CIRUGÍA Y SUS ESPECIALIDADES
Departamento
NICETO RAFAEL
LUQUE SOLA
PROFESOR CONTRATADO DOCTOR
Publicaciones en las que colabora con NICETO RAFAEL LUQUE SOLA (28)
2023
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Bidirectional recurrent learning of inverse dynamic models for robots with elastic joints: a real-time real-world implementation
Frontiers in Neurorobotics, Vol. 17
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Corrigendum to “Electrical coupling regulated by GABAergic nucleo-olivary afferent fibres facilitates cerebellar sensory–motor adaptation” [Neural Netw. 155 (2022) 422–438, (S0893608022003203), (10.1016/j.neunet.2022.08.020)]
Neural Networks
2022
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Electrical coupling regulated by GABAergic nucleo-olivary afferent fibres facilitates cerebellar sensory–motor adaptation
Neural Networks, Vol. 155, pp. 422-438
2021
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A cerebellar-based solution to the nondeterministic time delay problem in robotic control
Science Robotics, Vol. 6, Núm. 58
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On robot compliance: A cerebellar control approach
IEEE Transactions on Cybernetics, Vol. 51, Núm. 5, pp. 2476-2489
2020
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VOR Adaptation on a Humanoid iCub Robot Using a Spiking Cerebellar Model
IEEE Transactions on Cybernetics, Vol. 50, Núm. 11, pp. 4744-4757
2019
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Spike burst-pause dynamics of Purkinje cells regulate sensorimotor adaptation
PLoS Computational Biology, Vol. 15, Núm. 3
2018
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A Metric for Evaluating Neural Input Representation in Supervised Learning Networks
Frontiers in Neuroscience, Vol. 12
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Exploring Vestibulo-Ocular Adaptation in a Closed-Loop Neuro-Robotic Experiment Using STDP. A Simulation Study
IEEE International Conference on Intelligent Robots and Systems
2017
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Event- and time-driven techniques using parallel CPU-GPU co-processing for spiking neural networks
Frontiers in Neuroinformatics, Vol. 11
2016
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Distributed Circuit Plasticity: New Clues for the Cerebellar Mechanisms of Learning
Cerebellum, Vol. 15, Núm. 2, pp. 139-151
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Distributed cerebellar motor learning: A spike-timing-dependent plasticity model
Frontiers in Computational Neuroscience, Vol. 10, Núm. MAR
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Modeling the cerebellar microcircuit: New strategies for a long-standing issue
Frontiers in Cellular Neuroscience, Vol. 10, Núm. JULY
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Spiking neural network with distributed plasticity reproduces cerebellar learning in eye blink conditioning paradigms
IEEE Transactions on Biomedical Engineering, Vol. 63, Núm. 1, pp. 210-219
2015
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A Spiking Neural Simulator Integrating Event-Driven and Time-Driven Computation Schemes Using Parallel CPU-GPU Co-Processing: A Case Study
IEEE Transactions on Neural Networks and Learning Systems, Vol. 26, Núm. 7, pp. 1567-1574
2014
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Adaptive robotic control driven by a versatile spiking cerebellar network
PLoS ONE, Vol. 9, Núm. 11
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Fast convergence of learning requires plasticity between inferior olive and deep cerebellar nuclei in a manipulation task: A closed-loop robotic simulation
Frontiers in Computational Neuroscience, Vol. 8, Núm. AUG
2013
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Adaptive and predictive control of a simulated robot arm
International Journal of Neural Systems, Vol. 23, Núm. 3
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Distributed cerebellar plasticity implements adaptable gain control in a manipulation task: A closed-loop robotic simulation
Frontiers in Neural Circuits, Vol. 7, Núm. OCT
2012
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An integrated motor control loop of a human-like robotic arm: Feedforward, feedback and cerebellum-based learning
Proceedings of the IEEE RAS and EMBS International Conference on Biomedical Robotics and Biomechatronics