Niceto R. Luque

发表

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

Jesús Alberto Garrido, Richard R. Carrillo, Niceto R. Luque, 2014, Robotics Auton. Syst..

Adaptive Robotic Control Driven by a Versatile Spiking Cerebellar Network

Eduardo Ros, Alessandra Pedrocchi, Egidio D'Angelo, 2014, PloS one.

Internal Models in the Cerebellum: A Coupling Scheme for Online and Offline Learning in Procedural Tasks

Angelo Arleo, Niceto R. Luque, Jean-Baptiste Passot, 2010, SAB.

Spiking Neural Network With Distributed Plasticity Reproduces Cerebellar Learning in Eye Blink Conditioning Paradigms

Alessandra Pedrocchi, Jesús Alberto Garrido, Egidio D'Angelo, 2016, IEEE Transactions on Biomedical Engineering.

VOR Adaptation on a Humanoid iCub Robot Using a Spiking Cerebellar Model

Angelo Arleo, Eduardo Ros, Niceto R. Luque, 2020, IEEE Transactions on Cybernetics.

Spike burst-pause dynamics of Purkinje cells regulate sensorimotor adaptation

Angelo Arleo, Eduardo Ros, Richard R. Carrillo, 2019, PLoS Comput. Biol..

Distributed Cerebellar Motor Learning: A Spike-Timing-Dependent Plasticity Model

Eduardo Ros, Jesús Alberto Garrido, Egidio D'Angelo, 2016, Front. Comput. Neurosci..

A Metric for Evaluating Neural Input Representation in Supervised Learning Networks

Eduardo Ros, Richard R. Carrillo, Niceto R. Luque, 2018, Front. Neurosci..

Cerebellar spiking engine: Towards objet model abstraction in manipulation

Eduardo Ros, Jesús Alberto Garrido, Richard R. Carrillo, 2010, The 2010 International Joint Conference on Neural Networks (IJCNN).

Fast convergence of learning requires plasticity between inferior olive and deep cerebellar nuclei in a manipulation task: a closed-loop robotic simulation

Eduardo Ros, Jesús Alberto Garrido, Egidio D'Angelo, 2014, Front. Comput. Neurosci..

Bio-inspired adaptive feedback error learning architecture for motor control

Silvia Tolu, Eduardo Ros, Mauricio Vanegas, 2012, Biological Cybernetics.

Adaptive and Predictive Control of a Simulated Robot arm

Silvia Tolu, Eduardo Ros, Mauricio Vanegas, 2013, Int. J. Neural Syst..

Context Separability Mediated by the Granular Layer in a Spiking Cerebellum Model for Robot Control

Eduardo Ros, Jesús Alberto Garrido, Richard R. Carrillo, 2011, IWANN.

On Robot Compliance: A Cerebellar Control Approach

Eduardo Ros, Jesús Alberto Garrido, Niceto R. Luque, 2020, IEEE Transactions on Cybernetics.

Adaptive cerebellar Spiking Model Embedded in the Control Loop: Context Switching and Robustness against noise

Silvia Tolu, Eduardo Ros, Jesús Alberto Garrido, 2011, Int. J. Neural Syst..

Cerebellar Input Configuration Toward Object Model Abstraction in Manipulation Tasks

Eduardo Ros, Jesús Alberto Garrido, Richard R. Carrillo, 2011, IEEE Transactions on Neural Networks.

From Sensors to Spikes: Evolving Receptive Fields to Enhance Sensorimotor Information in a Robot-Arm

Eduardo Ros, Juan Luis Jiménez Laredo, Jesús Alberto Garrido, 2012, Int. J. Neural Syst..

A Spiking Neural Simulator Integrating Event-Driven and Time-Driven Computation Schemes Using Parallel CPU-GPU Co-Processing: A Case Study

Mancia Anguita, Eduardo Ros, Jesús Alberto Garrido, 2015, IEEE Transactions on Neural Networks and Learning Systems.

Exploring Vestibulo-Ocular Adaptation in a Closed-Loop Neuro-Robotic Experiment Using STDP. A Simulation Study

Angelo Arleo, Eduardo Ros, Niceto R. Luque, 2018, 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Event- and Time-Driven Techniques Using Parallel CPU-GPU Co-processing for Spiking Neural Networks

Eduardo Ros, Jesús Alberto Garrido, Richard R. Carrillo, 2017, Front. Neuroinform..

Oscillation-Driven Spike-Timing Dependent Plasticity Allows Multiple Overlapping Pattern Recognition in Inhibitory Interneuron Networks

Silvia Tolu, Jesús Alberto Garrido, Egidio D'Angelo, 2016, Int. J. Neural Syst..

Cerebellarlike Corrective Model Inference Engine for Manipulation Tasks

Eduardo Ros, Jesús Alberto Garrido, Richard R. Carrillo, 2011, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

Corrigendum: Event- and Time-Driven Techniques Using Parallel CPU-GPU Co-processing for Spiking Neural Networks

Eduardo Ros, Jesús Alberto Garrido, Richard R. Carrillo, 2018, Front. Neuroinform..

Event and Time Driven Hybrid Simulation of Spiking Neural Networks

Eduardo Ros, Jesús Alberto Garrido, Richard R. Carrillo, 2011, IWANN.

Coupling internal cerebellar models enhances online adaptation and supports offline consolidation in sensorimotor tasks

Angelo Arleo, Niceto R. Luque, Jean-Baptiste Passot, 2013, Front. Comput. Neurosci..

Distributed cerebellar plasticity implements adaptable gain control in a manipulation task: a closed-loop robotic simulation

Egidio D'Angelo, Eduardo Ros, Niceto R. Luque, 2013, Front. Neural Circuits.

Computational epidemiology study of homeostatic compensation during sensorimotor aging

Angelo Arleo, Eduardo Ros, Denis Sheynikhovich, 2021, Neural Networks.

A cerebellar-based solution to the nondeterministic time delay problem in robotic control

Eduardo Ros, Richard R. Carrillo, Niceto R. Luque, 2021, Science Robotics.

26th Annual Computational Neuroscience Meeting (CNS*2017): Part 2

Minoru Asada, Anders M. Dale, Anna Devor, 2017, BMC Neuroscience.