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脉冲神经网络研究现状及展望 - ict.ac.cn

00 0 Vol. 00 No. 0 2020 10 CHINESE JOURNAL OF COMPUTERS Oct. 2020 (No. 61806195), (No. XDBS01070000), (No. Z181100001518006) Supported by the National Natural Science Foundation of China (No. 61806195), the Strategic Priority Research Program of the Chinese Academy of Sciences (No. XDBS01070000) and the Beijing Brain Science Project (No. Z181100001518006). 1988 CCF A2626M , E-mail: 15901091404 , , , , : , , , E-mail: 1), 2) 1),2),3) 1) 100190 2) 100049 3) 200031 Spiking Neural Network, SNN - SNN

(e.g., dopamine-based reward learning, energy-based learning). Hence, it is powerful on spatially-temporal information representation, asynchronous processing of event-based information, and self-organized learning with dynamic topologies. SNN belongs to cross-discipline research areas of brain science and computer science.

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