Miguel C. Soriano

Miguel Cornelles Soriano
Perfil
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)

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)

Multilayer reservoir computing to overcome the memory-nonlinearity trade-off

Jaume Suárez, Samuel (Supervisor: Miguel C. Soriano)
Master Thesis (2019)

Constructive role of plasticity rules in reservoir computing

Barrios, Guillermo (Supervisors: Miguel C. Soriano, Claudio Mirasso)
Master Thesis (2019)

A Fast Machine Learning Model for ECG-Based Heartbeat Classification and Arrhythmia Detection

Alfaras, Miquel; Soriano, Miguel C.; Ortín, Silvia
Frontiers in Physics 7, 103 (2019)

Proyectos de investigación vigentes

IDEA

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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