论文标题
上下文序列理论：多种类型的学习的常见解释
Context sequence theory: a common explanation for multiple types of learning
论文作者
论文摘要
尽管在机器学习模型中应用了神经科学的原则，例如增强学习，视觉感知和注意力，但机器学习和哺乳动物学习之间存在巨大差距。根据神经科学的进步，我们建议上下文序列理论为哺乳动物中多种学习的共同解释，并希望可以为机器学习模型的结构提供新的见解。
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.
