2. Publicacions

Publicacions

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)

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 , (2021)

Time-Delay Identification Using Multiscale Ordinal Quantifiers

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

Unveiling the role of plasticity rules in reservoir computing

Morales, Guillermo B.; Mirasso, Claudio R.; Soriano, Miguel C.
Neurocomputing , (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)

Improved detection of collective rhythms in multi-channel electroencephalography signals

Morán Costoya, Alejandro (Supervisor: Soriano, Miguel C.)
Master Thesis (2017)

Advances in photonic reservoir computing

Van der Sande, G.; Brunner, D.; Soriano, M. C.
Nanophotonics 6, 561-576 (2017)

Encryption key distribution via chaos synchronization

Keuninckx, L.; Soriano, M. C.; Fischer, I.; Mirasso, C. R.; Nguimdo, R. M.; Van der Sande, G.
Scientific Reports 7, 43428 (2017)

Viewpoint: Reservoir Computing Speeds Up

Soriano, Miguel C.
Physics, 10, 12 (2017)

Conditions for reservoir computing performance using semiconductor lasers with delayed optical feedback

Bueno, Julian; Brunner, Daniel; Soriano, Miguel C.; Fischer, Ingo
Optics Express 25 (3), 2401-2412 (2017)

Photonic Reservoir Computing for Ultra-Fast Information Processing Using Semiconductor Lasers

Fischer, Ingo; Bueno, Julian; Brunner, Daniel; Soriano, Miguel C.; Mirasso, Claudio
Proceedings of ECOC 2016 (42nd European Conference and Exhibition on Optical Communications), VDE VERLAG GMBH (Berlin, Offenbach), , 336-338 (2016)

Bidirectional private key exchange using delay-coupled semiconductor lasers

Porte, Xavier; Soriano, Miguel C.; Brunner, Daniel; Fischer, Ingo
Optics Letters 41, 2871-2874 (2016)

Photonic delay systems as machine learning implementations

Hermans, M.; Soriano, M. C.; Dambre, J.; Bienstman, P.; Fischer, I.
Journal of Machine Learning Research 16, 2081-2097 (2015)

Complex dynamics of delay-coupled lasers: fundamentals and applications

Porte, Xavier (Supervisors: Ingo Fischer, Miguel C. Soriano)
PhD Thesis (2015)

Photonic Reservoir Computing: The role of the Mach-Zehnder modulator

Alfaras Espinàs, Miquel (Supervisors: Fischer, Ingo; Soriano, Miguel C.)
Master Thesis (2015)

A Unified Framework for Reservoir Computing and Extreme Learning Machines based on a Single Time-delayed Neuron

Ortín, Silvia; Soriano, Miguel C.; Pesquera, Luis; Brunner, Daniel; San-Martín, Daniel; Fischer, Ingo; Mirasso, Claudio R.; Gutiérrez, José Manuel
Scientific Reports 5, 14945 (2015)

Digital Implementation of a Single Dynamical Node Reservoir Computer

Alomar, M. L.; Soriano, M. C.; Escalona-Moran, M.; Canals, V.; Fischer, I.; Mirasso, C. R.; Rossello, J. L.
IEEE Transactions on Circuits and Systems II: Express Briefs 62, 977-981 (2015)

Computational Properties of Delay-Coupled Systems

Escalona Morán, Miguel Ángel (Supervisors: Claudio R. Mirasso, Miguel C. Soriano)
PhD Thesis (2015)

Experimental Phase-Space Tomography of Semiconductor Laser Dynamics

Brunner, Daniel; Soriano, Miguel C.; Porte, Xavier; Fischer, Ingo
Physical Review Letters 115, 053901 (2015)

Dynamical properties induced by state-dependent delays in photonic systems

Martínez-Llinàs, Jade; Porte, Xavier; Soriano, Miguel C.; Colet, Pere; Fischer, Ingo
Nature Communications 6, 8425 (2015)

Determining the sub-Lyapunov exponent of delay systems from time series

Jüngling, Thomas; Soriano, Miguel C.; Fischer, Ingo
Physical Review E 91, 062908 (1-9) (2015)

Electrocardiogram Classification using Reservoir Computing with Logistic Regression

Escalona-Moran, M. A.; Soriano, M. C.; Fischer, I.; Mirasso, C. R.
IEEE Journal of Biomedical and Health Informatics 19, 892-898 (2015)

Assessing coupling dynamics from an ensemble of time series

Gómez-Herrero, G.; Wu, W.; Rutanen, K.; Soriano, M. C.; Pipa, G.; Vicente, R.
Entropy 17, 1958-1970 (2015)

Reservoir computing with a single time-delay autonomous Boolean node

Haynes, Nicholas D.; Soriano, Miguel C.; Rosin, David P.; Fischer, Ingo; Gauthier, Daniel J.
Physical Review E 91, 020801(R)(1-5) (2015)

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

Soriano, Miguel C.; Ortín, Silvia; Keuninckx, Lars; Appeltant, Lennert; Danckaert, Jan; Pesquera, Luis; Van der Sande, Guy
IEEE Transactions on Neural Networks and Learning Systems 26, 388-393 (2015)

Aquesta web utilitza cookies per a la recollida de dades amb un propòsit estadístic. Si continues navegant, vol dir que acceptes la instal·lació de la cookie.


Més informació D'accord