Oscillations in networks of networks stem from adaptive nodes with memory
Abstract We present an analytical framework that allows the quantitative study of statistical dynamic properties of networks with adaptive nodes that have memory and is used to examine the emergence of oscillations in networks with response failures. The frequency of the oscillations was quantitativ...
Guardado en:
Autores principales: | Amir Goldental, Herut Uzan, Shira Sardi, Ido Kanter |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Nature Portfolio
2017
|
Materias: | |
Acceso en línea: | https://doaj.org/article/657549b4f81541a8b0fb04ea9278e302 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Autoassociative Memory and Pattern Recognition in Micromechanical Oscillator Network
por: Ankit Kumar, et al.
Publicado: (2017) -
Memory and communication efficient algorithm for decentralized counting of nodes in networks.
por: Arindam Saha, et al.
Publicado: (2021) -
Effect of network topology and node centrality on trading
por: Felipe Maciel Cardoso, et al.
Publicado: (2020) -
Identification of important nodes in directed biological networks: a network motif approach.
por: Pei Wang, et al.
Publicado: (2014) -
Bistable, irregular firing and population oscillations in a modular attractor memory network.
por: Mikael Lundqvist, et al.
Publicado: (2010)