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Bayesian Ying-Yang Theory, Unified Statistical Learning and A Black-box-type Brain Model

机译:贝叶斯应阳理论,统一统计学习和黑盒型脑模型

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Even it is too far away from a real brain, a learning theory on a black-bix type brain model may still provide useful understanding how a general principle (if exists ) guides brain learning in at least an abstract level. In addition to its role of unifying anumber of existing statistical learning models and theories, the recent developed Bayesian Ying-Yang (BYY) system and theory [30, 19, 20, 21, 8, 9, 11, 9, 11, 13, 17] can be regarded as such a theory for both perception and motorcontrol (i.e., association, reaction, etc) even under a temporal environment with input and output being time series.
机译:即使它离真实的大脑太远,关于黑框类型大脑模型的学习理论仍然可以提供有用的理解,即一般原理(如果存在)如何至少在抽象的水平上指导大脑学习。除了统一许多现有统计学习模型和理论的作用外,最近开发的贝叶斯英杨(BYY)系统和理论[30,19,20,21,8,9,11,9,9,11,13,即使在输入和输出为时间序列的时间环境下,[17]也可以被视为感知和运动控制(即关联,反应等)的理论。

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