Predictive Processing: A Canonical Cortical Computation

被引：373

作者：

Keller, Georg B. ^{[1
,2
]}

Mrsic-Flogel, Thomas D. ^{[3
]}

机构：

[1] Friedrich Miescher Inst Biomed Res, Basel, Switzerland

[2] Univ Basel, Fac Nat Sci, Basel, Switzerland

[3] UCL, Sainsbury Wellcome Ctr Neural Circuits & Behav, London, England

来源：

NEURON | 2018年 / 100卷 / 02期

基金：

瑞士国家科学基金会; 英国惠康基金;

关键词：

PRIMARY VISUAL-CORTEX; RECEPTIVE-FIELDS; ORGANIZING PRINCIPLE; NEURAL CIRCUIT; LOCAL CIRCUITS; SPATIAL MAP; LONG-RANGE; MODULATION; ADAPTATION; CONNECTIVITY;

D O I：

10.1016/j.neuron.2018.10.003

中图分类号：

Q189 [神经科学];

学科分类号：

071006 ;

摘要：

This perspective describes predictive processing as a computational framework for understanding cortical function in the context of emerging evidence, with a focus on sensory processing. We discuss how the predictive processing framework may be implemented at the level of cortical circuits and how its implementation could be falsified experimentally. Lastly, we summarize the general implications of predictive processing on cortical function in healthy and diseased states.

引用

页码：424 / 435

页数：12

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