|Date: Friday, January 22, 2016
Location: 1084 East Hall (4:10 PM to 5:00 PM)
Title: Utilizing Phase Response Curves to understand the activity of large neuronal networks
Abstract: Since the era of Hodgkin and Huxley in the 1950s, the neurons in your brain have been modeled with various degrees of accuracy and complexity as systems of differential equations. Since these models typically exhibit oscillatory properties, a common way to analyze their properties is with the Phase Response Curve (PRC). PRCs illustrate how a perturbation delivered at various phases of an oscillation differentially advance or delay the timing of subsequent oscillations. For neurons, the perturbations are synaptic activity and the oscillations are action potential firings.
In this talk, I will first provide a background of the mathematics underlying the PRC and its application to analyzing systems of connected oscillators. I will then provide results from my current research that show how the properties of a neuron's PRC can change the overall behavior of a large neuronal network and briefly discuss the biological importance of these results.
Speaker: Scott Rich
Institution: University of Michigan
Event Organizer: J. Hoskins and D. Wood