Abstract

While the anatomy of the cerebellar microcircuit is well-studied, how it implements cerebellar function is not understood. A number of models have been proposed to describe this mechanism but few emphasize the role of the vast network Purkinje cells (PKJs) form with the molecular layer interneurons (MLIs)—the stellate and basket cells. We propose a model of the MLI-PKJ network composed of simple spiking neurons incorporating the major anatomical and physiological features. In computer simulations, the model reproduces the irregular firing patterns observed in PKJs and MLIs in vitro and a shift toward faster, more regular firing patterns when inhibitory synaptic currents are blocked. In the model, the time between PKJ spikes is shown to be proportional to the amount of feedforward inhibition from an MLI on average. The two key elements of the model are: (1) spontaneously active PKJs and MLIs due to an endogenous depolarizing current, and (2) adherence to known anatomical connectivity along a parasagittal strip of cerebellar cortex. We propose this model to extend previous spiking network models of the cerebellum and for further computational investigation into the role of irregular firing and MLIs in cerebellar learning and function.

Highlights

  • The cerebellum is thought to be involved in producing smooth and coordinated movements which are both spatially and temporally precise

  • MODEL Purkinje cells (PKJs) AND molecular layer interneurons (MLIs) IN ISOLATION EXHIBIT REGULAR FIRING First, we examined the spike patterns of isolated MLI and PKJ neuron models with spontaneous depolarizing currents

  • In this study, we demonstrate that a network composed of simple neuron models of MLIs and PKJs is sufficient to reproduce the irregular firing patterns of their biological counterparts as observed in vitro

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Summary

Introduction

The cerebellum is thought to be involved in producing smooth and coordinated movements which are both spatially and temporally precise. Numerous theoretical and computational models have been proposed (Grossberg, 1969; Marr, 1969; Albus, 1971; Fujita, 1982; Medina et al, 2000; Dean et al, 2010; Yamazaki and Nagao, 2012), few of these models emphasize the functional role of the molecular layer interneurons (MLIs) These inhibitory interneurons are described as providing “global inhibition” or “sculpting” the overall response of the Purkinje cells (PKJs); recent experimental evidence questions this hypothesis (Bower, 2010; Jorntell et al, 2010). We seek to understand the role of the MLIs in concert with the PKJs which they form a vast network with by means of computational modeling

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