Reservoir computing with a single time-delay autonomous Boolean node. - Nicholas D. Haynes; Miguel C. Soriano; Ingo Fischer; Daniel J. Gauthier (CoRR, 2014)

Assessing Coupling Dynamics from an Ensemble of Time Series. - Germán Gómez-Herrero; Wei Wu 003; Kalle Rutanen; Miguel C. Soriano; Gordon Pipa; Raul Vicente (Entropy, 2015)

Minimal approach to neuro-inspired information processing. - Miguel C. Soriano; Daniel Brunner; Miguel Angel Escalona-Morán; Claudio R. Mirasso; Ingo Fischer (Frontiers Comput. Neurosci., 2015)

Photonic delay systems as machine learning implementations. - Michiel Hermans; Miguel C. Soriano; Joni Dambre; Peter Bienstman; Ingo Fischer (J. Mach. Learn. Res., 2015)

Digital Implementation of a Single Dynamical Node Reservoir Computer. - Miquel L. Alomar; Miguel C. Soriano; Miguel Angel Escalona-Morán; Vincent Canals; Ingo Fischer; Claudio R. Mirasso; José Luis Rosselló (IEEE Trans. Circuits Syst. II Express Briefs, 2015)

Electrocardiogram Classification Using Reservoir Computing With Logistic Regression. - Miguel Angel Escalona-Morán; Miguel C. Soriano; Ingo Fischer; Claudio R. Mirasso (IEEE J. Biomed. Health Informatics, 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)

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)

Optoelectronic Reservoir Computing Using a Mixed Digital-Analog Hardware Implementation. - Miguel C. Soriano; Pau Massuti-Ballester; Jesús Yelo; Ingo Fischer (ICANN (Workshop), 2019)

Automated real-time method for ventricular heartbeat classification. - Silvia Ortin; Miguel C. Soriano; Miquel Alfaras; Claudio R. Mirasso (Comput. Methods Programs Biomed., 2019)

Exploiting transient dynamics of a time-multiplexed reservoir to boost the system performance. - Mirko Goldmann; Claudio R. Mirasso; Ingo Fischer; Miguel C. Soriano (IJCNN, 2021)

Nonlinear photonic dynamical systems for unconventional computing. - Daniel Brunner; Laurent Larger; Miguel C. Soriano (CoRR, 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)

Time-Delay Identification Using Multiscale Ordinal Quantifiers. - Miguel C. Soriano; Luciano Zunino (Entropy, 2021)

Unveiling the role of plasticity rules in reservoir computing. - Guillermo B. Morales; Claudio R. Mirasso; Miguel C. Soriano (Neurocomputing, 2021)

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)

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)

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., 2023)

Guest Editorial: Trends in Reservoir Computing. - Simone Scardapane; Claudio Gallicchio; Alessio Micheli; Miguel C. Soriano (Cogn. Comput., 2023)

Comprehensive IoT-Driven Fleet Management System for Industrial Vehicles. - Mohammadali Farahpoor; Oscar Esparza; Miguel C. Soriano (IEEE Access, 2024)

Dynamical stability and chaos in artificial neural network trajectories along training. - Kaloyan Danovski; Miguel C. Soriano; Lucas Lacasa (CoRR, 2024)

Adaptive control of recurrent neural networks using conceptors. - Guillaume Pourcel; Mirko Goldmann; Ingo Fischer; Miguel C. Soriano (CoRR, 2024)

Dissipation as a resource for Quantum Reservoir Computing. - Antonio Sannia; Rodrigo Martínez-Peña; Miguel C. Soriano; Gian Luca Giorgi; Roberta Zambrini (Quantum, 2024)

Leveraging chaos in the training of artificial neural networks. - Pedro Jiménez-González; Miguel C. Soriano; Lucas Lacasa (CoRR, 2025)