Fast convergence of cerebellar learning (Luque et al. 2015)


Luque NR, Garrido JA, Carrillo RR, D'Angelo E, Ros E. (2014). 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 [PubMed]

See more from authors: Luque NR · Garrido JA · Carrillo RR · D'Angelo E · Ros E

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References and models that cite this paper

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. International journal of neural systems. 28 [PubMed]

Luque NR, Naveros F, Carrillo RR, Ros E, Arleo A. (2019). Spike burst-pause dynamics of Purkinje cells regulate sensorimotor adaptation. PLoS computational biology. 15 [PubMed]

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