Repetition suppression and its contextual determinants in predictive coding.
Repetition suppression and its contextual determinants in predictive coding.
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DOI：
10.1016/j.cortex.2015.11.024
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发表时间：
2016-07
期刊：
影响因子：
--
通讯作者：
Friston K
中科院分区：
文献类型：
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作者：
Auksztulewicz R;Friston K
本文综述了预测编码中重复抑制的理论和实证研究。预测编码是一种神经生物学上合理的方案，解释了生物系统如何进行感知推理和学习。从这个角度来看，重复抑制是通过对感官输入的内容和精度的预测的适应性变化来最小化预测误差的表现。人工神经层次的模拟提供了一种原则性的方法来理解如何在不同的时间尺度上用预测编码下实现的推理和学习来解释重复抑制。重复抑制的这种表述得到了重复抑制及其上下文决定因素的大量实证研究结果的支持。
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.