In an increasingly interconnected world, understanding the behavior and structure of complex networks has become essential ...
This study presents experiments suggesting intriguing mesoscale reorganization of functional connectivity across distributed cortical and subcortical circuits during learning. The approach is ...
Abstract: Accurately predicting the complex networks dynamics is a challenging task. Many studies have shown that data-driven frameworks offer promising solutions to this issue. However, existing ...
Melbourne, Australia - 12 August 2025 - Researchers have demonstrated that brain cells learn faster and carry out complex networking more effectively than machine learning by comparing how both a ...
In a rapidly expanding digital interconnectivity era, understanding how information, behaviors, and innovations propagate through complex networks has become a central interdisciplinary challenge.
The authors provide a compelling method for characterizing communication within brain networks. The study engages important, biologically pertinent, concerns related to the balance of dynamics and ...
Filippo Radicchi, professor of Informatics at the Luddy School of Informatics, Computing, and Engineering, co-authored a ground-breaking study that could lead to the development of new AI algorithms ...
Department of Complex Systems Science, Graduate School of Informatics, Nagoya University, Furo-cho, Chikusa-ward, Nagoya, Aichi 464-8601, Japan The Graduate University for Advanced Studies (SOKENDAI), ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results