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Yamazaki T, Tanaka S (2007) The cerebellum as a liquid state machine. Neural Netw 20:290-7 [PubMed]

References and models cited by this paper

References and models that cite this paper

Garrido JA, Luque NR, D'Angelo E, Ros E (2013) Distributed cerebellar plasticity implements adaptable gain control in a manipulation task: a closed-loop robotic simulation Front. Neural Circuits 7:159:1-20 [Journal] [PubMed]
   Distributed cerebellar plasticity implements adaptable gain control (Garrido et al., 2013) [Model]
Garrido JA, Ros E, D'Angelo E (2013) Spike timing regulation on the millisecond scale by distributed synaptic plasticity at the cerebellum input stage: a simulation study. Front Comput Neurosci 7:64 [Journal] [PubMed]
   Distributed synaptic plasticity and spike timing (Garrido et al. 2013) [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]
Luque NR, Naveros F, Carrillo RR, Ros E, Arleo A (2019) Spike burst-pause dynamics of Purkinje cells regulate sensorimotor adaptation. PLoS Comput Biol 15:e1006298 [Journal] [PubMed]
   Spike burst-pause dynamics of Purkinje cells regulate sensorimotor adaptation (Luque et al 2019) [Model]
Rössert C, Dean P, Porrill J (2015) At the Edge of Chaos: How Cerebellar Granular Layer Network Dynamics Can Provide the Basis for Temporal Filters. PLoS Comput Biol 11:e1004515 [Journal] [PubMed]
   Basis for temporal filters in the cerebellar granular layer (Roessert et al. 2015) [Model]
Wilson CJ, Beverlin B, Netoff T (2011) Chaotic desynchronization as the therapeutic mechanism of deep brain stimulation. Front Syst Neurosci 5:50 [Journal] [PubMed]
Yamazaki T, Tanaka S (2009) Robust Reservoir Generation by Correlation-Based Learning Advances in Artificial Neural Systems 2009:1-7 [Journal]
   Robust Reservoir Generation by Correlation-Based Learning (Yamazaki & Tanaka 2008) [Model]
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