Title :
A functional model of the olivocerebellar system that produces rhythmic activity at gamma frequency
Author_Institution :
Dept. of Electr. & Electron. Eng., Dokuz Eylul Univ., Izmir, Turkey
Abstract :
This article presents a simplistic but biologically plausible functional model of the olivocerebellar neural circuitry to investigate its capability to generate rhythmic activity at gamma frequency (40 Hz). The design of the model has a general organization corresponding to that hypothesized by neurobiologists. The cerebellar circuitry is modeled as a dynamical system using cell prototypes similar to the ones used in artificial neural networks, whereas the olivary cells were represented with simple ´on/off´ units. The model works as a unit that converts the irregular and low frequency spikes originating from the olivary cells into regular spikes at 40 Hz at the level of the dentate cells. The success of the model indicates that the olivocerebellar circuitry has the physiological properties to be able to generate such rhythmic activity.
Keywords :
biomembrane transport; brain models; electroencephalography; nonlinear dynamical systems; synchronisation; EEG signal; cell prototypes; climbing fibers; dentate cells; dynamical system; functional model; gamma frequency; gap junctions; irregular spikes; lateral cerebellum; low frequency spikes; membrane potentials; model design; olivocerebellar neural circuitry; on/off units; parvocellular red nucleus; principal olive; rhythmic activity; subthreshold sinusoidal oscillations; Artificial neural networks; Biological system modeling; Biomembranes; Brain modeling; Circuits; Electroencephalography; Fires; Frequency conversion; Prototypes; Tires;
Conference_Titel :
Engineering in Medicine and Biology Society, 2001. Proceedings of the 23rd Annual International Conference of the IEEE
Print_ISBN :
0-7803-7211-5
DOI :
10.1109/IEMBS.2001.1019062