Cooperation-induced Criticality in Neural Networks

Cooperation-induced Criticality in Neural Networks

Date: August 2013
Creator: Zare, Marzieh
Description: The human brain is considered to be the most complex and powerful information-processing device in the known universe. The fundamental concepts behind the physics of complex systems motivate scientists to investigate the human brain as a collective property emerging from the interaction of thousand agents. In this dissertation, I investigate the emergence of cooperation-induced properties in a system of interacting units. I demonstrate that the neural network of my research generates a series of properties such as avalanche distribution in size and duration coinciding with the experimental results on neural networks both in vivo and in vitro. Focusing attention on temporal complexity and fractal index of the system, I discuss how to define an order parameter and phase transition. Criticality is assumed to correspond to the emergence of temporal complexity, interpreted as a manifestation of non-Poisson renewal dynamics. In addition, I study the transmission of information between two networks to confirm the criticality and discuss how the network topology changes over time in the light of Hebbian learning.
Contributing Partner: UNT Libraries
Cooperation in neural systems: Bridging complexity and periodicity

Cooperation in neural systems: Bridging complexity and periodicity

Date: November 29, 2012
Creator: Zare, Marzieh & Grigolini, Paolo
Description: Article discussing research on cooperation and neural systems and bridging complexity and periodicity.
Contributing Partner: UNT College of Arts and Sciences
Neural Dynamics: Criticality, Cooperation, Avalanches and Entrainment between Complex Networks

Neural Dynamics: Criticality, Cooperation, Avalanches and Entrainment between Complex Networks

Date: May 22, 2012
Creator: Grigolini, Paolo; Zare, Marzieh; Svenkeson, Adam & West, Bruce J.
Description: Book chapter discussing neural dynamics and the criticality, cooperation, avalanches and entrainment between complex networks.
Contributing Partner: UNT College of Arts and Sciences