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BrainCog: A spiking neural network based, braininspired cognitive intelligence engine for braininspired AI and brain simulation
Zeng, Yi1,2,3,4,5; Zhao, Dongcheng1; Zhao, Feifei1; Shen, Guobin1,5; Dong, Yiting1,5; Lu, Enmeng1; Zhang, Qian1,4; Sun, Yinqian1,5; Liang, Qian1; Zhao, Yuxuan1; Zhao, Zhuoya1,5; Fang, Hongjian1,5; Wang, Yuwei1; Li, Yang1; Liu, Xin1; Du, Chengcheng1,5; Kong, Qingqun1,5; Zizhe, Ruan1; Weida Bi1
Source PublicationPatterns
2023
Pages100789
Abstract

Spiking neural networks (SNNs) serve as a promising computational framework for integrating insights from the brain into artificial intelligence (AI). Existing software infrastructures based on SNNs exclusively support brain simulation or brain-inspired AI, but not both simultaneously. To decode the nature of biological intelligence and create AI, we present the brain-inspired cognitive intelligence engine (BrainCog). This SNN-based platform provides essential infrastructure support for developing brain-inspired AI and brain simulation. BrainCog integrates different biological neurons, encoding strategies, learning rules, brain areas, and hardware-software co-design as essential components. Leveraging these user-friendly components, BrainCog incorporates various cognitive functions, including perception and learning, decision-making, knowledge representation and reasoning, motor control, social cognition, and brain structure and function simulations across multiple scales. BORN is an AI engine developed by BrainCog, showcasing seamless integration of BrainCog’s components and cognitive functions to build advanced AI models and applications.

MOST Discipline Catalogue工学::控制科学与工程
DOIhttps://doi.org/10.1016/j.patter.2023.100789
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Indexed ByESCI
Sub direction classification类脑模型与计算
planning direction of the national heavy laboratory认知机理与类脑学习
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Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/57256
Collection脑图谱与类脑智能实验室_类脑认知计算
Affiliation1.Brain-inspired Cognitive Intelligence Lab, Institute of Automation, Chinese Academy of Sciences
2.State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences,
3.Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences
4.School of Artificial Intelligence, University of Chinese Academy of Sciences
5.School of Future Technology, University of Chinese Academy of Sciences
First Author AffilicationInstitute of Automation, Chinese Academy of Sciences
Recommended Citation
GB/T 7714
Zeng, Yi,Zhao, Dongcheng,Zhao, Feifei,et al. BrainCog: A spiking neural network based, braininspired cognitive intelligence engine for braininspired AI and brain simulation[J]. Patterns,2023:100789.
APA Zeng, Yi.,Zhao, Dongcheng.,Zhao, Feifei.,Shen, Guobin.,Dong, Yiting.,...&Weida Bi.(2023).BrainCog: A spiking neural network based, braininspired cognitive intelligence engine for braininspired AI and brain simulation.Patterns,100789.
MLA Zeng, Yi,et al."BrainCog: A spiking neural network based, braininspired cognitive intelligence engine for braininspired AI and brain simulation".Patterns (2023):100789.
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