Publications

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)

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)

Modeling the Entorhinal Cortex - Dentate Gyrus Circuit

Estarellas, Cristian (Supervisor: Mirasso, C.)
Master Thesis (2016)

Inhibitory loop robustly induces anticipated synchronization in neuronal microcircuits

Matias, F. S.; Gollo, L. L.; Carelli, P., Mirasso, C., Copelli, M.
Physical Review E 94, 042411 (1-8) (2016)

A symbolic information approach to determine anticipated and delayed synchronization in neuronal circuit models

Montani, F.; Rosso, O.; Matias, F. S.; Bressler, S. and Mirasso, C. R.
Philosophical Transactions of the Royal Society A 373, 20150110 (2015)

Self-Organized Near-Zero-Lag Synchronization Induced by Spike-Timing Dependent Plasticity in Cortical Populations

Matias, F. S.; Carelli, P. V.; Mirasso, C. R.; Copelli, M.
PLoS ONE 10, e0140504 (1-18) (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)

Anticipated synchronization in coupled complex Ginzburg-Landau systems

Ciszak,M.;Mayol,C.;Mirasso,C.R.;Toral,R.
Physical Review E 92, 032911 (2015)

Computational Properties of Delay-Coupled Systems

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

Time learning in one cerebellar purkinje cell

Majoral, Daniel (Supervisor: Mirasso, C. R.)
Master Thesis , (2015)

Minimal approach to neuro-inspired information processing

Soriano, M. C.; Brunner, D.; Escalona-Moran, M.; Mirasso, C. R.; Fischer, I.
Frontiers in Computational Neuroscience 9, 68 (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)

Nuestro cerebro es capaz de anticiparse a lo que va a pasar

Mirasso, Claudio R.
Saberes y Ciencias 34, pag. 10 (2014)

Multivariate nonlinear time-series estimation using delay-based reservoir computing

Escalona-Morán, M. A.; Soriano, M. C.; García-Prieto, J.; Fischer, I.; Mirasso, C. R.
European Physical Journal Special Topics 223, 2903-2912 (2014)

Modelling positive Granger Causality and negative phase lag between cortical areas

Matias F. S.; Gollo, L. L., Carelli, P.; Bressler, S.; Copelli, M.; Mirasso, C. R.
Neuroimage 99, 411-418 (2014)

This web uses cookies for data collection with a statistical purpose. If you continue browsing, it means acceptance of the installation of the same.


More info I agree