Seminar
Loops, Torsors, and Affine Grassmannians
Virtual Insights into Pain: Agent-Based Modeling of Neural Activity in the Amygdala
Proof of the Grothendieck-Serre Conjecture: Elementary Fibrations
Independence Complex of Kneser Graph
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.
Kapranov's theorem
Models of Dopamine-Modulated Corticostriatal Plasticity
On a Network Security Game Model
Vivek Shandilya is an assistant professor in the department of computer science in Bowie State University and directs SOPSS Lab there. He holds a PhD in Computer Science from University of Memphis. His work involves investigating and establishing the structures in the interaction of intelligent agents with conflicting & mutually unknown motivations in stochastic systems. This problem manifests in optimization & security situations of computational, biological, and socio-economic systems.