High-Performance Reservoir Computing With Fluctuations in Linear Networks

Nokkala, Johannes; Martínez-Peña, Rodrigo; Zambrini, Roberta; Soriano, Miguel C.
IEEE Transactions on Neural Networks and Learning Systems 33, 2664-2675 (2022)

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

Vettelschoss, Benedikt; Röhm, André; Soriano, Miguel C.
IEEE Transactions on Neural Networks and Learning Systems 33, 2714-2725 (2022)

Optical dendrites for spatio-temporal computing with few-mode fibers

Ortín, Silvia; Soriano, Miguel C.; Fischer, Ingo; Mirasso, Claudio R.; Argyris, Apostolos
Optical Materials Express 12 (5), 1907-1919 (2022)

Nonlinear Dynamics of a Single-Mode Semiconductor Laser with Long Delayed Optical Feedback: A Modern Experimental Characterization Approach

Porte, Xavier; Brunner, Daniel; Fischer, Ingo; Soriano, Miguel C.
Photonics 9, 47 (2022)

Nonlinear photonic dynamical systems for unconventional computing

Brunner, Daniel; Larger, Laurent; Soriano, Miguel C.
Nonlinear Theory and Its Applications, IEICE 13, 26-35 (2022)

Analytical Evidence of Nonlinearity in Qubits and Continuous-Variable Quantum Reservoir Computing

Mujal, Pere; Nokkala, Johannes; Martinez-Peña, Rodrigo; Giorgi, Gian Luca; Soriano, Miguel C.; Zambrini, Roberta
Journal of Physics: Complexity 2, 045008 (2021)

Unveiling the role of plasticity rules in reservoir computing

Morales, Guillermo B.; Mirasso, Claudio R.; Soriano, Miguel C.
Neurocomputing 461, 705-715 (2021)

Analog information processing with time-multiplexed optoelectronic systems

Goldmann, Mirko; Fischer, Ingo; Soriano, Miguel C.
Emerging Topics in Artificial Intelligence (ETAI) 2021, International Society for Optics and Photonics, 11804, 118041X (2021)

Quantum reservoir computing in bosonic networks

Mujal, Pere; Nokkala, Johannes; Martinez-Peña, Rodrigo; García-Beni, Jorge; Giorgi, Gian Luca; Soriano, Miguel C.; Zambrini, Roberta
Emerging Topics in Artificial Intelligence (ETAI) 2021, SPIE, International Society for Optics and Photonics, 11804, 20-29 (2021)

Dynamical phase transitions in quantum reservoir computing

Martínez-Peña, Rodrigo; Giorgi, Gian Luca; Nokkala, Johannes; Soriano, Miguel C.; Zambrini, Roberta
Physical Review Letters 127, 100502 (1-7) (2021)

Time-Delay Identification Using Multiscale Ordinal Quantifiers

Soriano, Miguel C.; Zunino, Luciano
Entropy 23, 969 (2021)

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

Goldmann, Mirko; Mirasso, Claudio R.; Fischer, Ingo; Soriano, Miguel C.
International Joint Conference on Neural Networks 2021, IEEE Computational Intelligence Society, International Neural Network Society, , (2021)

Opportunities in Quantum Reservoir Computing and Extreme Learning Machines

Mujal, Pere; Martínez-Peña, Rodrigo; Nokkala, Johannes; García-Beni, Jorge; Giorgi, Gian Luca; Soriano, Miguel C.; Zambrini, Roberta
Advanced Quantum Technologies , 2100027 (2021)

Gaussian states of continuous-variable quantum systems provide universal and versatile reservoir computing

Nokkala, Johannes;Martínez-Peña, Rodrigo;Giorgi, Gian Luca; Parigi, Valentina;Soriano, Miguel C.;Zambrini, Roberta
Communications Physics 4, 53 (2021)

Influence of Measurements on Continuous Variable Quantum Reservoir Computing

García Beni, Jorge (Advisors: Miguel C. Soriano and Roberta Zambrini)
Master Thesis (2021)

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 , (2021)

Fundamentals of Information Processing on an Analog Reservoir Computer

Vettelschoss, Benedikt (Supervisors: André Röhm and Miguel C. Soriano)
Master Thesis (2020)

Comparison of photonic reservoir computing systems for fiber transmission equalization

Argyris, A.; Cantero, J.; Galletero, M.; Pereda, E.; Mirasso, C. R.; Fischer, I.; Soriano, M. C.
IEEE Journal of Selected Topics in Quantum Electronics 26, 5100309 (2020)

Machine learning algorithms for predicting the amplitude of chaotic laser pulses

Amil, Pablo; Soriano, Miguel C.; Masoller, Cristina
Chaos 29, 113111 (2019)

Cross-predicting the dynamics of an optically injected single-mode semiconductor laser using reservoir computing

Cunillera, Alejandro; Soriano, Miguel C.; Fischer, Ingo
Chaos 29, 113113 (1-9) (2019)

Unraveling the decay of the number of unobserved ordinal patterns in noisy chaotic dynamics

Olivares, Felipe; Zunino, Luciano; Soriano, Miguel C.; Pérez, Darío G.
Physical Review E 100, 042215 (1-8) (2019)

Constructive Role of Noise for High-Quality Replication of Chaotic Attractor Dynamics Using a Hardware-Based Reservoir Computer

Estébanez, Irene; Fischer, Ingo; Soriano, Miguel C.
Physical Review Applied 12, 034058 (2019)

Multilayer reservoir computing to overcome the memory-nonlinearity trade-off

Jaume Suárez, Samuel (Supervisor: Miguel C. Soriano)
Master Thesis (2019)

Constructive role of plasticity rules in reservoir computing

Barrios, Guillermo (Supervisors: Miguel C. Soriano, Claudio Mirasso)
Master Thesis (2019)

Time delay systems for reservoir computing

Ortín, Silvia; Pesquera, Luis; Van der Sande, Guy; Soriano, Miguel C.
Photonic Reservoir Computing: Optical Recurrent Neural Networks, De Gruyter, 117-151 (2019)

Semiconductor lasers as reservoir substrates

Van der Sande, Guy; Soriano, Miguel C.
Photonic Reservoir Computing: Optical Recurrent Neural Networks, De Gruyter, 185-203 (2019)

A Fast Machine Learning Model for ECG-Based Heartbeat Classification and Arrhythmia Detection

Alfaras, Miquel; Soriano, Miguel C.; Ortín, Silvia
Frontiers in Physics 7, 103 (2019)

Information processing using optoelectronic delayed systems: Influence of an additional delay

Yelo, Jesús (Supervisor: Miguel C. Soriano)
Master Thesis (2019)

PHOTONIC RESERVOIR COMPUTING: Optical Recurrent Neural Networks

Brunner, Daniel; Soriano, Miguel C.: Van der Sande, Guy (Editors)
, De Gruyter (2019)

A unifying analysis of chaos synchronization and consistency in delay-coupled semiconductor lasers

Jungling, T.; Porte, X.; Oliver, N.; Soriano, M. C.; Fischer, I.
IEEE Journal of Selected Topics in Quantum Electronics 25, 1501609 (2019)

Automated real-time method for ventricular heartbeat classification

Ortín, Silvia; Soriano, Miguel C.; Alfaras, Miquel; Mirasso, Claudio R.
Computer Methods and Programs in Biomedicine 169, 1-8 (2019)

Phase space reconstruction of semiconductor laser dynamics using reservoir computing

Alejandro Cunillera Pérez (Supervisors: Ingo Fischer, Miguel C. Soriano)
Master Thesis (2019)

Machine Learning Applied to Quantum Synchronization-Assisted Probing

Garau Estarellas, Gabriel; Giorgi, Gian Luca; Soriano, Miguel C.; Zambrini, Roberta
Advanced Quantum Technologies 2, 1800085 (2019)

Autonomous dynamical systems based on hardware implementations of delay-reservoir computers

Irene Estébanez (Supervisors: Miguel C. Soriano, Ingo Fischer)
Master Thesis (2018)

Improving the quality of a collective signal in a consumer EEG headset

Morán, Alejandro; Soriano, Miguel C.
PLoS ONE 13, e0197597 (2018)

Consistency properties of chaotic systems driven by time-delayed feedback

Jüngling, Thomas; Soriano, Miguel C.; Oliver, Neus; Porte, Xavier; Fischer, Ingo.
Physical Review E 97, 042202 (1-13) (2018)

Photonic information processing at 20GS/s rates based on semiconductor lasers with delayed optical feedback

Bueno, Julián; Brunner, Daniel; Soriano, Miguel C.; Fischer, Ingo
2017 Lasers and Electro-Optics Europe & European Quantum Electronics Conference (CLEO/Europe-EQEC), IEEE, , (2017)

Role of dynamical injection locking and characteristic pulse events for low frequency fluctuations in semiconductor lasers

Hicke, K.; Brunner, D.; Soriano, M. C.; Fischer, I.
Chaos 27, 114307 (2017)

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Publicacions: Miguel C. Soriano

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