Understanding Neuronal Clustering through Evolution of Adaptation Distribution

Abstract: Abstract: In this presentation, I will explore the influence of various parameters on the oscillation frequencies of neuronal networks, with a focus on a network model consisting of excitatory and inhibitory theta neurons. Central to the discussion will be the impact of adaptation currents in excitatory neurons on oscillation frequency, particularly through inducing clustered firing patterns. The talk will also introduce a discrete map to analyze and visualize the clustering behaviors and adaptation distribution within the network. This examination aims to provide a deeper understanding of the complex dynamics governing neuronal network function.

Friday, March 29, 2024 - 14:00 to 15:00

703 Thackery Hall

Speaker Information
Ka Nap Tse
Graduate Student
University of Pittsburgh