Jesús A. Garrido
Affiliations: | Department of Computer Architecture and Technology | University of Granada, Granada, Andalucía, Spain |
Area:
cerebellum, computational neuroscience, plasticityWebsite:
https://www.ugr.es/~jesusgarrido/Google:
"Jesús Garrido"Mean distance: 15.16 (cluster 11) | S | N | B | C | P |
Cross-listing: Computational Biology Tree
Parents
Sign in to add mentor| Eduardo Ros Vidal | grad student | 2005-2011 | University of Granada |
| Egidio D'Angelo | post-doc | 2012-2014 | University of Pavia |
BETA: Related publications
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Publications
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| González-Redondo Á, Naveros F, Ros E, et al. (2020) A Basal Ganglia Computational Model to Explain the Paradoxical Sensorial Improvement in the Presence of Huntington's Disease. International Journal of Neural Systems. 2050057 |
| Marín M, Sáez-Lara MJ, Ros E, et al. (2020) Optimization of Efficient Neuron Models With Realistic Firing Dynamics. The Case of the Cerebellar Granule Cell. Frontiers in Cellular Neuroscience. 14: 161 |
| Galindo SE, Toharia P, Robles ÓD, et al. (2020) Simulation, visualization and analysis tools for pattern recognition assessment with spiking neuronal networks Neurocomputing. 400: 309-321 |
| Abadia I, Naveros F, Garrido JA, et al. (2019) On Robot Compliance: A Cerebellar Control Approach. Ieee Transactions On Cybernetics |
| Naveros F, Garrido JA, Carrillo RR, et al. (2018) Corrigendum: Event- and Time-Driven Techniques Using Parallel CPU-GPU Co-processing for Spiking Neural Networks. Frontiers in Neuroinformatics. 12: 24 |
| Naveros F, Garrido JA, Carrillo RR, et al. (2017) Event- and Time-Driven Techniques Using Parallel CPU-GPU Co-processing for Spiking Neural Networks. Frontiers in Neuroinformatics. 11: 7 |
| Rubchinsky LL, Ahn S, Klijn W, et al. (2017) 26th Annual Computational Neuroscience Meeting (CNS*2017): Part 2 Bmc Neuroscience. 18 |
| D'Angelo E, Antonietti A, Casali S, et al. (2016) Modeling the Cerebellar Microcircuit: New Strategies for a Long-Standing Issue. Frontiers in Cellular Neuroscience. 10: 176 |
| Garrido JA, Luque NR, Tolu S, et al. (2016) Oscillation-Driven Spike-Timing Dependent Plasticity Allows Multiple Overlapping Pattern Recognition in Inhibitory Interneuron Networks. International Journal of Neural Systems. 1650020 |
| Luque NR, Garrido JA, Naveros F, et al. (2016) Distributed Cerebellar Motor Learning: A Spike-Timing-Dependent Plasticity Model. Frontiers in Computational Neuroscience. 10: 17 |