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ChiaEtAl2023NatureCommunications

Emergence of cortical network motifs for short-term memory during learning

Dataset:

Dataset can be downloaded at: DOI

Hardware requirements:

As size of dataset may range from 500 MB - 24 GB, package requires standard computer with enough RAM to support the in-memory operations. Check hardware requirements for MATLAB.

OS requirements:

This package has been tested on the following systems:

  • mac0S: Mojave 10.14.4 Check OS requirements for MATLAB

Software requirements:

This package has been tested and on

  • MATLAB R2017a
  • MATLAB R2018b

Installation guide:

Download and install MATLAB as instructed on the official website. Installation time may vary. Downloading of additional dependencies are not required as they have been embedded in the functions.

Demo:

Open Figure_5.m
Set the path by adding with subfolders.

	parameters.root_folder = uigetdir; % CD to folder where files from Zenodo were downloaded
	cd(parameters.root_folder)

In instances where (long runtime) are indicated, a pre-processed dataset will be available. You can choose to load the pre-processed dataset.

	% Load raw dataset containing raw activity
	load 'retained_eliminated_data_raw.mat' 
	
	% Get reconstructed retained and eliminated activity (long runtime)
	retained_elim_data = get_retained_eliminated_activity(parameters,data); 
	
	% Or load pre-processed dataset
	load 'retained_elim_data.mat'

Once loaded, run the function to analyse and plot

	% Plot average number of retained and lost functional coupling
	[prop_retained,prop_lost] = plot_num_retained_lost_cells(retained_elim_data);

Correspondence

Hiroshi Makino, Lee Kong Chian School of Medicine, Nanyang Technological University Email: hmakino@ntu.edu.sg

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Emergence of cortical network motifs for short-term memory during learning

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