create a more complete framework for dopaminergic information processing by incorporating the influence of vasculature on dopamine (DA) cells.
Acknowledgments: My advisor, Christopher Moore, for providing me with unconditional support while forming this concentration and guiding me through my thesis research project. My father, for helping me realize my interest in this field and encouraging me to design my own concentration to pursue it.
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"Congratulations on your amazing achievement. Wishing you all the best for your next life adventure!" --Stephanie Jones
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