Sequence Production SNN
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This repository contains code from our paper [Brain Inspired Sequences Production by Spiking Neural Networks With Reward-Modulated STDP] published in Frontiers in Computational Neuroscience. https://www.frontiersin.org/articles/10.3389/fncom.2021.612041/full. If you use our code or refer to this project, please cite this paper.
Requirments
numpy
scipy
pytorch >= 1.7.0
torchvision
Run
python main.py file
This module builds a sequence Production spiking neural network model, realizing the memory and reconstruction functions for arbitrary symbol sequences. The input causal graph is shown in figure causal_graph.png. The input current, spike trains during the learning process and the network weight distribution after the learning are shown in the Results folder.