Dr. Yasuharu Koike, Dr. Natsue Yoshimura and Dr. Ludovico Minati at Bio Interface Unit have uncovered some new aspects of how connections in networks can influence their behavior over time. Usually, network elements with many connections generate more complex activity than others, but this effect can become inverted if the connections are overly strong. In contrast, in cases such as neurons, which behave in a seemingly random way when by themselves, connectivity can result in more regular and predictable patterns.

Title:”Connectivity Influences on Nonlinear Dynamics in Weakly-Synchronized Networks: Insights From Rössler Systems, Electronic Chaotic Oscillators, Model and Biological Neurons”

DOI: 10.1109/ACCESS.2019.2957014

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