Miguel C. Soriano

Miguel Cornelles Soriano
Miguel C. Soriano (Miguel Cornelles Soriano) holds a "Ramón y Cajal" research position at the Instituto de Física Interdisciplinar y Sistemas Complejos (IFISC). His research line covers the topics of information processing based on reservoir computing and nonlinear dynamics. His main research interests also include the experimental and numerical study of semiconductor lasers subject to delayed-coupling and the synchronization of chaotic oscillators.

Publicaciones recientes

Comparison of photonic reservoir computing systems for fiber transmission equalization

Argyris, A.; Cantero, J.; Galletero, M.; Pereda, E.; Mirasso, C. R.; Fischer, I.; Soriano, M. C.
IEEE Journal of Selected Topics in Quantum Electronics 26, 5100309 (2020)

Machine learning algorithms for predicting the amplitude of chaotic laser pulses

Amil, Pablo; Soriano, Miguel C.; Masoller, Cristina
Chaos 29, 113111 (2019)

Cross-predicting the dynamics of an optically injected single-mode semiconductor laser using reservoir computing

Cunillera, Alejandro; Soriano, Miguel C.; Fischer, Ingo
Chaos 29, 113113 (1-9) (2019)

Unraveling the decay of the number of unobserved ordinal patterns in noisy chaotic dynamics

Olivares, Felipe; Zunino, Luciano; Soriano, Miguel C.; Pérez, Darío G.
Physical Review E 10, 042215 (1-8) (2019)

Constructive Role of Noise for High-Quality Replication of Chaotic Attractor Dynamics Using a Hardware-Based Reservoir Computer

Estébanez, Irene; Fischer, Ingo; Soriano, Miguel C.
Physical Review Applied 12, 034058 (2019)

Proyectos de investigación vigentes


Improving data DEcoding in optical communication networks All-optically using neuro-inspired photonic systems

I.P.: Miguel C. Soriano, Ingo Fischer, Claudio Mirasso
Novel technologies related to optical communications, sensing, the Internet of Things (IoT) and artificial intelligence have been generating unique opportunities and potential to enhance our quality-of-life, and to provide new services for ...

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