Bulletin of the American Physical Society
APS March Meeting 2023
Volume 68, Number 3
Las Vegas, Nevada (March 5-10)
Virtual (March 20-22); Time Zone: Pacific Time
Session TT09: ICTP-SAIFR Satellite Meeting: Network Dynamics and Synchronization |
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Chair: Marcus Aguiar, UNICAMP-Univ de Campinas |
Tuesday, March 21, 2023 3:30PM - 4:00PM |
TT09.00001: Coherence Resonance in Networks Tiago Pereira Complex networks are abundant in nature and many share an important structural property: they contain a few nodes that are abnormally highly connected (hubs). Some of these hubs are called influencers because they couple strongly to the network and play fundamental dynamical and structural roles. Strikingly, despite the abundance of networks with influencers, little is known about their response to stochastic forcing. Here, for oscillatory dynamics on influencer networks, we show that subjecting influencers to an optimal intensity of noise can result in enhanced network synchronization. This new network dynamical effect, which we call coherence resonance in influencer networks, emerges from a synergy between network structure and stochasticity and is highly nonlinear, vanishing when the noise is too weak or too strong. |
Tuesday, March 21, 2023 4:00PM - 4:30PM |
TT09.00002: Firefly Behavior and its Dynamical Richness: From Synchronization to Oscillation Death Gonzalo Marcelo Ramirez-Avila Fireflies are fascinating insects from a physical viewpoint. Thus, numerous physical phenomena are involved in the understanding of their flashing. Firefly synchronization is the first observed natural phenomenon displaying such behavior in large ensembles. Nowadays, it |
Tuesday, March 21, 2023 4:30PM - 5:00PM |
TT09.00003: The role of local dynamics in the phase synchronization process of a network Sergio R Lopes Partial phase synchronization, also reported as neuron cooperation, is a pivotal behavior of the brain and related to its main features, such as memory. The excess or even the lack of phase synchronization are associated with brain disorders like epilepsy and Parkinson's disease. These diseases may be related to malfunctioning of the synchronization process of the neurons, triggered by changes of the local dynamics of the neurons influenced by parameters such as the ion-channel conductance. In fact, it is common the use of drugs to block or activate specific channels, changing the conductance and bringing the synchronization process to some desired behavior. We report here how individual characteristics of the local dynamics of the neurons, such as their linear stability, when coupled in a network may be a fundamental |
Tuesday, March 21, 2023 5:00PM - 5:30PM |
TT09.00004: Prediction and Inference in Complex Systems Francisco Rodrigues Complex systems are made up of discrete parts that interact and form a |
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