Zobrazeno 1 - 10
of 2 248
pro vyhledávání: '"Lyle, E."'
Chimera states are a phenomenon in which order and disorder can co-exist within a network that is fully homogeneous. Precisely how transient chimeras emerge in finite networks of Kuramoto oscillators with phase-lag remains unclear. Utilizing an opera
Externí odkaz:
http://arxiv.org/abs/2311.01382
Networks with different levels of interactions, including multilayer and multiplex networks, can display a rich diversity of dynamical behaviors and can be used to model and study a wide range of systems. Despite numerous efforts to investigate these
Externí odkaz:
http://arxiv.org/abs/2306.06532
Autor:
Roberto C. Budzinski, Alexandra N. Busch, Samuel Mestern, Erwan Martin, Luisa H. B. Liboni, Federico W. Pasini, Ján Mináč, Todd Coleman, Wataru Inoue, Lyle E. Muller
Publikováno v:
Communications Physics, Vol 7, Iss 1, Pp 1-13 (2024)
Abstract Networks throughout physics and biology leverage spatiotemporal dynamics for computation. However, the connection between structure and computation remains unclear. Here, we study a complex-valued neural network (cv-NN) with linear interacti
Externí odkaz:
https://doaj.org/article/d9edc3fcbca249f6a77db41a0303a9d9
Autor:
Nguyen, Tung T., Budzinski, Roberto C., Pasini, Federico W., Delabays, Robin, Mináč, Ján, Muller, Lyle E.
Networked systems have been used to model and investigate the dynamical behavior of a variety of systems. For these systems, different levels of complexity can be considered in the modeling procedure. On one hand, this can offer a more realistic and
Externí odkaz:
http://arxiv.org/abs/2209.05970
Autor:
Rossi, Kalel L., Budzinski, Roberto C., Boaretto, Bruno R. R., Muller, Lyle E., Feudel, Ulrike
Understanding the sensitivity of a system's behavior with respect to parameter changes is essential for many applications. This sensitivity may be desired - for instance in the brain, where a large repertoire of different dynamics, particularly diffe
Externí odkaz:
http://arxiv.org/abs/2208.02325
Autor:
Budzinski, Roberto C., Nguyen, Tung T., Benigno, Gabriel B., Doàn, Jacqueline, Mináč, Ján, Sejnowski, Terrence J., Muller, Lyle E.
We introduce an analytical approach that allows predictions and mechanistic insights into the dynamics of nonlinear oscillator networks with heterogeneous time delays. We demonstrate that time delays shape the spectrum of a matrix associated to the s
Externí odkaz:
http://arxiv.org/abs/2207.13785