BindsNET: A Machine Learning-Oriented Spiking Neural Networks Library in Python
@article{Hazan2018BindsNETAM, title={BindsNET: A Machine Learning-Oriented Spiking Neural Networks Library in Python}, author={Hananel Hazan and Daniel J. Saunders and Hassaan Khan and Devdhar Patel and Darpan T. Sanghavi and Hava T. Siegelmann and Robert Thijs Kozma}, journal={Frontiers in Neuroinformatics}, year={2018}, volume={12} }
The development of spiking neural network simulation software is a critical component enabling the modeling of neural systems and the development of biologically inspired algorithms. [] Key Method BindsNET is built on the PyTorch deep neural networks library, facilitating the implementation of spiking neural networks on fast CPU and GPU computational platforms. Moreover, the BindsNET framework can be adjusted to utilize other existing computing and hardware backends; e.g., TensorFlow and SpiNNaker.
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