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Modeling Temperature-Sensitive Neural Networks in the Hypothalamus
Pirc, Alycia Ann

2011, Master of Science, Ohio State University, Mathematics.
The idea of a set-point temperature for thermoregulatory control was hypothesized by H.T. Hammel in 1965. Warm-sensitive neurons and temperature insensitive neurons in the hypothalamus signal to synaptically driven effector neurons. Thermosensitivity is measured by a neuron’s firing rate, or the number of action potentials in a given time. The result of Hammel's work is a feed-forward neural network that influences the body’s control of heat production and heat loss. We extend his idea into a system of differential equations modeling the feed-forward neural network of his design. The results of our model focus on the firing rates of the effector neuron. Generally, our model agrees with the propositions posed by Hammel and his predecessors: effector neurons are synaptically driven to display characteristics of thermosensitive neurons.
Janet Best (Advisor)
Jack Boulant (Committee Member)

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Pirc, A. (2011). Modeling Temperature-Sensitive Neural Networks in the Hypothalamus. (Electronic Thesis or Dissertation). Retrieved from https://etd.ohiolink.edu/

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Pirc, Alycia. "Modeling Temperature-Sensitive Neural Networks in the Hypothalamus." Electronic Thesis or Dissertation. Ohio State University, 2011. OhioLINK Electronic Theses and Dissertations Center. 26 Sep 2017.

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Pirc, Alycia "Modeling Temperature-Sensitive Neural Networks in the Hypothalamus." Electronic Thesis or Dissertation. Ohio State University, 2011. https://etd.ohiolink.edu/

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