Publicaciones en las que colabora con RICHARD RAFAEL CARRILLO SÁNCHEZ (33)

2021

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

    Science Robotics, Vol. 6, Núm. 58

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

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

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

  2. Event-driven simulation of cerebellar granule cells

    BioSystems, Vol. 94, Núm. 1-2, pp. 10-17

  3. Local image phase, energy and orientation extraction using FPGAs

    International Journal of Electronics

2007

  1. A space variant mapping architecture for reliable car segmentation

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

  2. Dealing with the perspective distortion to detect overtaking cars for driving assistance

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

  3. Event-driven simulation of neural population synchronization facilitated by electrical coupling

    BioSystems, Vol. 87, Núm. 2-3, pp. 275-280