STD-dependent and independent encoding of Input irregularity as spike rate (Luthman et al. 2011)

"... We use a conductance-based model of a CN neuron to study the effect of the regularity of Purkinje cell spiking on CN neuron activity. We find that increasing the irregularity of Purkinje cell activity accelerates the CN neuron spike rate and that the mechanism of this recoding of input irregularity as output spike rate depends on the number of Purkinje cells converging onto a CN neuron. ..."

Model Type: Neuron or other electrically excitable cell

Cell Type(s): Cerebellum deep nucleus neuron

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

Model Concept(s): Temporal Pattern Generation; Short-term Synaptic Plasticity

Simulation Environment: NEURON

Implementer(s): Luthman, Johannes [jwluthman at gmail.com]

References:

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]