title: Sequential Pattern Formation in the Cerebellar Granular Layer.
abstract: Here, we introduce a novel mechanism for temporal recoding by the cerebellar granular layer based on three key properties: the granule cell-Golgi cell inhibitory feedback loop, bursting behaviour of granule cells and the large ratio of granule cells to Golgi cells. We propose that mutual inhibition of granule cells, mediated by Golgi cell feedback inhibition, prevents simultaneous activation. Granule cells are differentiated by firing threshold, resulting in sequential bursts of spikes. We demonstrate the plausibility of the mechanism through a computational simulation of a firing rate model, and further examine its robustness by developing a spiking model incorporating realistic postsynaptic potentials.
authors.affiliation: Department of Mathematics, University of Auckland, Auckland, New Zealand. p.bratby@auckland.ac.nz.
authors.forename: Peter
authors.initials: P
authors.lastname: Bratby
authors.affiliation: Department of Mathematics, University of Auckland, Auckland, New Zealand.
authors.forename: James
authors.initials: J
authors.lastname: Sneyd
authors.affiliation: School of Biological Sciences, University of Auckland, Auckland, New Zealand.
authors.forename: John
authors.initials: J
authors.lastname: Montgomery
mesh_terms: D000818:Animals; D002531:Cerebellum / Q000502:physiology*; D003198:Computer Simulation; D025461:Feedback, Physiological / Q000502:physiology; D008564:Membrane Potentials / Q000502:physiology; D008959:Models, Neurological; D009433:Neural Inhibition / Q000502:physiology; D009434:Neural Pathways / Q000502:physiology; D009474:Neurons / Q000502:physiology*; D010507:Periodicity
keywords: Adaptive filter; Cerebellum; Computational simulation; Granular layer; Neural network; Sequential winner-take-all