Niceto R. Luque

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Eduardo RosUniversity of Granada (UGR)Verified email at ugr.es
Jesús A. GarridoDepartment of Computer Engineering, Automation and Robotics, University of GranadaVerified email at ugr.es
Francisco Naveros ArrabalPostdoctoral researcher, University of Granada and Baylor College of MedicineVerified email at ugr.es
D' Angelo Egidio UgoUniversity of PaviaVerified email at unipv.it
Alessandra PedrocchiDEIB Dept. of Electronics Information and Bioengineering, Politecnico di MilanoVerified email at polimi.it
Angelo ArleoInstitute of Vision, CNRS INSERM UPMC, Paris, FranceVerified email at inserm.fr
Silvia ToluAssociate ProfessorVerified email at elektro.dtu.dk
Francesca PrestoriResearcher of Brain and Behavioral Sciences, Pavia UniversityVerified email at unipv.it
Lisa MapelliDept of Brain and Behavioral Sciences, University of PaviaVerified email at unipv.it
Olivier CoenenFounder Qelzal CorporationVerified email at kelzal.com
Mauricio VanegasSenior Embedded Engineer at BluetownVerified email at bluetown.com
Ignacio AbadíaPhD, Universidad de GranadaVerified email at ugr.es
Stefano CasaliUniversity of PaviaVerified email at unipv.it
Stefano MasoliAssistant professor, University of PaviaVerified email at unipv.it
Juan Luis Jimenez LaredoAssociate professor University of Le Havre NormandyVerified email at univ-lehavre.fr
Jarno RalliPost-doctoral researcher, University of Granada, SpainVerified email at atc.ugr.es
Giancarlo FerrignoProfessor of Biomedical Engineering, NearLab, DEIB, Politecnico di MilanoVerified email at polimi.it
Denis SheynikhovichVision Institute, Sorbonne UniversityVerified email at upmc.fr

Niceto R. Luque

Associate Professor. Department of Computer Engineering, Automation and Robotics. University of

Verified email at ugr.es - Homepage

Spiking Neural Networks Computational Cerebellar Models Cerebellar adaptation Synaptic Plasticity Neurorobotics


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Distributed cerebellar plasticity implements adaptable gain control in a manipulation task: a closed-loop robotic simulation JA Garrido, NR Luque, E D'Angelo, E Ros Frontiers in Neural Circuits 7, 159, 2013	84	2013
Distributed circuit plasticity: new clues for the cerebellar mechanisms of learning E D’Angelo, L Mapelli, C Casellato, JA Garrido, N Luque, J Monaco, ... The Cerebellum 15, 139-151, 2016	81	2016
Adaptive cerebellar spiking model embedded in the control loop: Context switching and robustness against noise NR Luque, JA Garrido, RR Carrillo, S Tolu, E Ros International journal of neural systems 21 (05), 385-401, 2011	79	2011
Adaptive robotic control driven by a versatile spiking cerebellar network C Casellato, A Antonietti, JA Garrido, RR Carrillo, NR Luque, E Ros, ... PLoS one 9 (11), e112265, 2014	73	2014
Modeling the cerebellar microcircuit: new strategies for a long-standing issue E D’Angelo, A Antonietti, S Casali, C Casellato, JA Garrido, NR Luque, ... Frontiers in cellular neuroscience 10, 176, 2016	71	2016
A spiking neural simulator integrating event-driven and time-driven computation schemes using parallel CPU-GPU co-processing: a case study F Naveros, NR Luque, JA Garrido, RR Carrillo, M Anguita, E Ros IEEE transactions on neural networks and learning systems 26 (7), 1567-1574, 2014	55	2014
Fast convergence of learning requires plasticity between inferior olive and deep cerebellar nuclei in a manipulation task: a closed-loop robotic simulation NR Luque, JA Garrido, RR Carrillo, E D'Angelo, E Ros Frontiers in computational neuroscience 8, 97, 2014	53	2014
Cerebellarlike corrective model inference engine for manipulation tasks NR Luque, JA Garrido, RR Carrillo, JMDC Olivier, E Ros IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 41 …, 2011	52	2011
Spiking neural network with distributed plasticity reproduces cerebellar learning in eye blink conditioning paradigms A Antonietti, C Casellato, JA Garrido, NR Luque, F Naveros, E Ros, ... IEEE Transactions on Biomedical Engineering 63 (1), 210-219, 2015	48	2015
Cerebellar input configuration toward object model abstraction in manipulation tasks NR Luque, JA Garrido, RR Carrillo, JMDC Olivier, E Ros IEEE Transactions on Neural Networks 22 (8), 1321-1328, 2011	42	2011
Oscillation-driven spike-timing dependent plasticity allows multiple overlapping pattern recognition in inhibitory interneuron networks JA Garrido, NR Luque, S Tolu, E D’Angelo International journal of neural systems 26 (05), 1650020, 2016	39	2016
Distributed cerebellar motor learning: a spike-timing-dependent plasticity model NR Luque, JA Garrido, F Naveros, RR Carrillo, E D'Angelo, E Ros Frontiers in computational neuroscience 10, 17, 2016	37	2016
Bio-inspired adaptive feedback error learning architecture for motor control S Tolu, M Vanegas, NR Luque, JA Garrido, E Ros Biological cybernetics 106, 507-522, 2012	37	2012
Adaptive and predictive control of a simulated robot arm S Tolu, M Vanegas, JA Garrido, NR Luque, E Ros International journal of neural systems 23 (03), 1350010, 2013	36	2013
Event-and time-driven techniques using parallel CPU-GPU co-processing for spiking neural networks F Naveros, JA Garrido, RR Carrillo, E Ros, NR Luque Frontiers in neuroinformatics 11, 7, 2017	35	2017
FROM SENSORS TO SPIKES: EVOLVING RECEPTIVE FIELDS TO ENHANCE SENSORIMOTOR INFORMATION IN A ROBOT-ARM NR LUQUE, JA GARRIDO, J RALLI, JJ LAREDO, E ROS International Journal of Neural Systems 22 (04), 2012	33	2012
VOR adaptation on a humanoid iCub robot using a spiking cerebellar model F Naveros, NR Luque, E Ros, A Arleo IEEE transactions on cybernetics 50 (11), 4744-4757, 2019	28	2019
Event and time driven hybrid simulation of spiking neural networks JA Garrido, RR Carrillo, NR Luque, E Ros Advances in Computational Intelligence: 11th International Work-Conference …, 2011	22	2011
On robot compliance: A cerebellar control approach I Abadia, F Naveros, JA Garrido, E Ros, NR Luque IEEE transactions on cybernetics 51 (5), 2476-2489, 2019	19	2019
Spike burst-pause dynamics of Purkinje cells regulate sensorimotor adaptation NR Luque, F Naveros, RR Carrillo, E Ros, A Arleo PLoS computational biology 15 (3), e1006298, 2019	19	2019

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