Publicaciones en las que colabora con FRANCISCO NAVEROS ARRABAL (13)

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. 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. A Basal ganglia computational model to explain the paradoxical sensorial improvement in the presence of huntington's disease

    International Journal of Neural Systems, Vol. 30, Núm. 10

  2. 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