论文标题
尖峰神经网络和人工神经网络的介绍性评论：从生物智能到人工智能
An Introductory Review of Spiking Neural Network and Artificial Neural Network: From Biological Intelligence to Artificial Intelligence
论文作者
论文摘要
最近，由于人工智能的快速发展，神经科学在模式识别，机器人技术和生物信息学方面取得了巨大的成功，神经科学也正在取得巨大的进步。一种具有生物解释性的尖峰神经网络正在逐渐受到关注，这种神经网络也被视为通用人工智能的方向之一。这篇综述介绍了以下各节，尖峰神经元的生物学背景以及理论基础，不同的神经元模型，神经回路的连通性，主流神经网络学习机制和网络体系结构等。这一综述希望吸引不同的研究人员并推动大脑精神上的知识和艺术人工情报的发展。
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.
