Publicaciones en las que colabora con NICETO RAFAEL LUQUE SOLA (14)

2023

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

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

  2. 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. Integrated neural and robotic simulations. Simulation of cerebellar neurobiological substrate for an object-oriented dynamic model abstraction process

    Robotics and Autonomous Systems, Vol. 62, Núm. 12, pp. 1702-1716