Fong Chun Yuen, Law Wai Him Crystal, Uka Takanori, Koike Shinsuke
Center for Evolutionary Cognitive Sciences, Graduate School of Art and Sciences, The University of Tokyo, Meguro-ku, Japan.
Department of Integrative Physiology, Graduate School of Medicine, University of Yamanashi, Chuo, Yamanashi, Japan.
Front Psychiatry. 2020 Sep 10;11:557932. doi: 10.3389/fpsyt.2020.557932. eCollection 2020.
Traditional neuroscience sees sensory perception as a simple feedforward process. This view is challenged by the predictive coding model in recent years due to the robust evidence researchers had found on how our prediction could influence perception. In the first half of this article, we reviewed the concept of predictive brain and some empirical evidence of sensory prediction in visual and auditory processing. The predictive function along the auditory pathway was mainly studied by mismatch negativity (MMN)-a brain response to an unexpected disruption of regularity. We summarized a range of MMN paradigms and discussed how they could contribute to the theoretical development of the predictive coding neural network by the mechanism of adaptation and deviance detection. Such methodological and conceptual evolution sharpen MMN as a tool to better understand the structural and functional brain abnormality for neuropsychiatric disorder such as schizophrenia.
传统神经科学将感官知觉视为一个简单的前馈过程。近年来,由于研究人员发现了关于我们的预测如何影响感知的有力证据,这一观点受到了预测编码模型的挑战。在本文的前半部分,我们回顾了预测大脑的概念以及视觉和听觉处理中感官预测的一些实证证据。沿着听觉通路的预测功能主要通过失配负波(MMN)来研究——一种对规律性意外中断的大脑反应。我们总结了一系列MMN范式,并讨论了它们如何通过适应和偏差检测机制促进预测编码神经网络的理论发展。这种方法和概念的演变使MMN成为一种更好地理解精神分裂症等神经精神疾病大脑结构和功能异常的工具。