An Introductory Review of Spiking Neural Network and Artificial Neural Network: From Biological Intelligence to Artificial Intelligence
April 09, 2022 ยท Declared Dead ยท ๐ Artificial Intelligence Trends
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Authors
Shengjie Zheng, Lang Qian, Pingsheng Li, Chenggang He, Xiaoqin Qin, Xiaojian Li
arXiv ID
2204.07519
Category
cs.NE: Neural & Evolutionary
Cross-listed
cs.AI
Citations
10
Venue
Artificial Intelligence Trends
Last Checked
4 months ago
Abstract
Recently, stemming from the rapid development of artificial intelligence, which has gained expansive success in pattern recognition, robotics, and bioinformatics, neuroscience is also gaining tremendous progress. A kind of spiking neural network with biological interpretability is gradually receiving wide attention, and this kind of neural network is also regarded as one of the directions toward general artificial intelligence. This review introduces the following sections, the biological background of spiking neurons and the theoretical basis, different neuronal models, the connectivity of neural circuits, the mainstream neural network learning mechanisms and network architectures, etc. This review hopes to attract different researchers and advance the development of brain-inspired intelligence and artificial intelligence.
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