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.
翻译:最近,由于人造智能的快速发展(在模式识别、机器人和生物信息学方面获得了广泛成功),神经科学也正在取得巨大进步。 一种具有生物可解释性的突起神经网络正在逐渐得到广泛的关注,而这种神经网络也被视为通向一般人工智能的方向之一。 本审查报告介绍了以下各节、突起神经的生物学背景和理论基础、不同的神经模型、神经电路的连通性、主流神经网络学习机制和网络结构等。 本审查报告希望吸引不同的研究人员,推动大脑激发的智能和人工智能的发展。