Miguel C. Soriano

According to our database, Miguel C. Soriano authored at least 19 papers between 2014 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Guest Editorial: Trends in Reservoir Computing.

Simone Scardapane, Claudio Gallicchio, Alessio Micheli, Miguel C. Soriano

Cogn. Comput., September, 2023

Information Processing Capacity of Spin-Based Quantum Reservoir Computing Systems.

Rodrigo Martínez-Peña, Johannes Nokkala, Gian Luca Giorgi, Roberta Zambrini, Miguel C. Soriano

Cogn. Comput., September, 2023

2022

Information Processing Capacity of a Single-Node Reservoir Computer: An Experimental Evaluation.

Benedikt Vettelschoss, André Röhm, Miguel C. Soriano

IEEE Trans. Neural Networks Learn. Syst., 2022

High-Performance Reservoir Computing With Fluctuations in Linear Networks.

Johannes Nokkala, Rodrigo Martínez-Peña, Roberta Zambrini, Miguel C. Soriano

IEEE Trans. Neural Networks Learn. Syst., 2022

2021

Unveiling the role of plasticity rules in reservoir computing.

Guillermo B. Morales, Claudio R. Mirasso, Miguel C. Soriano

Neurocomputing, 2021

Time-Delay Identification Using Multiscale Ordinal Quantifiers.

Miguel C. Soriano, Luciano Zunino

Entropy, 2021

Inferring untrained complex dynamics of delay systems using an adapted echo state network.

Mirko Goldmann, Claudio R. Mirasso, Ingo Fischer, Miguel C. Soriano

CoRR, 2021

Nonlinear photonic dynamical systems for unconventional computing.

Daniel Brunner, Laurent Larger, Miguel C. Soriano

CoRR, 2021

Exploiting transient dynamics of a time-multiplexed reservoir to boost the system performance.

Mirko Goldmann, Claudio R. Mirasso, Ingo Fischer, Miguel C. Soriano

Proceedings of the International Joint Conference on Neural Networks, 2021

2019

Automated real-time method for ventricular heartbeat classification.

Silvia Ortin, Miguel C. Soriano, Miquel Alfaras, Claudio R. Mirasso

Comput. Methods Programs Biomed., 2019

Optoelectronic Reservoir Computing Using a Mixed Digital-Analog Hardware Implementation.

Miguel C. Soriano, Pau Massuti-Ballester, Jesús Yelo, Ingo Fischer

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019 - 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17-19, 2019, Proceedings, 2019

2017

Automated Detection of Epileptic Biomarkers in Resting-State Interictal MEG Data.

Miguel C. Soriano, Guiomar Niso, Jillian M. Clements, Silvia Ortin, Sira Carrasco, María Gudín, Claudio R. Mirasso, Ernesto Pereda

Frontiers Neuroinformatics, 2017

2015

Delay-Based Reservoir Computing: Noise Effects in a Combined Analog and Digital Implementation.

Miguel C. Soriano, Silvia Ortin, Lars Keuninckx, Lennert Appeltant, Jan Danckaert, Luis Pesquera, Guy van der Sande

IEEE Trans. Neural Networks Learn. Syst., 2015

Electrocardiogram Classification Using Reservoir Computing With Logistic Regression.

Miguel Angel Escalona-Moran, Miguel C. Soriano, Ingo Fischer, Claudio R. Mirasso

IEEE J. Biomed. Health Informatics, 2015

Digital Implementation of a Single Dynamical Node Reservoir Computer.

Miquel L. Alomar, Miguel C. Soriano, Miguel Angel Escalona-Moran, Vincent Canals, Ingo Fischer, Claudio R. Mirasso, José Luis Rosselló

IEEE Trans. Circuits Syst. II Express Briefs, 2015

Photonic delay systems as machine learning implementations.

Michiel Hermans, Miguel C. Soriano, Joni Dambre, Peter Bienstman, Ingo Fischer

J. Mach. Learn. Res., 2015

Minimal approach to neuro-inspired information processing.

Miguel C. Soriano, Daniel Brunner, Miguel Angel Escalona-Moran, Claudio R. Mirasso, Ingo Fischer

Frontiers Comput. Neurosci., 2015

Assessing Coupling Dynamics from an Ensemble of Time Series.

Germán Gómez-Herrero, Wei Wu, Kalle Rutanen, Miguel C. Soriano, Gordon Pipa, Raul Vicente

Entropy, 2015

2014

Reservoir computing with a single time-delay autonomous Boolean node.

Nicholas D. Haynes, Miguel C. Soriano, Ingo Fischer, Daniel J. Gauthier

CoRR, 2014