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• Memory savings through unified pre- and postsynaptic STDP (Costa et al 2015) [Model]

Gallimore AR, Kim T, Tanaka-Yamamoto K, De Schutter E. (2018). Switching On Depression and Potentiation in the Cerebellum. Cell reports. 22 [PubMed]

• Model of cerebellar parallel fiber-Purkinje cell LTD and LTP (Gallimore et al 2018) [Model]

Krasne FB, Fanselow MS, Zelikowsky M. (2011). Design of a neurally plausible model of fear learning. Frontiers in behavioral neuroscience. 5 [PubMed]

• FRAT: An amygdala-centered model of fear conditioning (Krasne et al. 2011) [Model]

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]

Steuber V et al. (2007). Cerebellar LTD and pattern recognition by Purkinje cells. Neuron. 54 [PubMed]

• Cerebellar purkinje cell (De Schutter and Bower 1994) [Model]

Wetmore DZ, Mukamel EA, Schnitzer MJ. (2008). Lock-and-key mechanisms of cerebellar memory recall based on rebound currents. Journal of neurophysiology. 100 [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, Nagao S, Lennon W, Tanaka S. (2015). Modeling memory consolidation during posttraining periods in cerebellovestibular learning. Proceedings of the National Academy of Sciences of the United States of America. 112 [PubMed]

• Cerebellar memory consolidation model (Yamazaki et al. 2015) [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]