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Plasticity in the Granular Layer Enhances Motor Learning in a Computational Model of the Cerebellum.

, , , and . ICANN (1), volume 9886 of Lecture Notes in Computer Science, page 272-279. Springer, (2016)

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A Digital Neuromorphic Implementation of Cerebellar Associative Learning., , and . Living Machines, volume 7375 of Lecture Notes in Computer Science, page 13-25. Springer, (2012)Plasticity in the Granular Layer Enhances Motor Learning in a Computational Model of the Cerebellum., , , and . ICANN (1), volume 9886 of Lecture Notes in Computer Science, page 272-279. Springer, (2016)The Role of a Cerebellum-Driven Perceptual Prediction within a Robotic Postural Task., , , and . SAB, volume 8575 of Lecture Notes in Computer Science, page 76-87. Springer, (2014)Is Consciousness a Control Process?, , , , and . CCIA, volume 288 of Frontiers in Artificial Intelligence and Applications, page 233-238. IOS Press, (2016)Optimization of the Anticipatory Reflexes of a Computational Model of the Cerebellum., , and . Living Machines, volume 8608 of Lecture Notes in Computer Science, page 11-22. Springer, (2014)The Morphospace of Consciousness., , , , and . CoRR, (2017)Learning of Motor Sequences Based on a Computational Model of the Cerebellum., , , and . Living Machines, volume 8064 of Lecture Notes in Computer Science, page 356-358. Springer, (2013)Consciousness as an Evolutionary Game-Theoretic Strategy., , , and . Living Machines, volume 10384 of Lecture Notes in Computer Science, page 509-514. Springer, (2017)Acquisition of Synergistic Motor Responses through Cerebellar Learning in a Robotic Postural Task., , , and . Living Machines, volume 8608 of Lecture Notes in Computer Science, page 202-212. Springer, (2014)Nucleo-olivary inhibition balances the interaction between the reactive and adaptive layers in motor control., and . Neural Networks, (2013)