Miguel C. Soriano

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 15

Top Topics

Experimental Evaluation

Recurrent Neural Networks

Reservoir Computing

Information Processing

Top Venues

IEEE Trans. Neural Networks Learn. Syst.

Publications

Guillaume Pourcel, Mirko Goldmann, Ingo Fischer, Miguel C. Soriano
Adaptive control of recurrent neural networks using conceptors. CoRR (2024)
Kaloyan Danovski, Miguel C. Soriano, Lucas Lacasa
Dynamical stability and chaos in artificial neural network trajectories along training. CoRR (2024)
Rodrigo Martínez-Peña, Johannes Nokkala, Gian Luca Giorgi, Roberta Zambrini, Miguel C. Soriano
Information Processing Capacity of Spin-Based Quantum Reservoir Computing Systems. Cogn. Comput. 15 (5) (2023)
Simone Scardapane, Claudio Gallicchio, Alessio Micheli, Miguel C. Soriano
Guest Editorial: Trends in Reservoir Computing. Cogn. Comput. 15 (5) (2023)
Benedikt Vettelschoss, André Röhm, Miguel C. Soriano
Information Processing Capacity of a Single-Node Reservoir Computer: An Experimental Evaluation. IEEE Trans. Neural Networks Learn. Syst. 33 (6) (2022)
Johannes Nokkala, Rodrigo Martínez-Peña, Roberta Zambrini, Miguel C. Soriano
High-Performance Reservoir Computing With Fluctuations in Linear Networks. IEEE Trans. Neural Networks Learn. Syst. 33 (6) (2022)
Daniel Brunner, Laurent Larger, Miguel C. Soriano
Nonlinear photonic dynamical systems for unconventional computing. CoRR (2021)
Guillermo B. Morales, Claudio R. Mirasso, Miguel C. Soriano
Unveiling the role of plasticity rules in reservoir computing. Neurocomputing 461 (2021)
Guillermo B. Morales, Claudio R. Mirasso, Miguel C. Soriano
Unveiling the role of plasticity rules in reservoir computing. CoRR (2021)
Mirko Goldmann, Claudio R. Mirasso, Ingo Fischer, Miguel C. Soriano
Exploiting transient dynamics of a time-multiplexed reservoir to boost the system performance. IJCNN (2021)
Mirko Goldmann, Claudio R. Mirasso, Ingo Fischer, Miguel C. Soriano
Inferring untrained complex dynamics of delay systems using an adapted echo state network. CoRR (2021)
Miguel C. Soriano, Luciano Zunino
Time-Delay Identification Using Multiscale Ordinal Quantifiers. Entropy 23 (8) (2021)
Silvia Ortin, Miguel C. Soriano, Miquel Alfaras, Claudio R. Mirasso
Automated real-time method for ventricular heartbeat classification. Comput. Methods Programs Biomed. 169 (2019)
Miguel C. Soriano, Pau Massuti-Ballester, Jesús Yelo, Ingo Fischer
Optoelectronic Reservoir Computing Using a Mixed Digital-Analog Hardware Implementation. ICANN (Workshop) (2019)
Miguel C. Soriano, Guiomar Niso, Jillian M. Clements, Silvia Ortin, Sira Carrasco, María Gudín, Claudio R. Mirasso, Ernesto Pereda
Automated Detection of Epileptic Biomarkers in Resting-State Interictal MEG Data. Frontiers Neuroinformatics 11 (2017)
Michiel Hermans, Miguel C. Soriano, Joni Dambre, Peter Bienstman, Ingo Fischer
Photonic Delay Systems as Machine Learning Implementations. CoRR (2015)
Michiel Hermans, Miguel C. Soriano, Joni Dambre, Peter Bienstman, Ingo Fischer
Photonic delay systems as machine learning implementations. J. Mach. Learn. Res. 16 (2015)
Germán Gómez-Herrero, Wei Wu, Kalle Rutanen, Miguel C. Soriano, Gordon Pipa, Raul Vicente
Assessing Coupling Dynamics from an Ensemble of Time Series. Entropy 17 (4) (2015)
Miquel L. Alomar, Miguel C. Soriano, Miguel Angel Escalona-Moran, Vincent Canals, Ingo Fischer, Claudio R. Mirasso, José Luis Rosselló
Digital Implementation of a Single Dynamical Node Reservoir Computer. IEEE Trans. Circuits Syst. II Express Briefs (10) (2015)
Miguel C. Soriano, Silvia Ortin, Lars Keuninckx, Lennert Appeltant, Jan Danckaert, Luis Pesquera, Guy van der Sande
Delay-Based Reservoir Computing: Noise Effects in a Combined Analog and Digital Implementation. IEEE Trans. Neural Networks Learn. Syst. 26 (2) (2015)
Miguel C. Soriano, Daniel Brunner, Miguel Angel Escalona-Moran, Claudio R. Mirasso, Ingo Fischer
Minimal approach to neuro-inspired information processing. Frontiers Comput. Neurosci. 9 (2015)
Miguel Angel Escalona-Moran, Miguel C. Soriano, Ingo Fischer, Claudio R. Mirasso
Electrocardiogram Classification Using Reservoir Computing With Logistic Regression. IEEE J. Biomed. Health Informatics 19 (3) (2015)
Nicholas D. Haynes, Miguel C. Soriano, Ingo Fischer, Daniel J. Gauthier
Reservoir computing with a single time-delay autonomous Boolean node. CoRR (2014)
Germán Gómez-Herrero, Wei Wu, Kalle Rutanen, Miguel C. Soriano, Gordon Pipa, Raul Vicente
Assessing coupling dynamics from an ensemble of time series CoRR (2010)