From Artificial Neural Networks to Spiking Neural Networks: A Comprehensive Review

Artificial neural networks (ANNs) have demonstrated encouraging results in many applications, but when
compared to biological neural networks (BNNs), they still fall short in many aspects Spiking neural networks
(SNNs) bridge the gap between ANNs and BNNs by leveraging biologically realistic neurons. Spiking neural
networks are of great interest in machine learning because they can achieve high-performance computing with low
power consumption. This article provides a comparative analysis of ANN and SNN.