Publicacións (38) Publicacións de RICHARD RAFAEL CARRILLO SÁNCHEZ

2021

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

    Science Robotics, Vol. 6, Núm. 58

  2. On the Use of a Multimodal Optimizer for Fitting Neuron Models. Application to the Cerebellar Granule Cell

    Frontiers in Neuroinformatics, Vol. 15

2020

  1. Reconfigurable cyber-physical system for critical infrastructure protection in smart cities via smart video-surveillance

    Pattern Recognition Letters, Vol. 140, pp. 303-309

2019

  1. Spike burst-pause dynamics of Purkinje cells regulate sensorimotor adaptation

    PLoS Computational Biology, Vol. 15, Núm. 3

2018

  1. A Metric for Evaluating Neural Input Representation in Supervised Learning Networks

    Frontiers in Neuroscience, Vol. 12

2017

  1. Event- and time-driven techniques using parallel CPU-GPU co-processing for spiking neural networks

    Frontiers in Neuroinformatics, Vol. 11

2016

  1. Distributed cerebellar motor learning: A spike-timing-dependent plasticity model

    Frontiers in Computational Neuroscience, Vol. 10, Núm. MAR

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

  2. Erratum: Adaptive robotic control driven by a versatile spiking cerebellar network (PLoS ONE (2014) 9:11 (e112265) doi:10.1371/journal.pone.0112265)

    PLoS ONE

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

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

    Robotics and Autonomous Systems, Vol. 62, Núm. 12, pp. 1702-1716

2012

  1. Dynamics model abstraction scheme using radial basis functions

    Journal of Control Science and Engineering, Vol. 2012

2011

  1. Adaptive cerebellar spiking model embedded in the control loop: Context switching and robustness against noise

    International Journal of Neural Systems, Vol. 21, Núm. 5, pp. 385-401

  2. Cerebellar input configuration toward object model abstraction in manipulation tasks

    IEEE Transactions on Neural Networks, Vol. 22, Núm. 8, pp. 1321-1328

  3. Cerebellarlike corrective model inference engine for manipulation tasks

    IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics, Vol. 41, Núm. 5, pp. 1299-1312

  4. Context separability mediated by the granular layer in a spiking cerebellum model for robot control

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

  5. Event and time driven hybrid simulation of spiking neural networks

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

2010

  1. Cerebellar spiking engine: Towards objet model abstraction in manipulation

    Proceedings of the International Joint Conference on Neural Networks

2008

  1. A real-time spiking cerebellum model for learning robot control

    BioSystems, Vol. 94, Núm. 1-2, pp. 18-27