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Biological neural networks continue to inspire breakthroughs in neuralnetwork performance. And yet, one key area of neural computation that has beenunder-appreciated and under-investigated is biologically plausible,energy-efficient spiking neural networks, whose potential is especiallyattractive 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. Keycontributions include identification, discussion, and comparison ofcutting-edge methods in spiking neural network optimization, energy-efficiency,and evaluation, starting from first principles so as to be accessible to newpractitioners.

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