• I.P.: Apostolos Argyris, Miguel C. Soriano
  • Fecha de inicio: 1 de Septiembre de 2023
  • Fecha de final: 30 de Septiembre de 2026

In the INFOLANET project, we will combine the expertise of the PIs on dynamical systems and machine learning to advance information processing concepts, based on a high-speed photonic implementation. We anticipate that synchronization, understood in a broad sense, will be key to boost information processing performance. We aim to establish a network of coupled lasers that is able to generate diverse responses to the input stimulus (high-dimensionality of the responses) while keeping these responses reproducible for supervised learning (consistency of the responses). In order to comply with these apparently contradictory requirements, different aspects related to identical or generalized synchronization, stimulus-induced or autonomous synchronization, and transient or stable synchronization properties will need to be investigated to ultimately understand their impact on the performance.


  • Apostolos Argyris

    Apostolos Argyris

  • Miguel C. Soriano

    Miguel C. Soriano

  • Moritz Pflüger

    Moritz Pflüger

Esta web utiliza cookies para la recolección de datos con un propósito estadístico. Si continúas navegando, significa que aceptas la instalación de las cookies.

Más información De acuerdo