Context sequence theory: a common explanation for multiple types of learning
Neurons and Cognition
2022-08-10 v1 Artificial Intelligence
Machine Learning
Abstract
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.
Keywords
Cite
@article{arxiv.2208.04707,
title = {Context sequence theory: a common explanation for multiple types of learning},
author = {Yu Mingcan and Wang Junying},
journal= {arXiv preprint arXiv:2208.04707},
year = {2022}
}