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neural network infrastructure

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Norse: A library for gradient-based learning in Spiking Neural Networks

Catherine Schuman
Oak Ridge National Laboratory
Nov 2, 2021

Norse aims to exploit the advantages of bio-inspired neural components, which are sparse and event-driven - a fundamental difference from artificial neural networks. Norse expands PyTorch with primitives for bio-inspired neural components, bringing you two advantages: a modern and proven infrastructure based on PyTorch and deep learning-compatible spiking neural network components.