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Complex dynamics in biological circuits

Organizer(s):
Name:	Affiliation:	Country:
Krishna Pusuluri	GEORGIA STATE UNIVERSITY	USA
Andrey Shilnikov	GEORGIA STATE UNIVERSITY	USA

Abstract:

Rhythmic behaviors underlie a variety of biological activities including sensory, motor and cognitive functions of the brain. Characteristic oscillations are also observed in smaller neural circuits called central pattern generators that produce rhythmic motor output without sensory feedback or central input. In this session, we focus on recent advances in the study of rhythmic behaviors and complex dynamics arising in various biological circuits, with an emphasis on computational and data-driven approaches to integrate neurophysiological data into mathematical models. We also discuss how factors such as network connectivity and the dynamics of individual neurons and synapses influence the multifunctionality and interplay between rhythmic states, their regulation, and resilience to external perturbations.

List of approved abstract
Name	Affiliation	Title
Jassem N Bourahmah	Georgia State University	Error Function of Mathematical-Biological Hybrid Central Pattern Generator Optimization
Sergey Plis	Translational Research in Neuroimaging and Data Science center	Causal learning in complex dynamical data
Astrid A Prinz	Emory University	Synaptic feedback strategies that minimize neuronal oscillator variability
Kelvin E Rozier	Georgia State University	Multiple Resonances in an Analog Hopfield Neural Network with Tme Delays
Jack Scully	Georgia State University	Control and Robustness in a Sea Slug Central Pattern Generator
Andrey L Shilnikov	Georgia State University	Bottom-up approach to torus bifurcation in neuron models
James Yorke	1941	The Fundamental Theorem of Ecological Networks