Year |
Citation |
Score |
2020 |
González-Redondo Á, Naveros F, Ros E, Garrido JA. A Basal Ganglia Computational Model to Explain the Paradoxical Sensorial Improvement in the Presence of Huntington's Disease. International Journal of Neural Systems. 2050057. PMID 32840409 DOI: 10.1142/S0129065720500574 |
0.366 |
|
2020 |
Marín M, Sáez-Lara MJ, Ros E, Garrido JA. Optimization of Efficient Neuron Models With Realistic Firing Dynamics. The Case of the Cerebellar Granule Cell. Frontiers in Cellular Neuroscience. 14: 161. PMID 32765220 DOI: 10.3389/Fncel.2020.00161 |
0.433 |
|
2020 |
Galindo SE, Toharia P, Robles ÓD, Ros E, Pastor L, Garrido JA. Simulation, visualization and analysis tools for pattern recognition assessment with spiking neuronal networks Neurocomputing. 400: 309-321. DOI: 10.1016/J.Neucom.2020.02.114 |
0.426 |
|
2019 |
Abadia I, Naveros F, Garrido JA, Ros E, Luque NR. On Robot Compliance: A Cerebellar Control Approach. Ieee Transactions On Cybernetics. PMID 31647453 DOI: 10.1109/Tcyb.2019.2945498 |
0.393 |
|
2018 |
Naveros F, Garrido JA, Carrillo RR, Ros E, Luque NR. Corrigendum: Event- and Time-Driven Techniques Using Parallel CPU-GPU Co-processing for Spiking Neural Networks. Frontiers in Neuroinformatics. 12: 24. PMID 29755335 DOI: 10.3389/Fninf.2018.00024 |
0.312 |
|
2017 |
Naveros F, Garrido JA, Carrillo RR, Ros E, Luque NR. Event- and Time-Driven Techniques Using Parallel CPU-GPU Co-processing for Spiking Neural Networks. Frontiers in Neuroinformatics. 11: 7. PMID 28223930 DOI: 10.3389/Fninf.2017.00007 |
0.376 |
|
2017 |
Rubchinsky LL, Ahn S, Klijn W, Cumming B, Yates S, Karakasis V, Peyser A, Woodman M, Diaz-Pier S, Deraeve J, Vassena E, Alexander W, Beeman D, Kudela P, Boatman-Reich D, ... ... Garrido JA, et al. 26th Annual Computational Neuroscience Meeting (CNS*2017): Part 2 Bmc Neuroscience. 18. DOI: 10.1186/S12868-017-0371-2 |
0.688 |
|
2016 |
D'Angelo E, Antonietti A, Casali S, Casellato C, Garrido JA, Luque NR, Mapelli L, Masoli S, Pedrocchi A, Prestori F, Rizza MF, Ros E. Modeling the Cerebellar Microcircuit: New Strategies for a Long-Standing Issue. Frontiers in Cellular Neuroscience. 10: 176. PMID 27458345 DOI: 10.3389/Fncel.2016.00176 |
0.756 |
|
2016 |
Garrido JA, Luque NR, Tolu S, D'Angelo E. Oscillation-Driven Spike-Timing Dependent Plasticity Allows Multiple Overlapping Pattern Recognition in Inhibitory Interneuron Networks. International Journal of Neural Systems. 1650020. PMID 27079422 DOI: 10.1142/S0129065716500209 |
0.587 |
|
2016 |
Luque NR, Garrido JA, Naveros F, Carrillo RR, D'Angelo E, Ros E. Distributed Cerebellar Motor Learning: A Spike-Timing-Dependent Plasticity Model. Frontiers in Computational Neuroscience. 10: 17. PMID 26973504 DOI: 10.3389/Fncom.2016.00017 |
0.574 |
|
2016 |
Antonietti A, Casellato C, Garrido JA, Luque NR, Naveros F, Ros E, DAngelo E, Pedrocchi A. Spiking Neural Network With Distributed Plasticity Reproduces Cerebellar Learning in Eye Blink Conditioning Paradigms. Ieee Transactions On Bio-Medical Engineering. 63: 210-9. PMID 26441441 DOI: 10.1109/Tbme.2015.2485301 |
0.738 |
|
2016 |
Richter C, Jentzsch S, Hostettler R, Garrido JA, Ros E, Knoll A, Rohrbein F, Van Der Smagt P, Conradt J. Musculoskeletal robots: Scalability in neural control Ieee Robotics and Automation Magazine. DOI: 10.1109/Mra.2016.2535081 |
0.374 |
|
2015 |
D'Angelo E, Mapelli L, Casellato C, Garrido JA, Luque N, Monaco J, Prestori F, Pedrocchi A, Ros E. Distributed Circuit Plasticity: New Clues for the Cerebellar Mechanisms of Learning. Cerebellum (London, England). PMID 26304953 DOI: 10.1007/S12311-015-0711-7 |
0.773 |
|
2015 |
Mapelli L, Pagani M, Garrido JA, D'Angelo E. Integrated plasticity at inhibitory and excitatory synapses in the cerebellar circuit. Frontiers in Cellular Neuroscience. 9: 169. PMID 25999817 DOI: 10.3389/Fncel.2015.00169 |
0.737 |
|
2015 |
Casellato C, Antonietti A, Garrido JA, Ferrigno G, D'Angelo E, Pedrocchi A. Distributed cerebellar plasticity implements generalized multiple-scale memory components in real-robot sensorimotor tasks. Frontiers in Computational Neuroscience. 9: 24. PMID 25762922 DOI: 10.3389/Fncom.2015.00024 |
0.764 |
|
2015 |
Naveros F, Luque NR, Garrido JA, Carrillo RR, Anguita M, Ros E. 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. 26: 1567-74. PMID 25167556 DOI: 10.1109/Tnnls.2014.2345844 |
0.392 |
|
2015 |
Antonietti A, Casellato C, Garrido JA, D'Angelo E, Pedrocchi A. Spiking cerebellar model with multiple plasticity sites reproduces eye blinking classical conditioning International Ieee/Embs Conference On Neural Engineering, Ner. 2015: 296-299. DOI: 10.1109/NER.2015.7146618 |
0.704 |
|
2014 |
Casellato C, Antonietti A, Garrido JA, Carrillo RR, Luque NR, Ros E, Pedrocchi A, D'Angelo E. Adaptive robotic control driven by a versatile spiking cerebellar network. Plos One. 9: e112265. PMID 25390365 DOI: 10.1371/Journal.Pone.0112265 |
0.768 |
|
2014 |
Luque NR, Garrido JA, Carrillo RR, D'Angelo E, Ros E. 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. 8: 97. PMID 25177290 DOI: 10.3389/Fncom.2014.00097 |
0.609 |
|
2014 |
Luque NR, Carrillo RR, Naveros F, Garrido JA, Sáez-Lara MJ. Integrated neural and robotic simulations. Simulation of cerebellar neurobiological substrate for an object-oriented dynamic model abstraction process Robotics and Autonomous Systems. 62: 1702-1716. DOI: 10.1016/J.Robot.2014.08.002 |
0.391 |
|
2014 |
Casellato C, Antonietti A, Garrido JA, Pedrocchi A, D'Angelo E. Distributed cerebellar plasticity implements multiple-scale memory components of vestibulo-ocular reflex in real-robots Proceedings of the Ieee Ras and Embs International Conference On Biomedical Robotics and Biomechatronics. 813-818. |
0.713 |
|
2013 |
D'Angelo E, Solinas S, Garrido J, Casellato C, Pedrocchi A, Mapelli J, Gandolfi D, Prestori F. Realistic modeling of neurons and networks: towards brain simulation. Functional Neurology. 28: 153-66. PMID 24139652 DOI: 10.11138/Fneur/2013.28.3.153 |
0.721 |
|
2013 |
Garrido JA, Luque NR, D'Angelo E, Ros E. Distributed cerebellar plasticity implements adaptable gain control in a manipulation task: a closed-loop robotic simulation. Frontiers in Neural Circuits. 7: 159. PMID 24130518 DOI: 10.3389/Fncir.2013.00159 |
0.609 |
|
2013 |
Bologna LL, Pinoteau J, Passot JB, Garrido JA, Vogel J, Vidal ER, Arleo A. A closed-loop neurobotic system for fine touch sensing. Journal of Neural Engineering. 10: 046019. PMID 23883543 DOI: 10.1088/1741-2560/10/4/046019 |
0.747 |
|
2013 |
Garrido JA, Ros E, D'Angelo E. Spike timing regulation on the millisecond scale by distributed synaptic plasticity at the cerebellum input stage: a simulation study. Frontiers in Computational Neuroscience. 7: 64. PMID 23720626 DOI: 10.3389/Fncom.2013.00064 |
0.554 |
|
2013 |
Tolu S, Vanegas M, Garrido JA, Luque NR, Ros E. Adaptive and predictive control of a simulated robot arm. International Journal of Neural Systems. 23: 1350010. PMID 23627657 DOI: 10.1142/S012906571350010X |
0.406 |
|
2013 |
Garrido JA, Ros E, D'Angelo E. Distributed synaptic plasticity controls spike-timing: predictions from a cerebellar computational model Bmc Neuroscience. 14. DOI: 10.1186/1471-2202-14-S1-P81 |
0.56 |
|
2013 |
Luque NR, Garrido JA, Carrillo RR, Ros E. Connection control implications in a distributed plasticity cerebellar model Bmc Neuroscience. 14. DOI: 10.1186/1471-2202-14-S1-P329 |
0.414 |
|
2013 |
Naveros F, Luque NR, Garrido JA, Carrillo RR, Ros E. CPU-GPU hybrid platform for efficient spiking neural-network simulation Bmc Neuroscience. 14. DOI: 10.1186/1471-2202-14-S1-P328 |
0.417 |
|
2013 |
Casellato C, Garrido JA, Franchin C, Ferrigno G, D'Angelo E, Pedrocchi A. Brain-inspired sensorimotor robotic platform learning in cerebellum-driven movement tasks through a cerebellar realistic model Ijcci 2013 - Proceedings of the 5th International Joint Conference On Computational Intelligence. 568-573. |
0.503 |
|
2012 |
Tolu S, Vanegas M, Luque NR, Garrido JA, Ros E. Bio-inspired adaptive feedback error learning architecture for motor control. Biological Cybernetics. 106: 507-22. PMID 22907270 DOI: 10.1007/S00422-012-0515-5 |
0.371 |
|
2012 |
Luque NR, Garrido JA, Ralli J, Laredo JJ, Ros E. From sensors to spikes: evolving receptive fields to enhance sensorimotor information in a robot-arm. International Journal of Neural Systems. 22: 1250013. PMID 22830963 DOI: 10.1142/S012906571250013X |
0.387 |
|
2012 |
Casellato C, Pedrocchi A, Garrido JA, Luque NR, Ferrigno G, D'Angelo E, Ros E. An integrated motor control loop of a human-like robotic arm: Feedforward, feedback and cerebellum-based learning Proceedings of the Ieee Ras and Embs International Conference On Biomedical Robotics and Biomechatronics. 562-567. DOI: 10.1109/BioRob.2012.6290791 |
0.474 |
|
2011 |
Luque NR, Garrido JA, Carrillo RR, Tolu S, Ros E. Adaptive cerebellar spiking model embedded in the control loop: context switching and robustness against noise. International Journal of Neural Systems. 21: 385-401. PMID 21956931 DOI: 10.1142/S0129065711002900 |
0.418 |
|
2011 |
Luque NR, Garrido JA, Carrillo RR, Coenen OJ, Ros E. Cerebellar input configuration toward object model abstraction in manipulation tasks. Ieee Transactions On Neural Networks / a Publication of the Ieee Neural Networks Council. 22: 1321-8. PMID 21708499 DOI: 10.1109/Tnn.2011.2156809 |
0.364 |
|
2011 |
Luque NR, Garrido JA, Carrillo RR, Coenen OJ, Ros E. Cerebellarlike corrective model inference engine for manipulation tasks. Ieee Transactions On Systems, Man, and Cybernetics. Part B, Cybernetics : a Publication of the Ieee Systems, Man, and Cybernetics Society. 41: 1299-312. PMID 21536535 DOI: 10.1109/TSMCB.2011.2138693 |
0.328 |
|
2010 |
D'Angelo E, Solinas S, Ros E, Garrido J, Jörntell H, Van Der Smagt P. Complex dynamics in the granual layer of the cerebellum: Large-scale computational reconstructions 4th International Conference On Cognitive Systems, Cogsys 2010. |
0.7 |
|
2009 |
D'Angelo E, Koekkoek SK, Lombardo P, Solinas S, Ros E, Garrido J, Schonewille M, De Zeeuw CI. Timing in the cerebellum: oscillations and resonance in the granular layer. Neuroscience. 162: 805-15. PMID 19409229 DOI: 10.1016/J.Neuroscience.2009.01.048 |
0.756 |
|
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