Casellato C et al. (2014). Adaptive robotic control driven by a versatile spiking cerebellar network. PloS one. 9 [PubMed]

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

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 Frontiers in neural circuits. 7 [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. Frontiers in computational neuroscience. 7 [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. 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]

• 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 computational biology. 11 [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. Frontiers in systems neuroscience. 5 [PubMed]

Yamazaki T, Nagao S. (2012). A computational mechanism for unified gain and timing control in the cerebellum. PloS one. 7 [PubMed]

• Cerebellar gain and timing control model (Yamazaki & Tanaka 2007)(Yamazaki & Nagao 2012) [Model]

Yamazaki T, Tanaka S. (2007). A spiking network model for passage-of-time representation in the cerebellum. The European journal of neuroscience. 26 [PubMed]

• Cerebellar gain and timing control model (Yamazaki & Tanaka 2007)(Yamazaki & Nagao 2012) [Model]

Yamazaki T, Tanaka S. (2009). Robust Reservoir Generation by Correlation-Based Learning Advances in Artificial Neural Systems. 2009

• Robust Reservoir Generation by Correlation-Based Learning (Yamazaki & Tanaka 2008) [Model]