A Brain-inspired Memory Transformation based Differentiable Neural Computer for Reasoning-based Question Answering

no code implementations • 7 Jan 2023 • Yao Liang, Hongjian Fang, Yi Zeng, Feifei Zhao

Reasoning and question answering as a basic cognitive function for humans, is nevertheless a great challenge for current artificial intelligence.

Question Answering

BrainCog: A Spiking Neural Network based Brain-inspired Cognitive Intelligence Engine for Brain-inspired AI and Brain Simulation

no code implementations • 18 Jul 2022 • Yi Zeng, Dongcheng Zhao, Feifei Zhao, Guobin Shen, Yiting Dong, Enmeng Lu, Qian Zhang, Yinqian Sun, Qian Liang, Yuxuan Zhao, Zhuoya Zhao, Hongjian Fang, Yuwei Wang, Yang Li, Xin Liu, Chengcheng Du, Qingqun Kong, Zizhe Ruan, Weida Bi

These brain-inspired AI models have been effectively validated on various supervised, unsupervised, and reinforcement learning tasks, and they can be used to enable AI models to be with multiple brain-inspired cognitive functions.

Decision Making

Brain-inspired Graph Spiking Neural Networks for Commonsense Knowledge Representation and Reasoning

no code implementations • 11 Jul 2022 • Hongjian Fang, Yi Zeng, Jianbo Tang, Yuwei Wang, Yao Liang, Xin Liu

For the fields of neuroscience and cognitive science, the work in this paper provided the foundation of computational modeling for further exploration of the way the human brain represents commonsense knowledge.