Francisco Naveros

Orcid: 0000-0003-4208-3871

Affiliations:
  • University of Granada, Research Centre for Information and Communications Technologies (CITIC-UGR), Spain


According to our database1, Francisco Naveros authored at least 17 papers between 2014 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

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Bibliography

2023
Corrigendum to "Electrical coupling regulated by GABAergic nucleo-olivary afferent fibres facilitates cerebellar sensory-motor adaptation" [Neural Netw. 155 (2022) 422-438].
Neural Networks, August, 2023

Reinforcement learning in a spiking neural model of striatum plasticity.
Neurocomputing, 2023

2022
Computational epidemiology study of homeostatic compensation during sensorimotor aging.
Neural Networks, 2022

Electrical coupling regulated by GABAergic nucleo-olivary afferent fibres facilitates cerebellar sensory-motor adaptation.
Neural Networks, 2022

2021
On Robot Compliance: A Cerebellar Control Approach.
IEEE Trans. Cybern., 2021

A cerebellar-based solution to the nondeterministic time delay problem in robotic control.
Sci. Robotics, 2021

2020
VOR Adaptation on a Humanoid iCub Robot Using a Spiking Cerebellar Model.
IEEE Trans. Cybern., 2020

A Basal Ganglia Computational Model to Explain the Paradoxical Sensorial Improvement in the Presence of Huntington's Disease.
Int. J. Neural Syst., 2020

A Metric for Evaluating Neural Input Representation in Supervised Learning Networks.
CoRR, 2020

2019
Spike burst-pause dynamics of Purkinje cells regulate sensorimotor adaptation.
PLoS Comput. Biol., 2019

2018
Corrigendum: Event- and Time-Driven Techniques Using Parallel CPU-GPU Co-processing for Spiking Neural Networks.
Frontiers Neuroinformatics, 2018

Exploring Vestibulo-Ocular Adaptation in a Closed-Loop Neuro-Robotic Experiment Using STDP. A Simulation Study.
Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

2017
Event- and Time-Driven Techniques Using Parallel CPU-GPU Co-processing for Spiking Neural Networks.
Frontiers Neuroinformatics, 2017

2016
Spiking Neural Network With Distributed Plasticity Reproduces Cerebellar Learning in Eye Blink Conditioning Paradigms.
IEEE Trans. Biomed. Eng., 2016

Distributed Cerebellar Motor Learning: A Spike-Timing-Dependent Plasticity Model.
Frontiers Comput. Neurosci., 2016

2015
A Spiking Neural Simulator Integrating Event-Driven and Time-Driven Computation Schemes Using Parallel CPU-GPU Co-Processing: A Case Study.
IEEE Trans. Neural Networks Learn. Syst., 2015

2014
Integrated neural and robotic simulations. Simulation of cerebellar neurobiological substrate for an object-oriented dynamic model abstraction process.
Robotics Auton. Syst., 2014


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