The newly published Special Issue on Brain-inspired Machine Learning from Machine Intelligence Research (MIR) serves to call for a better understanding on opportunities and challenges emerged in devising and applying brain-inspired machine learning approaches, as well as the relations between deep and biological neural networks in terms of model structure, information encoding or decoding manner, representation/response property, and so on. Reviews on prior arts and promising future directions in this line of work are also discussed. It solicits manuscripts in the important fields of brain-inspired machine learning that explore the synergy of intelligence computing and neural information processing. In the end, seven papers are accepted to form this special issue. Don't miss it!
Editorial for Special Issue on Brain-inspired Machine Learning
Zhaoxiang Zhang, Bin Luo, Jin Tang, Shan Yu, Amir Hussain
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https://www.mi-research.net/en/article/doi/10.1007/s11633-022-1376-6
https://link.springer.com/article/10.1007/s11633-022-1376-6
Neural Decoding of Visual Information Across Different Neural Recording Modalities and Approaches
Yi-Jun Zhang, Zhao-Fei Yu, Jian. K. Liu, Tie-Jun Huang
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https://link.springer.com/article/10.1007/s11633-022-1335-2
https://www.mi-research.net/en/article/doi/10.1007/s11633-022-1335-2
Efficient Visual Recognition: A Survey on Recent Advances and Brain-inspired Methodologies
Yang Wu, Ding-Heng Wang, Xiao-Tong Lu, Fan Yang, Man Yao, Wei-Sheng Dong, Jian-Bo Shi, Guo-Qi Li
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https://link.springer.com/article/10.1007/s11633-022-1340-5
https://www.mi-research.net/en/article/doi/10.1007/s11633-022-1340-5
Towards a New Paradigm for Brain-inspired Computer Vision
Xiao-Long Zou, Tie-Jun Huang, Si Wu
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https://www.mi-research.net/en/article/doi/10.1007/s11633-022-1370-z
https://link.springer.com/article/10.1007/s11633-022-1370-z
Clause-level Relationship-aware Math Word Problems Solver
Chang-Yang Wu, Xin Lin, Zhen-Ya Huang, Yu Yin, Jia-Yu Liu, Qi Liu, Gang Zhou
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https://www.mi-research.net/en/article/doi/10.1007/s11633-022-1351-2
https://link.springer.com/article/10.1007/s11633-022-1351-2
Exploring the Brain-like Properties of Deep Neural Networks: A Neural Encoding Perspective
Qiongyi Zhou, Changde Du, Huiguang He
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https://www.mi-research.net/en/article/doi/10.1007/s11633-022-1348-x
https://link.springer.com/article/10.1007/s11633-022-1348-x
Denoised Internal Models: A Brain-inspired Autoencoder Against Adversarial Attacks
Kai-Yuan Liu, Xing-Yu Li, Yu-Rui Lai, Hang Su, Jia-Chen Wang, Chun-Xu Guo, Hong Xie, Ji-Song Guan, Yi Zhou
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https://www.mi-research.net/en/article/doi/10.1007/s11633-022-1375-7
https://link.springer.com/article/10.1007/s11633-022-1375-7
EEG-based Emotion Recognition Using Multiple Kernel Learning
Qian Cai, Guo-Chong Cui, Hai-Xian Wang
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https://www.mi-research.net/en/article/doi/10.1007/s11633-022-1352-1
