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arXiv · 2303.10780

A Comprehensive Review of Spiking Neural Networks: Interpretation, Optimization, Efficiency, and Best Practices

Kai Malcolm·Josue Casco-Rodriguez
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Abstract

Biological neural networks continue to inspire breakthroughs in neural network performance. And yet, one key area of neural computation that has been under-appreciated and under-investigated is biologically plausible, energy-efficient spiking neural networks, whose potential is especially attractive for low-power, mobile, or otherwise hardware-constrained settings. We present a literature review of recent developments in the interpretation, optimization, efficiency, and accuracy of spiking neural networks. Key contributions include identification, discussion, and comparison of cutting-edge methods in spiking neural network optimization, energy-efficiency, and evaluation, starting from first principles so as to be accessible to new practitioners.

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Kai Malcolm, Josue Casco-Rodriguez. 2023-03-19. A Comprehensive Review of Spiking Neural Networks: Interpretation, Optimization, Efficiency, and Best Practices. https://arxiv.org/abs/2303.10780

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