Repetition suppression and its contextual determinants in predictive coding

作     者：Auksztulewicz, Ryszard Friston, Karl 

作者机构：UCL Inst Neurol Wellcome Trust Ctr Neuroimaging 12 Queen Sq London WC1N 3BG England 

出 版 物：《CORTEX》 (皮质)

年 卷 期：2016年第80卷

页      面：125-140页

核心收录：

学科分类：0402[教育学-心理学(可授教育学、理学学位）] 1002[医学-临床医学] 1001[医学-基础医学(可授医学、理学学位)] 10[医学] 

基　　金：German Science Foundation [AU 423/1-1] Wellcome Trust, United Kingdom [088130/Z/09/Z] Wellcome Trust [088130/Z/09/Z] Funding Source: Wellcome Trust 

主　　题：Repetition suppression Predictive coding Mismatch negativity Perceptual inference Perceptual learning 

摘      要：This paper presents a review of theoretical and empirical work on repetition suppression in the context of predictive coding. Predictive coding is a neurobiologically plausible scheme explaining how biological systems might perform perceptual inference and learning. From this perspective, repetition suppression is a manifestation of minimising prediction error through adaptive changes in predictions about the content and precision of sensory inputs. Simulations of artificial neural hierarchies provide a principled way of understanding how repetition suppression at different time scales can be explained in terms of inference and learning implemented under predictive coding. This formulation of repetition suppression is supported by results of numerous empirical studies of repetition suppression and its contextual determinants. (C) 2016 The Authors. Published by Elsevier Ltd.