MAP-SNN

MAP-SNN: Mapping spike activities with multiplicity, adaptability, and plasticity into bio-plausible spiking neural networks [1]

Requirement

• Python 3.6
• Pytorch
• SnnTorch
• SHD dataste [2]
• N-MNIST dataset [3]

Reference

[1] C. Yu, Y. Du, M. Chen, A. Wang, G. Wang, and E. Li, “MAP-SNN: Mapping spike activities with multiplicity, adaptability, and plasticity into bio-plausible spiking neural networks,” Frontiers in Neuroscience, vol. 16, 2022. Available: https://www.frontiersin.org/articles/10.3389/fnins.2022.945037

[2] Spiking Heidelberg Datasets
https://zenkelab.org/resources/spiking-heidelberg-datasets-shd/

[3] Neuromorphic-MNIST (N-MNIST) Dataset
https://www.garrickorchard.com/datasets/n-mnist