ERP repetition effects and mismatch negativity generation - A predictive coding perspective
ERP repetition effects and mismatch negativity generation - A predictive coding perspective
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DOI：
10.1027/0269-8803.21.34.204
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发表时间：
2007-01-01
影响因子：
1.3
通讯作者：
Baldeweg, Torsten
中科院分区：
文献类型：
--
作者：
Baldeweg, Torsten
神经元的适应性是大脑皮层普遍存在的特性。本文综述了MMN研究的证据，显示ERP组件具有类似的自适应特性。具体来说，我认为从感知学习和推理的预测编码模型的角度来看，经验证据。在这个框架内，ERP和神经元重复效应（重复抑制）被视为预测误差的减少，这是一个需要突触修饰的过程。重复积极性是人类听觉ERP的一个组成部分，它显示出类似的特性，听觉皮层神经元的刺激特异性适应，听觉痕迹形成的候选机制。
Neuronal adaptation is a ubiquitous property of the cortex. This review presents evidence from MMN studies that show ERP components with similar adaptive properties. Specifically, I consider the empirical evidence from the perspective of a predictive coding model of perceptual learning and inference. Within this framework, ERP and neuronal repetition effects (repetition suppression) are seen as reductions in prediction error, a process that requires synaptic modifications. Repetition positivity is a human auditory ERP component, which shows similar properties to stimulus-specific adaptation of auditory cortex neurons; a candidate mechanism for auditory trace formation.