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Miguel C. Soriano
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2020 – today
- 2024
- [i8]Kaloyan Danovski, Miguel C. Soriano, Lucas Lacasa:
Dynamical stability and chaos in artificial neural network trajectories along training. CoRR abs/2404.05782 (2024) - [i7]Guillaume Pourcel, Mirko Goldmann, Ingo Fischer, Miguel C. Soriano:
Adaptive control of recurrent neural networks using conceptors. CoRR abs/2405.07236 (2024) - 2023
- [j14]Simone Scardapane, Claudio Gallicchio, Alessio Micheli
, Miguel C. Soriano
Guest Editorial: Trends in Reservoir Computing. Cogn. Comput. 15(5): 1407-1408 (2023) - [j13]Rodrigo Martínez-Peña
Information Processing Capacity of Spin-Based Quantum Reservoir Computing Systems. Cogn. Comput. 15(5): 1440-1451 (2023) - 2022
- [j12]Johannes Nokkala
High-Performance Reservoir Computing With Fluctuations in Linear Networks. IEEE Trans. Neural Networks Learn. Syst. 33(6): 2664-2675 (2022) - [j11]Benedikt Vettelschoss
Information Processing Capacity of a Single-Node Reservoir Computer: An Experimental Evaluation. IEEE Trans. Neural Networks Learn. Syst. 33(6): 2714-2725 (2022) - 2021
- [j10]Miguel C. Soriano
Time-Delay Identification Using Multiscale Ordinal Quantifiers. Entropy 23(8): 969 (2021) - [j9]Guillermo B. Morales, Claudio R. Mirasso, Miguel C. Soriano
Unveiling the role of plasticity rules in reservoir computing. Neurocomputing 461: 705-715 (2021) - [c2]Mirko Goldmann, Claudio R. Mirasso, Ingo Fischer
Exploiting transient dynamics of a time-multiplexed reservoir to boost the system performance. IJCNN 2021: 1-8 - [i6]Guillermo B. Morales, Claudio R. Mirasso, Miguel C. Soriano:
Unveiling the role of plasticity rules in reservoir computing. CoRR abs/2101.05848 (2021) - [i5]Daniel Brunner, Laurent Larger, Miguel C. Soriano:
Nonlinear photonic dynamical systems for unconventional computing. CoRR abs/2107.08874 (2021) - [i4]Mirko Goldmann, Claudio R. Mirasso, Ingo Fischer, Miguel C. Soriano:
Inferring untrained complex dynamics of delay systems using an adapted echo state network. CoRR abs/2111.03706 (2021)
2010 – 2019
- 2019
- [j8]Silvia Ortin
Automated real-time method for ventricular heartbeat classification. Comput. Methods Programs Biomed. 169: 1-8 (2019) - [c1]Miguel C. Soriano
Optoelectronic Reservoir Computing Using a Mixed Digital-Analog Hardware Implementation. ICANN (Workshop) 2019: 170-174 - 2017
- [j7]Miguel C. Soriano
Automated Detection of Epileptic Biomarkers in Resting-State Interictal MEG Data. Frontiers Neuroinformatics 11: 43 (2017) - 2015
- [j6]Germán Gómez-Herrero, Wei Wu
Assessing Coupling Dynamics from an Ensemble of Time Series. Entropy 17(4): 1958-1970 (2015) - [j5]Miguel C. Soriano
Minimal approach to neuro-inspired information processing. Frontiers Comput. Neurosci. 9: 68 (2015) - [j4]Michiel Hermans, Miguel C. Soriano, Joni Dambre, Peter Bienstman, Ingo Fischer:
Photonic delay systems as machine learning implementations. J. Mach. Learn. Res. 16: 2081-2097 (2015) - [j3]Miquel L. Alomar, Miguel C. Soriano
Digital Implementation of a Single Dynamical Node Reservoir Computer. IEEE Trans. Circuits Syst. II Express Briefs 62-II(10): 977-981 (2015) - [j2]Miguel Angel Escalona-Moran, Miguel C. Soriano
Electrocardiogram Classification Using Reservoir Computing With Logistic Regression. IEEE J. Biomed. Health Informatics 19(3): 892-898 (2015) - [j1]Miguel C. Soriano
Delay-Based Reservoir Computing: Noise Effects in a Combined Analog and Digital Implementation. IEEE Trans. Neural Networks Learn. Syst. 26(2): 388-393 (2015) - [i3]Michiel Hermans, Miguel C. Soriano, Joni Dambre, Peter Bienstman, Ingo Fischer:
Photonic Delay Systems as Machine Learning Implementations. CoRR abs/1501.02592 (2015) - 2014
- [i2]Nicholas D. Haynes, Miguel C. Soriano, Ingo Fischer, Daniel J. Gauthier:
Reservoir computing with a single time-delay autonomous Boolean node. CoRR abs/1411.1398 (2014) - 2010
- [i1]Germán Gómez-Herrero, Wei Wu, Kalle Rutanen, Miguel C. Soriano, Gordon Pipa, Raul Vicente:
Assessing coupling dynamics from an ensemble of time series. CoRR abs/1008.0539 (2010)
Coauthor Index
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