Jaeger D et al. (2017). Robust Transmission of Rate Coding in the Inhibitory Purkinje Cell to Cerebellar Nuclei Pathway in Awake Mice PLOS Computational Biology.

• Robust transmission in the inhibitory Purkinje Cell to Cerebellar Nuclei pathway (Abbasi et al 2017) [Model]

Jaffe DB, Brenner R. (2018). A computational model for how the fast afterhyperpolarization paradoxically increases gain in regularly firing neurons. Journal of neurophysiology. 119 [PubMed]

• Paradoxical effect of fAHP amplitude on gain in dentate gyrus granule cells (Jaffe & Brenner 2018) [Model]

Luthman J et al. (2011). STD-dependent and independent encoding of input irregularity as spike rate in a computational model of a cerebellar nucleus neuron. Cerebellum (London, England). 10 [PubMed]

• STD-dependent and independent encoding of Input irregularity as spike rate (Luthman et al. 2011) [Model]
• Robust transmission in the inhibitory Purkinje Cell to Cerebellar Nuclei pathway (Abbasi et al 2017) [Model]

Steuber V, Jaeger D. (2013). Modeling the generation of output by the cerebellar nuclei. Neural networks : the official journal of the International Neural Network Society. 47 [PubMed]

• Robust transmission in the inhibitory Purkinje Cell to Cerebellar Nuclei pathway (Abbasi et al 2017) [Model]

Steuber V, Schultheiss NW, Silver RA, De Schutter E, Jaeger D. (2011). Determinants of synaptic integration and heterogeneity in rebound firing explored with data-driven models of deep cerebellar nucleus cells. Journal of computational neuroscience. 30 [PubMed]

• Cerebellar Nucleus Neuron (Steuber, Schultheiss, Silver, De Schutter & Jaeger, 2010) [Model]
• Robust transmission in the inhibitory Purkinje Cell to Cerebellar Nuclei pathway (Abbasi et al 2017) [Model]