2022/07/17 by Mingcan Yu, Mingcan, Yu, Junying, Wang
Biochemistry, Genetics and Molecular Biology · Computer Science · #Machine Learning in Bioinformatics #Neural Networks and Applications
paper · pdf · doi:10.48550/arxiv.2208.04707
Although principles of neuroscience like reinforcement learning, visual perception and attention have been applied in machine learning models, there is a huge gap between machine learning and mammalian learning. Based on the advances in neuroscience, we propose the context sequence theory to give a common explanation for multiple types of learning in mammals and hope that can provide a new insight into the construct of machine learning models.