Publicaciones en las que colabora con NICETO RAFAEL LUQUE SOLA (28)

2023

  1. Bidirectional recurrent learning of inverse dynamic models for robots with elastic joints: a real-time real-world implementation

    Frontiers in Neurorobotics, Vol. 17

  2. 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

  1. Electrical coupling regulated by GABAergic nucleo-olivary afferent fibres facilitates cerebellar sensory–motor adaptation

    Neural Networks, Vol. 155, pp. 422-438

2021

  1. A cerebellar-based solution to the nondeterministic time delay problem in robotic control

    Science Robotics, Vol. 6, Núm. 58

  2. On robot compliance: A cerebellar control approach

    IEEE Transactions on Cybernetics, Vol. 51, Núm. 5, pp. 2476-2489

2020

  1. VOR Adaptation on a Humanoid iCub Robot Using a Spiking Cerebellar Model

    IEEE Transactions on Cybernetics, Vol. 50, Núm. 11, pp. 4744-4757

2019

  1. Spike burst-pause dynamics of Purkinje cells regulate sensorimotor adaptation

    PLoS Computational Biology, Vol. 15, Núm. 3

2018

  1. A Metric for Evaluating Neural Input Representation in Supervised Learning Networks

    Frontiers in Neuroscience, Vol. 12

  2. 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

  1. Event- and time-driven techniques using parallel CPU-GPU co-processing for spiking neural networks

    Frontiers in Neuroinformatics, Vol. 11

2016

  1. Distributed Circuit Plasticity: New Clues for the Cerebellar Mechanisms of Learning

    Cerebellum, Vol. 15, Núm. 2, pp. 139-151

  2. Distributed cerebellar motor learning: A spike-timing-dependent plasticity model

    Frontiers in Computational Neuroscience, Vol. 10, Núm. MAR

  3. Modeling the cerebellar microcircuit: New strategies for a long-standing issue

    Frontiers in Cellular Neuroscience, Vol. 10, Núm. JULY

  4. 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

  1. 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

  1. Adaptive robotic control driven by a versatile spiking cerebellar network

    PLoS ONE, Vol. 9, Núm. 11

  2. 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

  1. Adaptive and predictive control of a simulated robot arm

    International Journal of Neural Systems, Vol. 23, Núm. 3

  2. 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

  1. 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