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About

This repository provides source code and data used in a paper: Evolution of metamemory based on self-reference to own memory in artificial neural network with neuromodulation.

This repository is released under the MIT License, see LICENSE.

Getting Started

You can compiles this sorce code by executing a python program as follows:

$ python build.py

Also, you can get a result of this experiment by executing a python program as follows:

$ python run.py [save_path] [number_of_trials]

Moreover, you can get behaviors of a network for each task target (default delay num is 10) by executing a python program as follows:

$ python run.py -ia [analyzed_data_path] [number_of_target_network]

If you want to analyze your experiment data, please use analysis.ipynb. When you analyze your experiment's result, you should make an appropriate change to the target path in the notebook file.

About

A Repository for a paper: ``Evolution of metamemory based on self-reference to own memory in artificial neural network with neuromodulation''

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