Citation Relationships



Carrillo RR, Ros E, Boucheny C, Coenen OJ (2008) A real-time spiking cerebellum model for learning robot control. Biosystems 94:18-27 [PubMed]

References and models cited by this paper

References and models that cite this paper

Casellato C, Antonietti A, Garrido JA, Carrillo RR, Luque NR, Ros E, Pedrocchi A, D'Angelo E (2014) Adaptive robotic control driven by a versatile spiking cerebellar network. PLoS One 9:e112265 [Journal] [PubMed]

   Adaptive robotic control driven by a versatile spiking cerebellar network (Casellato et al. 2014) [Model]

Diwakar S, Medini C, Nair M, Parasuram H, Vijayan A, Nair B (2017) Computational Neuroscience of Timing, Plasticity and Function in Cerebellum Microcircuits (Chapter 12) Computational Neurology and Psychiatry, Springer Series in Bio-/Neuroinformatics, √Črdi P:et al, ed. pp.343 [Journal]

   Modeling single neuron LFPs and extracellular potentials with LFPsim (Parasuram et al. 2016) [Model]

Dura-Bernal S, Zhou X, Neymotin SA, Przekwas A, Francis JT, Lytton WW (2015) Cortical Spiking Network Interfaced with Virtual Musculoskeletal Arm and Robotic Arm. Front Neurorobot 9:13 [Journal] [PubMed]

   Cortical model with reinforcement learning drives realistic virtual arm (Dura-Bernal et al 2015) [Model]

Geminiani A, Casellato C, Antonietti A, D'Angelo E, Pedrocchi A (2018) A Multiple-Plasticity Spiking Neural Network Embedded in a Closed-Loop Control System to Model Cerebellar Pathologies. Int J Neural Syst 28:1750017 [Journal] [PubMed]

(4 refs)