This repository contains code and data for the paper
Noori et al. (PNAS 2020) Activity-dependent myelination: a glial mechanism of oscillatory self-organization in large-scale networks
The myelin plasticity model consists of a set of stochastic differential equations. This system describing oscillatory neural activity and synchronization behaviour as a function of myelin-related plasticity changes that evolve on the time scale of hours to tens of hours.
The model is implemented in C++. Figure visualizations are done in Python.
The code and data contain, well, code and data.
code/
data/
connectivity/
sim_results
Connectivity data (connectivity weights, tract lengths) used by the model are in the connectivity folder. Code for simulations and plotting is in the code folder. Additionally, the code folder includes python and bash scripts for compiling the C++ code to executable binaries, and submitting as a series of batch job to a compute grid.
The figures notebook loads in the simulation results in the sim_results folder and produces plots shown in the figures of the paper.