Miguel C. Soriano
- IFISC (CSIC-UIB)
- Campus Universitat de les Illes Balears E-07122 Palma de Mallorca. Spain
- Oficina 104 - B
- +34 971 17 13 14
- miguel@ifisc.uib-csic.es
- Pàgina web: http://ifisc.uib-csic.es/miguel/
Perfil
Miguel C. Soriano (Miguel Cornelles Soriano) holds an associate professor (tenured) at the University of the Balearic Islands and at 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.
Publicacions recents
Artificial neural networks through the lens of dynamical systems theory
Danovski, Kaloyan (Supervisors: Lucas Lacasa, Miguel C. Soriano)Master Thesis (2023)
Time and wavelength multiplexing in photonic neural networks
Jiménez González, Pedro (advisors: Miguel C. Soriano, Claudio R. Mirasso)Master Thesis (2023)
Exploiting oscillatory dynamics of delay systems for reservoir computing
Goldmann, Mirko; Fischer, Ingo ; Mirasso, Claudio R.; Soriano, Miguel C. Chaos 33, 093139 (2023)
Information Processing Capacity of Spin-Based Quantum Reservoir Computing Systems
Martínez-Peña, R.; Nokkala, J.; Giorgi, G. L.; Zambrini, R.; Soriano, M. C.Cognitive Computation 15, 1440-1451 (2023)
Guest Editorial: Trends in Reservoir Computing
Scardapane, S.; Gallicchio, C.; Micheli, A; Soriano, M. C.Cognitive Computation 15, 1407-1408 (2023)
Projectes de recerca recents i vigents
POST-DIGITAL
POST-DIGITAL: Neuromorphic computing in photonic and other nonlinear media
I.P.: Ingo Fischer, Claudio Mirasso
POST-DIGITAL is a Marie Skłodowska-Curie Innovative Training Network, funded by the European Union’s Horizon 2020 research and innovation programme. POST-DIGITAL is committed to form a new generation of engineers and researchers, affording ...
ADOPD
Adaptive Optical Dendrites
I.P.: Ingo Fischer, Claudio Mirasso
The increased demand for computation with low energy consumption requires entirely novel hardware concepts. In ADOPD we develop ultra-fast computational units based on optical-fiber technologies exploiting information processing principles used by neurons ...
QuaResC
Quantum machine learning using reservoir computing
I.P.: Miguel C. Soriano, Roberta Zambrini
The QuaResC project engages in a new collaboration UIB and CSIC researchers at IFISC with the objective to address an interdisciplinary topic between artificial intelligence and quantum physics: quantum machine learning using ...
MdM-IFISC-2
Maria de Maeztu 2023-2026
I.P.: Ernesto Estrada, Ingo Fischer, Emilio Hernández-García, Rosa Lopez, Víctor M. Eguíluz, Claudio Mirasso, Jose Javier Ramasco, Raúl Toral, Roberta Zambrini
After 15 years of its existence, IFISC can point to a proven track record of impactful research. The previous 2018-2022 MdM award has significantly enhanced the institute's capabilities, as demonstrated by an ...
INFOLANET
Information processing with coupled laser networks
I.P.: Apostolos Argyris, Miguel C. Soriano
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 ...