| A spiking neural simulator integrating event-driven and time-driven computation schemes using parallel CPU-GPU co-processing: a case study F Naveros, NR Luque, JA Garrido, RR Carrillo, M Anguita, E Ros IEEE transactions on neural networks and learning systems 26 (7), 1567-1574, 2014 | 55 | 2014 |
| Spiking neural network with distributed plasticity reproduces cerebellar learning in eye blink conditioning paradigms A Antonietti, C Casellato, JA Garrido, NR Luque, F Naveros, E Ros, ... IEEE Transactions on Biomedical Engineering 63 (1), 210-219, 2015 | 48 | 2015 |
| Distributed cerebellar motor learning: a spike-timing-dependent plasticity model NR Luque, JA Garrido, F Naveros, RR Carrillo, E D'Angelo, E Ros Frontiers in computational neuroscience 10, 17, 2016 | 37 | 2016 |
| Event-and time-driven techniques using parallel CPU-GPU co-processing for spiking neural networks F Naveros, JA Garrido, RR Carrillo, E Ros, NR Luque Frontiers in neuroinformatics 11, 7, 2017 | 35 | 2017 |
| VOR adaptation on a humanoid iCub robot using a spiking cerebellar model F Naveros, NR Luque, E Ros, A Arleo IEEE transactions on cybernetics 50 (11), 4744-4757, 2019 | 28 | 2019 |
| On robot compliance: A cerebellar control approach I Abadia, F Naveros, JA Garrido, E Ros, NR Luque IEEE transactions on cybernetics 51 (5), 2476-2489, 2019 | 19 | 2019 |
| Spike burst-pause dynamics of Purkinje cells regulate sensorimotor adaptation NR Luque, F Naveros, RR Carrillo, E Ros, A Arleo PLoS computational biology 15 (3), e1006298, 2019 | 19 | 2019 |
| A cerebellar-based solution to the nondeterministic time delay problem in robotic control I Abadía, F Naveros, E Ros, RR Carrillo, NR Luque Science Robotics 6 (58), eabf2756, 2021 | 11 | 2021 |
| Integrated neural and robotic simulations. Simulation of cerebellar neurobiological substrate for an object-oriented dynamic model abstraction process NR Luque, RR Carrillo, F Naveros, JA Garrido, MJ Sáez-Lara Robotics and Autonomous Systems 62 (12), 1702-1716, 2014 | 10 | 2014 |
| CPU-GPU hybrid platform for efficient spiking neural-network simulation F Naveros, NR Luque, JA Garrido, RR Carrillo, E Ros BMC Neuroscience 14 (1), 1-2, 2013 | 8 | 2013 |
| A metric for evaluating neural input representation in supervised learning networks RR Carrillo, F Naveros, E Ros, NR Luque Frontiers in Neuroscience 12, 913, 2018 | 6 | 2018 |
| 26th annual computational neuroscience meeting (CNS* 2017): part 2 LL Rubchinsky, S Ahn, W Klijn, B Cumming, S Yates, V Karakasis, ... BMC Neuroscience 18, 1-79, 2017 | 2 | 2017 |
| Computational epidemiology study of homeostatic compensation during sensorimotor aging NR Luque, F Naveros, D Sheynikhovich, E Ros, A Arleo Neural Networks 146, 316-333, 2022 | 1 | 2022 |
| A Basal Ganglia Computational Model to Explain the Paradoxical Sensorial Improvement in the Presence of Huntington’s Disease Á González-Redondo, F Naveros, E Ros, JA Garrido International Journal of Neural Systems 30 (10), 2050057, 2020 | 1 | 2020 |
| Exploring vestibulo-ocular adaptation in a closed-loop neuro-robotic experiment using STDP. A simulation study F Naveros, JA Garrido, A Arleo, E Ros, NR Luque 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2018 | 1 | 2018 |
| Electrical coupling regulated by GABAergic nucleo-olivary afferent fibres facilitates cerebellar sensory-motor sensory–motor adaptation NR Luque, F Naveros, I Abadía, E Ros, A Arleo Neural Networks 155, 422-438, 2022 | | 2022 |
| A computational model of homeostatic cerebellar compensation of ageing in vestibulo-ocular reflex adaptation NR Luque, F Naveros, E Ros, A Arleo | | 2020 |
| Homeostatic cerebellar compensation of age-related changes of vestibulo-ocular reflex adaptation: a computational epidemiology study NR Luque, F Naveros, E Ros, A Arleo bioRxiv, 2020.08. 03.233833, 2020 | | 2020 |
| Simulation of nervous centres in closed-loop of perception-action F Naveros Universidad de Granada, 2017 | | 2017 |
| Flujo óptico variacional en plataformas paralelas GPU F Naveros, T Dıaz, J Ralli, E Ros, J Dıaz | | 2012 |
