Articles producció científica> Enginyeria Informàtica i Matemàtiques

Memory selection and information switching in oscillator networks with higher-order interactions

  • Dades identificatives

    Identificador: imarina:9242157
    Autors:
    Skardal, Per SebastianArenas, Alex
    Resum:
    We study the dynamics of coupled oscillator networks with higher-order interactions and their ability to store information. In particular, the fixed points of these oscillator systems consist of two clusters of oscillators that become entrained at opposite phases, mapping easily to information more commonly represented by sequences of 0’s and 1’s. While 2N such fixed point states exist in a l system of N oscillators, we find that a relatively small fraction of these are stable, as chosen by the network topology. To understand the memory selection of such oscillator networks, we derive a stability criterion to identify precisely which states are stable, i.e., which pieces of information are supported by the network. We also investigate the process by which the system can switch between different stable states when a random perturbation is applied that may force the system into the basin of attraction of another stable state. © 2020 The Author(s). Published by IOP Publishing Ltd
  • Altres:

    Autor segons l'article: Skardal, Per Sebastian; Arenas, Alex
    Departament: Enginyeria Informàtica i Matemàtiques
    Autor/s de la URV: Arenas Moreno, Alejandro
    Paraules clau: Synchronization Stable state Stability criteria Random processes Random perturbations Oscillator systems Oscillator networks Network topology Higher-order interactions Fixed points Coupled oscillators Coupled oscillator networks Complex networks Basin of attraction
    Resum: We study the dynamics of coupled oscillator networks with higher-order interactions and their ability to store information. In particular, the fixed points of these oscillator systems consist of two clusters of oscillators that become entrained at opposite phases, mapping easily to information more commonly represented by sequences of 0’s and 1’s. While 2N such fixed point states exist in a l system of N oscillators, we find that a relatively small fraction of these are stable, as chosen by the network topology. To understand the memory selection of such oscillator networks, we derive a stability criterion to identify precisely which states are stable, i.e., which pieces of information are supported by the network. We also investigate the process by which the system can switch between different stable states when a random perturbation is applied that may force the system into the basin of attraction of another stable state. © 2020 The Author(s). Published by IOP Publishing Ltd
    Àrees temàtiques: Physics, mathematical Multidisciplinary sciences Mathematics, interdisciplinary applications Information systems Computer science applications Computer networks and communications Artificial intelligence
    Accès a la llicència d'ús: https://creativecommons.org/licenses/by/3.0/es/
    Adreça de correu electrònic de l'autor: alexandre.arenas@urv.cat
    Identificador de l'autor: 0000-0003-0937-0334
    Data d'alta del registre: 2024-09-28
    Versió de l'article dipositat: info:eu-repo/semantics/publishedVersion
    Enllaç font original: https://iopscience.iop.org/article/10.1088/2632-072X/abbd4c
    URL Document de llicència: https://repositori.urv.cat/ca/proteccio-de-dades/
    Referència a l'article segons font original: Journal Of Physics: Complexity. 2 (1): 015003-
    Referència de l'ítem segons les normes APA: Skardal, Per Sebastian; Arenas, Alex (2021). Memory selection and information switching in oscillator networks with higher-order interactions. Journal Of Physics: Complexity, 2(1), 015003-. DOI: 10.1088/2632-072x/abbd4c
    DOI de l'article: 10.1088/2632-072x/abbd4c
    Entitat: Universitat Rovira i Virgili
    Any de publicació de la revista: 2021
    Tipus de publicació: Journal Publications
  • Paraules clau:

    Artificial Intelligence,Computer Networks and Communications,Computer Science Applications,Information Systems,Mathematics, Interdisciplinary Applications,Multidisciplinary Sciences,Physics, Mathematical
    Synchronization
    Stable state
    Stability criteria
    Random processes
    Random perturbations
    Oscillator systems
    Oscillator networks
    Network topology
    Higher-order interactions
    Fixed points
    Coupled oscillators
    Coupled oscillator networks
    Complex networks
    Basin of attraction
    Physics, mathematical
    Multidisciplinary sciences
    Mathematics, interdisciplinary applications
    Information systems
    Computer science applications
    Computer networks and communications
    Artificial intelligence
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