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


Model Type: Neuron or other electrically excitable cell

Region(s) or Organism(s): Cerebellum

Cell Type(s): Cerebellum deep nucleus neuron

Currents: I h; I T low threshold; I L high threshold; I Na,p; I Na,t; I K,Ca; I K

Receptors: AMPA; NMDA; GabaA

Transmitters: Gaba; Glutamate

Model Concept(s): Synaptic Integration

Simulation Environment: GENESIS

Implementer(s): Jaeger, Dieter [djaeger at emory.edu]

References:

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.

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]

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]

De Schutter E, Jaeger D, Steuber V. (2004). Passive models of neurons in the deep cerebellar nuclei: the effect of reconstruction errors Neurocomputing. 58-60

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]


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.