We study a social network where agents correspond to people, and links are relationships between agents. Each agent possesses a set of attributes. Distinguishing the signs of relationships between agents can be performed for each attribute separately or considering all attributes together. In the former case, we assume a simple edge is positive/negative when the two agents hold the...
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...
Change is ubiquitous in living beings. In particular, the connectome and neural representations can change. Nevertheless, behaviors and memories often persist over long times. In a standard model, associative memories are represented by assemblies of strongly interconnected neurons. For faithful storage these assemblies are assumed to consist of the same neurons over time. We propose a...
It is a general experience that computation in a computer produces heat. A part of this heat appears because of the erasure of memory, which is an essential step for irreversible logic operations in regular computational processes. The laws of thermodynamics fix a limit for the heat evolution associated with this erasure step and eventually for the computation[1, 2]. In small systems with...
Vertex models provide a powerful framework for studying the mechanics and dynamics of confluent biological tissues that undergo fluid to solid-like transitions during morphogenesis. Although these transitions are often characterized by changes in macroscopic properties, the underlying microscopic dynamics, particularly their spatiotemporal fluctuations, remain weekly understood. Here, we...
