Hierarchy of chaotic dynamics in random modular neural networks
Lukasz Kusmierz, Ulises Pereira Obilinovic, Zhixin Lu, Dana Mastrovito, Stefan Mihalas · COSYNE 2025
Despite wide recognition of the modular and hierarchical organization of neural circuits in the brain, our understanding of its influence on neural dynamics and information processing remains incomplete. To address this gap, we introduced a model of randomly connected neural populations (modules) and studied its dynamics by means of the mean-field theory and simulations. Our analysis uncovered a rich phase diagram: High-dimensional chaotic activity (microscopic chaos), common in homogeneous networks, is separated from the low-dimensional chaotic activity of strongly coherent modules (macroscop
ePoster · Neuroscience