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Jesús A Garrido

Showing results (1-10 of 16) with videos related to

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Frontiers in Computational Neuroscience|May 31, 2013
Spike timing regulation on the millisecond scale by distributed synaptic plasticity at the cerebellum input stage: a simulation studyJesús A Garrido, Eduardo Ros, Egidio D'Angelo
Frontiers in Neural Circuits|October 17, 2013
Distributed cerebellar plasticity implements adaptable gain control in a manipulation task: a closed-loop robotic simulationJesús A Garrido, Niceto R Luque, Egidio D'Angelo, et al.
International Journal of Neural Systems|August 26, 2020
A Basal Ganglia Computational Model to Explain the Paradoxical Sensorial Improvement in the Presence of Huntington's DiseaseÁlvaro González-Redondo, Francisco Naveros, Eduardo Ros, et al.
International Journal of Neural Systems|April 16, 2016
Oscillation-Driven Spike-Timing Dependent Plasticity Allows Multiple Overlapping Pattern Recognition in Inhibitory Interneuron NetworksJesús A Garrido, Niceto R Luque, Silvia Tolu, et al.
Frontiers in Cellular Neuroscience|August 9, 2020
Optimization of Efficient Neuron Models With Realistic Firing Dynamics. The Case of the Cerebellar Granule CellMilagros Marín, María José Sáez-Lara, Eduardo Ros, et al.
Scientific Reports|November 25, 2025
A computational model of the cerebellar granular layer calibrated to experimental data for studying inhibition and sensory encodingMaría P Tirado, Eva M Ortigosa, Eduardo Ros, et al.
International Journal of Neural Systems|May 1, 2013
Adaptive and predictive control of a simulated robot armSilvia Tolu, Mauricio Vanegas, Jesús A Garrido, et al.
Biological Cybernetics|August 22, 2012
Bio-inspired adaptive feedback error learning architecture for motor controlSilvia Tolu, Mauricio Vanegas, Niceto R Luque, et al.
Frontiers in Computational Neuroscience|September 2, 2014
Fast convergence of learning requires plasticity between inferior olive and deep cerebellar nuclei in a manipulation task: a closed-loop robotic simulationNiceto R Luque, Jesús A Garrido, Richard R Carrillo, et al.
International Journal of Neural Systems|July 27, 2012
From sensors to spikes: evolving receptive fields to enhance sensorimotor information in a robot-armNiceto R Luque, Jesús A Garrido, Jarno Ralli, et al.
Pageof 2

Showing results (1-10 of 16) with videos related to

Sort By:
Pageof 2
Frontiers in Computational Neuroscience|May 31, 2013
Spike timing regulation on the millisecond scale by distributed synaptic plasticity at the cerebellum input stage: a simulation studyJesús A Garrido, Eduardo Ros, Egidio D'Angelo
Frontiers in Neural Circuits|October 17, 2013
Distributed cerebellar plasticity implements adaptable gain control in a manipulation task: a closed-loop robotic simulationJesús A Garrido, Niceto R Luque, Egidio D'Angelo, et al.
International Journal of Neural Systems|August 26, 2020
A Basal Ganglia Computational Model to Explain the Paradoxical Sensorial Improvement in the Presence of Huntington's DiseaseÁlvaro González-Redondo, Francisco Naveros, Eduardo Ros, et al.
International Journal of Neural Systems|April 16, 2016
Oscillation-Driven Spike-Timing Dependent Plasticity Allows Multiple Overlapping Pattern Recognition in Inhibitory Interneuron NetworksJesús A Garrido, Niceto R Luque, Silvia Tolu, et al.
Frontiers in Cellular Neuroscience|August 9, 2020
Optimization of Efficient Neuron Models With Realistic Firing Dynamics. The Case of the Cerebellar Granule CellMilagros Marín, María José Sáez-Lara, Eduardo Ros, et al.
Scientific Reports|November 25, 2025
A computational model of the cerebellar granular layer calibrated to experimental data for studying inhibition and sensory encodingMaría P Tirado, Eva M Ortigosa, Eduardo Ros, et al.
International Journal of Neural Systems|May 1, 2013
Adaptive and predictive control of a simulated robot armSilvia Tolu, Mauricio Vanegas, Jesús A Garrido, et al.
Biological Cybernetics|August 22, 2012
Bio-inspired adaptive feedback error learning architecture for motor controlSilvia Tolu, Mauricio Vanegas, Niceto R Luque, et al.
Frontiers in Computational Neuroscience|September 2, 2014
Fast convergence of learning requires plasticity between inferior olive and deep cerebellar nuclei in a manipulation task: a closed-loop robotic simulationNiceto R Luque, Jesús A Garrido, Richard R Carrillo, et al.
International Journal of Neural Systems|July 27, 2012
From sensors to spikes: evolving receptive fields to enhance sensorimotor information in a robot-armNiceto R Luque, Jesús A Garrido, Jarno Ralli, et al.
Pageof 2