Hardware implementations of trainable nonlinear oscillators via reservoir computing

Broadcast soon

Hardware-implemented reservoir computing (RC) has been gaining considerable interest in recent years, due to the gain in fundamental insights and its appeal for applications including classification and nonlinear-prediction tasks. In this talk, I will start giving an overview of a few key publications that paved the way for the realization of trainable autonomous nonlinear oscillators. Then, I will present how noise can play a constructive role in the replication of chaotic dynamics when using these autonomous nonlinear oscillators. Finally, I will discuss current limitations and novel applications and perspectives for this reservoir computing-based approach.



Detalles de contacto:

Irene Estébanez

Contact form


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