Identification of Pattern Completion Neurons in Neuronal Ensembles using Probabilistic Graphical Models
^denotes equal contribution
https://www.jneurosci.org/content/early/2021/08/19/JNEUROSCI.0051-21.2021
This repo contains the code as used in the associated publication.
To see the latest implementation and toolbox, click here
Linux only (Tested on Ubuntu 18.04.5 LTS)
Recompilation of associated thirdparty mex-files requires GCC/G++ version 6.3.X
MATLAB 2019b with symbolic links (More recent versions of MATLAB are usually compatible)
Signal Processing Toolbox
Parallel-Computing Toolbox is not necessary, this demo is a single-process implementation
QPBO 1.32
GLMNet
MexCPP
Open a terminal in the folder "Pattern_Completor_Modeling"
Enter bash UBUNTU_SETUP.sh in the terminal
Enter "1" for "Yes" to install
Open Matlab
Run the Run_Demo script
For ease of demoing, a small model option was included that is 1/10th the size of the network used in the publication.
A figure highlighting the identified pattern completors and their respective coordinates is produced for each detected ensemble.