Publicaciones en las que colabora con JESÚS ALBERTO GARRIDO ALCÁZAR (31)

2024

  1. Interactive simulations as a tool for logistics and maintenance of IFMIF-DONES

    Fusion Engineering and Design, Vol. 202

2023

  1. An efficient workflow for virtual reality simulation of maintenance tasks in IFMIF-DONES

    Progress in Nuclear Energy, Vol. 160

  2. Reinforcement learning in a spiking neural model of striatum plasticity

    Neurocomputing, Vol. 548

2021

  1. 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. Optimization of Efficient Neuron Models With Realistic Firing Dynamics. The Case of the Cerebellar Granule Cell

    Frontiers in Cellular Neuroscience, Vol. 14

  3. Simulation, visualization and analysis tools for pattern recognition assessment with spiking neuronal networks

    Neurocomputing, Vol. 400, pp. 309-321

2018

  1. 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

  2. Sparse pattern representation in a realistic recurrent spiking neural network

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2016

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

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

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

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

  3. Musculoskeletal Robots: Scalability in Neural Control

    IEEE Robotics and Automation Magazine, Vol. 23, Núm. 4, pp. 128-137

  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

  3. Spike timing regulation on the millisecond scale by distributed synaptic plasticity at the cerebellum input stage: A simulation study

    Frontiers in Computational Neuroscience