Niceto R. Luque

Orcid: 0000-0002-0626-5048

According to our database1, Niceto R. Luque authored at least 31 papers between 2010 and 2024.

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

Timeline

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Bibliography

2024
The spinal cord facilitates cerebellar upper limb motor learning and control; inputs from neuromusculoskeletal simulation.
PLoS Comput. Biol., January, 2024

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

Bidirectional recurrent learning of inverse dynamic models for robots with elastic joints: a real-time real-world implementation.
Frontiers Neurorobotics, June, 2023

Multi-objective tuning for torque PD controllers of cobots.
CoRR, 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 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

Oscillation-Driven Spike-Timing Dependent Plasticity Allows Multiple Overlapping Pattern Recognition in Inhibitory Interneuron Networks.
Int. J. Neural Syst., 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

Fast convergence of learning requires plasticity between inferior olive and deep cerebellar nuclei in a manipulation task: a closed-loop robotic simulation.
Frontiers Comput. Neurosci., 2014

2013
Adaptive and Predictive Control of a Simulated Robot arm.
Int. J. Neural Syst., 2013

Coupling internal cerebellar models enhances online adaptation and supports offline consolidation in sensorimotor tasks.
Frontiers Comput. Neurosci., 2013

2012
From Sensors to Spikes: Evolving Receptive Fields to Enhance Sensorimotor Information in a Robot-Arm.
Int. J. Neural Syst., 2012

Bio-inspired adaptive feedback error learning architecture for motor control.
Biol. Cybern., 2012

2011
Cerebellarlike Corrective Model Inference Engine for Manipulation Tasks.
IEEE Trans. Syst. Man Cybern. Part B, 2011

Cerebellar Input Configuration Toward Object Model Abstraction in Manipulation Tasks.
IEEE Trans. Neural Networks, 2011

Adaptive cerebellar Spiking Model Embedded in the Control Loop: Context Switching and Robustness against noise.
Int. J. Neural Syst., 2011

Context Separability Mediated by the Granular Layer in a Spiking Cerebellum Model for Robot Control.
Proceedings of the Advances in Computational Intelligence, 2011

Event and Time Driven Hybrid Simulation of Spiking Neural Networks.
Proceedings of the Advances in Computational Intelligence, 2011

2010
Internal Models in the Cerebellum: A Coupling Scheme for Online and Offline Learning in Procedural Tasks.
Proceedings of the From Animals to Animats 11, 2010

Cerebellar spiking engine: Towards objet model abstraction in manipulation.
Proceedings of the International Joint Conference on Neural Networks, 2010


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