Publications

Time delay reservoir computing with a silicon microring resonator and a fiber-based optical feedback loop

Donati, Giovanni; Argyris, Apostolos; Mancinelli, Mattia; Mirasso, Claudio R.; Pavesi, Lorenzo
Optics Express 32 (8), 13419-13437 (2024)

Modeling circuit mechanisms of opposing cortical responses to visual flow perturbations

Galván Fraile, J; Scherr, F; Ramasco, J. J.; Arkhipov, A.; Maass, W; Mirasso, C. R.
Plos Computational Biology 20, e1011921 (2024)

Experimental multi-bit header classification at 28.5 Gb/s with step-index few-mode fibers

Pflüger, Moritz; Ortín, Silvia; Leininger, Lars; Mirasso, Claudio R.; Argyris, Apostolos
Submitted (2024)

Time and wavelength multiplexing in photonic neural networks

Jiménez González, Pedro (advisors: Miguel C. Soriano, Claudio R. Mirasso)
Master Thesis (2023)

Exploiting oscillatory dynamics of delay systems for reservoir computing

Goldmann, Mirko; Fischer, Ingo ; Mirasso, Claudio R.; Soriano, Miguel C.
Chaos 33, 093139 (2023)

Editorial: Insights into the mechanisms of transcranial electrical stimulation

Manjarrez, E.; Campana, G. Mirasso, C.; Battelli, L.
Frontiers in Neuroscience 17, 1286239 (2023)

Understanding the effects of cortical gyrification in tACS: insights from experiments and computational models

Cabrera-Álvarez, J.; Sánchez-Claros, J.; Carrasco-Gómez, M.; del Cerro-León, A.; Gómez-Ariza, C. J.; Maestú, F.; Mirasso, C. R.; Susi, G.
Frontiers in Neurosciences 17, 1223950 (2023)

A time-delay reservoir computing neural network based on a single microring resonator with external optical feedback

Donati, Giovanni (Supervisors: A. Argyris, C.R. Mirasso, L. Pavesi)
PhD Thesis (2023)

Implementation of input correlation learning with an optoelectronic dendritic unit

Ortín, Silvia; Soriano, Miguel Cornelles; Tetzlaff, Christian; Wörgötter, Florentin; Fischer, Ingo; Mirasso, Claudio Rubén.; Argyris, Apostolos
Frontiers in Physics 11, 1112295 (1-11) (2023)

Ordinal analysis of lexical patterns

Sánchez, David; Zunino, Luciano; De Gregorio, Juan; Toral, Raúl; Mirasso, Claudio
Chaos 33, 033121 (1-12) (2023)

Learn one size to infer all: Exploiting translational symmetries in delay-dynamical and spatiotemporal systems using scalable neural networks

Goldmann, Mirko; Mirasso, Claudio R.; Fischer, Ingo; Soriano, Miguel C.
Physical Review E 106, 044211 (2022)

IN SEARCH OF ANTICIPATED SYNCHRONIZATION IN THE DENTATE GYRUS

Chalkiadakis, Dimitrios (advisors: Claudio R. Mirasso and Panayiota Poirazi)
Master Thesis (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)

Noise effects on time delay reservoir computing using silicon microring resonators

Donati, Giovanni; (Argyris, Apostolos; Mancinelli, Mattia; Mirasso, Claudio Ruben; Pavesi, Lorenzo; )
Integrated Optics: Devices, Materials, and Technologies XXVI, SPIE, 12004, 219--226 (2022)

Microring resonators with external optical feedback for time delay reservoir computing

Donati, Giovanni; Mirasso, Claudio R.; Mancinelli, Mattia; Pavesi, Lorenzo; Argyris, Apostolos
Optics Express 30, 1, 522-537 (2022)

Modeling the cortical-hippocampal connectivity to resemble in vitro Multi-Electrode recordings.

Bernasconi, Eleonora (Advisors: Claudio Mirasso and Paolo Massobrio)
Master Thesis presented at the University of Genova (2021)

Study on the role of inhibition on granule cells of the dentate gyrus in the propagation of activity and computation in the hippocampus

Cristian Estarellas Martín (Supervisors: Claudio Mirasso and Santiago Canals)
PhD Thesis (2021)

Unveiling the role of plasticity rules in reservoir computing

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

Information Transmission in Delay-Coupled Neuronal Circuits in the Presence of a Relay Population

Sánchez-Claros, Jaime ; Pariz, Aref; Valizadeh, Alireza; Canals, Santiago; Mirasso, Claudio
Frontiers in Systems Neuroscience 15, 705371: 1-16 (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)

Transmission delays and frequency detuning can regulate information flow between brain regions

Pariz, A., Fischer, I., Valizadeh, A. Mirasso, C.
Plos Computational Biology 17, e1008129 (2021)

nMNSD—A Spiking Neuron-Based Classifier That Combines Weight-Adjustment and Delay-Shift

Susi, G.; Antón-Toro, L. F.; Maestú, F.; Pereda, E.; Mirasso, C.
Frontiers in Neuroscience 15, Article 582608 (2021)

Editorial on the Research Topic Fundamentals and Applications of AI: An Interdisciplinary Perspective

Eguiluz, V.; Mirasso, C. R.; Vicente, R.
Frontiers in Physics Interdisciplinary Physics 19, (2021)

Cognition, collective behaviors & consciousness

Canals, S.; Bartumeus, F.; Gomez-Marin, A.; Martinez-Otero, L.; Marquez, C.; Valverde, S.; Hernandez-Garcia, E.; Lopez, C.; Mirasso, C.; del Castillo, D.; Rocon, E.; Criado-Boado, F.; Palmer, J.R.B.; Castellanos, N.; Diex, G.; Maestu, F.
in Brain, Mind and Behaviour (edited by Herrera E. and Esteban, J.A.), Consejo Superior de Investigaciones Cientificas, 41-57 (2021)

Analysis and simulation of a Palma de Mallorca hospital emergency department

Aviñó, Laura (Advisors: Raúl Toral, Claudio Mirasso, Ángel del Río)
Master Thesis (2020)

Efecto de la COVID-19 en Baleares: un estudio interdisciplinar

Mirasso, C. R. Ed.
MEDICINA BALEAR - ESPECIAL COVID 19 35, 24-33 (2020)

Dynamic Information Routing in Neuronal Circuits

Jorge Medina Hernández (Advisors: Mirasso, Claudio R.; Eguíluz, Víctor M. )
Master Thesis (2020)

Frequency-dependent organization of the brain's functional network through delayed-interactions

Ziaeemehr, A.; Zarei, M.; Valizadeh, A.; Mirasso, C. R.
Neural Networks 132, 155-165 (2020)

Different theta frameworks coexist in the rat hippocampus and are coordinated during memory-guided and novelty tasks

Lopez-Madrona, V.; Pérez-Montoyo, E.; Álvarez-Salvado, E.; Moratal, D.; Herreras, O.; Pereda, E.; Mirasso, C.; Canals, S.
eLife 9, e57313 (1-35) (2020)

Characterizing signal encoding and transmission in class I and class II neurons via ordinal time-series analysis

Estarellas, C.; Masoliver, M.; Masoller, C.; Mirasso, C.
Chaos 30, 013123 (1-15) (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)

Inferring correlations associated to causal interactions in brain signals using autoregressive models

López Madrona, V.; Matias, F; Mirasso, C. R., Canals, S.; Pereda, E.
Scientific Reports 9, 17041 (2019)

Constructive role of plasticity rules in reservoir computing

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

Data analysis and modeling of patient flow in emergency services in hospitals

Perelló, Joan (Supervisors: Raul Toral, Claudio Mirasso)
Master Thesis (2019)

Exploring the Phase-Locking Mechanisms Yielding Delayed and Anticipated Synchronization in Neuronal Circuits

Dalla Porta, L.; Matias, F. S.; dos Santos, A. J.; Alonso, A.; Carelli, P. V.; Copelli, M.; Mirasso, C. R.
Frontiers in Systems Neuroscience 13, 41 (2019)

Anticipation via canards in excitable systems

Koksal Ersoz, Elif; ,Desroches, Mathieu; Mirasso, Claudio R.; and Rodrigues, Sera fim
Chaos 29, 013111 (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)

A Neuro-Inspired System for Online Learning and Recognition of Parallel Spike Trains, Based on Spike Latency, and Heterosynaptic STDP

Susi, G.; Tioro, L.; Canuet, L., López, M. A., Maestú, F.; Mirasso, C. R. and Pereda, E.
Frontiers in Neuroscience 12, 780 (2018)

Application of a neural mass model to study phase-amplitude coupling

Óscar Gómez Fontana (Supervisor Claudio Mirasso)
Master Thesis (2018)

La Emulación del Cerebro

Mirasso, C; Pereda, E.; Maestu, F.; Vicente, R.
, RBA Editores (2018)

High frequency neurons determine effective connectivity in neuronal networks

Pariz, A.; Esfahani Z. G.; Parsi, S. S.; Valizadeh, A.; Canals, S.; Mirasso, C. R.
Neuroimage 166, 349-359 (2018)

Synchronization in a Neural Mass Model

Alonso, Ana (Supervisor: Mirasso, C.)
Master Thesis (2017)

Anticipated and zero-lag synchronization in motifs of delay-coupled systems

Mirasso, C. R.; Carelli, P., Pereira, T.; Matias, F; Copelli, M.
Chaos 27, 114305 (2017)

Automated Detection of Epileptic Biomarkers in Resting-State Interictal MEG Data

Soriano, M. C.; Niso, G.; Clements, J.; Ortín, S.; Carrasco, S.; Gudín, M.; Mirasso, C. R.; Pereda, E.
Frontiers in Neuroinformatics 11, 43 (2017)

Anticipated synchronization in neuronal circuits unveiled by a phase response curve analysis

Matias, F.; Crelli, P., Mirasso, C.; Copelli, M.
Physical Review E 95, 052410 (2017)

On the role of the entorhinal cortex in the effective connectivity of the hippocampal formation

López-Madrona, V.; Matias,F.; Pereda, E.; Canals, S.; Mirasso, C.
Chaos 27, 047401 (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)

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)

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