delvendahl / GluA4_cerebellum_eLife

Model from Kita et al. eLife 2021

Modeling and simulation files accompanying Kita et al. 2021 eLife 10:e65152

This repository contains the code used in the following publication:
Kita K., Albergaria C., Machado, A., Carey, M, Müller, M, and Delvendahl, I. (2021) GluA4 facilitates cerebellar expansion coding and enables associative memory formation. eLife 10:e65152 (doi:10.7554/eLife.65152)

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GC_iaf_model

This folder contains simulation files to study GC excitability and MF-GC transmission in an integrate-and-fire model. Simulations are implemented in IgorPro software, analysis is run in IgorPro and Python.

MF_GC_network_model

This folder contains simulation files of a feedforward MF-GC network model to study population characteristics and learning speed of a perceptron classification task. Simulations are implemented in Python/NeuroML and run using Python and jLEMS.

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See readme files within folders for details.