Jesús A. Garrido
Jesús A. Garrido
Department of Computer Architecture and Technology, University of Granada
Verified email at ugr.es - Homepage
TitleCited byYear
Timing in the cerebellum: oscillations and resonance in the granular layer
E D'Angelo, SKE Koekkoek, P Lombardo, S Solinas, E Ros, J Garrido, ...
Neuroscience 162 (3), 805-815, 2009
1022009
Adaptive cerebellar spiking model embedded in the control loop: context switching and robustness against noise
NR Luque, JA Garrido, RR Carrillo, S Tolu, E Ros
International Journal of Neural Systems 21 (05), 385-401, 2011
652011
Distributed cerebellar plasticity implements adaptable gain control in a manipulation task: a closed-loop robotic simulation
JA Garrido, NR Luque, E D‘Angelo, E Ros
Frontiers in Neural Circuits 7, 159, 2013
602013
Adaptive robotic control driven by a versatile spiking cerebellar network
C Casellato, A Antonietti, JA Garrido, RR Carrillo, NR Luque, E Ros, ...
PloS one 9 (11), e112265, 2014
512014
Realistic modeling of neurons and networks: towards brain simulation.
E D'Angelo, S Solinas, J Garrido, C Casellato, A Pedrocchi, J Mapelli, ...
Functional neurology 28 (3), 153-166, 2013
472013
Cerebellar-like corrective-model abstraction engine for robot movement control
NR Luque, JA Garrido, RR Carrillo, O Coenen, E Ros
IEEE Transaction on system, man, and cybernetics-Part B 41 (5), 1299-1312, 2011
45*2011
Distributed circuit plasticity: new clues for the cerebellar mechanisms of learning
E D’Angelo, L Mapelli, C Casellato, JA Garrido, N Luque, J Monaco, ...
The Cerebellum 15 (2), 139-151, 2016
442016
Spike timing regulation on the millisecond scale by distributed synaptic plasticity at the cerebellum input stage: a simulation study
JA Garrido, E Ros, E D‘Angelo
Frontiers in Computational Neuroscience 7, 64, 2013
432013
Cerebellar input configuration toward object model abstraction in manipulation tasks
NR Luque, JA Garrido, RR Carrillo, JMDC Olivier, E Ros
IEEE Transactions on Neural Networks 22 (8), 1321-1328, 2011
342011
Fast convergence of learning requires plasticity between inferior olive and deep cerebellar nuclei in a manipulation task: a closed-loop robotic simulation
NR Luque, JA Garrido, RR Carrillo, E D’Angelo, E Ros
Frontiers in Computational Neuroscience 8, 97, 2014
332014
Modeling the cerebellar microcircuit: New strategies for a long-standing issue
E D’Angelo, A Antonietti, S Casali, C Casellato, JA Garrido, NR Luque, ...
Frontiers in cellular neuroscience 10, 176, 2016
312016
Integrated plasticity at inhibitory and excitatory synapses in the cerebellar circuit
L Mapelli, M Pagani, JA Garrido, E D’Angelo
Frontiers in cellular neuroscience 9, 169, 2015
312015
Spiking Neural Network with Distributed Plasticity Reproduces Cerebellar Learning in Eye Blink Conditioning Paradigms.
A Antonietti, C Casellato, J Garrido, N Luque, F Naveros, E Ros, ...
IEEE transactions on bio-medical engineering, 2015
302015
Distributed cerebellar plasticity implements generalized multiple-scale memory components in real-robot sensorimotor tasks
C Casellato, A Antonietti, JA Garrido, G Ferrigno, E D'Angelo, A Pedrocchi
Frontiers in computational neuroscience 9, 24, 2015
292015
From sensors to spikes: evolving receptive fields to enhance sensorimotor information in a robot-arm
NR Luque, JA Garrido, J Ralli, JJ Laredo, E Ros
International Journal of Neural Systems 22 (04), 2012
292012
A closed-loop neurobotic system for fine touch sensing
LL Bologna, J Pinoteau, JB Passot, JA Garrido, J Vogel, ER Vidal, A Arleo
Journal of neural engineering 10 (4), 046019, 2013
282013
Adaptive and predictive control of a simulated robot arm
S Tolu, M Vanegas, JA Garrido, NR Luque, E Ros
International journal of neural systems 23 (03), 1350010, 2013
282013
Bio-inspired adaptive feedback error learning architecture for motor control
S Tolu, M Vanegas, NR Luque, JA Garrido, E Ros
Biological cybernetics 106 (8-9), 507-522, 2012
282012
Scalability in Neural Control
C Richter, S Jentzsch, R Hostettler, JA Garrido, E Ros, A Knoll, ...
IEEE Robotics & Automation Magazine 1070 (9932/16), 2016
27*2016
A spiking neural simulator integrating event-driven and time-driven computation schemes using parallel CPU-GPU co-processing: a case study
F Naveros, NR Luque, JA Garrido, RR Carrillo, M Anguita, E Ros
IEEE transactions on neural networks and learning systems 26 (7), 1567-1574, 2015
272015
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Articles 1–20