Ito M. (1989). Long-term depression. Annual review of neuroscience. 12 [PubMed]

See more from authors: Ito M

References and models cited by this paper
References and models that cite this paper

Bogacz R, Brown MW, Giraud-Carrier C. (2001). Model of familiarity discrimination in the perirhinal cortex. Journal of computational neuroscience. 10 [PubMed]

Clopath C, Badura A, De Zeeuw CI, Brunel N. (2014). A cerebellar learning model of vestibulo-ocular reflex adaptation in wild-type and mutant mice. The Journal of neuroscience : the official journal of the Society for Neuroscience. 34 [PubMed]

De Schutter E. (1997). A new functional role for cerebellar long-term depression. Progress in brain research. 114 [PubMed]

Dragly SA et al. (2017). Neuronify: An Educational Simulator for Neural Circuits. eNeuro. 4 [PubMed]

Manninen T, Hituri K, Kotaleski JH, Blackwell KT, Linne ML. (2010). Postsynaptic signal transduction models for long-term potentiation and depression. Frontiers in computational neuroscience. 4 [PubMed]

Migliore M, De Simone G, Migliore R. (2015). Effect of the initial synaptic state on the probability to induce long-term potentiation and depression. Biophysical journal. 108 [PubMed]

Roberts PD. (2007). Stability of complex spike timing-dependent plasticity in cerebellar learning. Journal of computational neuroscience. 22 [PubMed]

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

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]

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]

Yamazaki T, Tanaka S. (2005). Neural modeling of an internal clock. Neural computation. 17 [PubMed]

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

This website requires cookies and limited processing of your personal data in order to function. By continuing to browse or otherwise use this site, you are agreeing to this use. See our Privacy policy and how to cite and terms of use.