Publicaciones (35) Publicaciones de NICETO RAFAEL LUQUE SOLA

2024

  1. The spinal cord facilitates cerebellar upper limb motor learning and control; inputs from neuromusculoskeletal simulation

    PLoS Computational Biology, Vol. 20, Núm. 1

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. Computational epidemiology study of homeostatic compensation during sensorimotor aging

    Neural Networks, Vol. 146, pp. 316-333

  2. 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. Oscillation-Driven Spike-Timing Dependent Plasticity Allows Multiple Overlapping Pattern Recognition in Inhibitory Interneuron Networks

    International Journal of Neural Systems, Vol. 26, Núm. 5

  5. 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

  2. Erratum: Adaptive robotic control driven by a versatile spiking cerebellar network (PLoS ONE (2014) 9:11 (e112265) doi:10.1371/journal.pone.0112265)

    PLoS ONE

2014

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

    PLoS ONE, Vol. 9, Núm. 11