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听觉皮层中的预测编码和音高处理。

Predictive coding and pitch processing in the auditory cortex.

机构信息

Newcastle University Medical School, UK.

出版信息

J Cogn Neurosci. 2011 Oct;23(10):3084-94. doi: 10.1162/jocn_a_00021. Epub 2011 Mar 31.

Abstract

In this work, we show that electrophysiological responses during pitch perception are best explained by distributed activity in a hierarchy of cortical sources and, crucially, that the effective connectivity between these sources is modulated with pitch strength. Local field potentials were recorded in two subjects from primary auditory cortex and adjacent auditory cortical areas along the axis of Heschl's gyrus (HG) while they listened to stimuli of varying pitch strength. Dynamic causal modeling was used to compare system architectures that might explain the recorded activity. The data show that representation of pitch requires an interaction between nonprimary and primary auditory cortex along HG that is consistent with the principle of predictive coding.

摘要

在这项工作中,我们表明,在音高感知过程中的电生理反应最好通过皮质源层次结构中的分布式活动来解释,而且关键是,这些源之间的有效连接随着音强的变化而调制。在两个被试者听不同音强刺激时,我们从初级听觉皮层和沿着赫斯尔氏回(HG)的相邻听觉皮层区域记录了局部场电位。我们使用动态因果建模来比较可能解释记录活动的系统架构。数据表明,音高的表示需要 HG 上的非初级和初级听觉皮层之间的相互作用,这与预测编码原理一致。

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本文引用的文献

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Direct recordings of pitch responses from human auditory cortex.人类听觉皮层的音高反应的直接记录。
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Comparing families of dynamic causal models.比较动态因果模型的家族。
PLoS Comput Biol. 2010 Mar 12;6(3):e1000709. doi: 10.1371/journal.pcbi.1000709.
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Dichotic pitch activates pitch processing centre in Heschl's gyrus.两耳分听激活了赫氏回的音高加工中心。
Neuroimage. 2010 Jan 15;49(2):1641-9. doi: 10.1016/j.neuroimage.2009.09.045. Epub 2009 Sep 25.
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Recognizing sequences of sequences.识别序列的序列。
PLoS Comput Biol. 2009 Aug;5(8):e1000464. doi: 10.1371/journal.pcbi.1000464. Epub 2009 Aug 14.
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Coding of repetitive transients by auditory cortex on Heschl's gyrus.听觉皮层在海氏回对重复瞬态的编码。
J Neurophysiol. 2009 Oct;102(4):2358-74. doi: 10.1152/jn.91346.2008. Epub 2009 Aug 12.
8
Predictive coding under the free-energy principle.自由能原理下的预测编码
Philos Trans R Soc Lond B Biol Sci. 2009 May 12;364(1521):1211-21. doi: 10.1098/rstb.2008.0300.
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Bayesian model selection for group studies.群体研究的贝叶斯模型选择
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