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Corollary Discharge Versus Efference Copy: Distinct Neural Signals in Speech Preparation Differentially Modulate Auditory Responses.
Cerebral Cortex ( IF 3.7 ) Pub Date : 2020-06-16 , DOI: 10.1093/cercor/bhaa154
Siqi Li 1, 2 , Hao Zhu 2, 3 , Xing Tian 2, 3
Affiliation  

Actions influence sensory processing in a complex way to shape behavior. For example, during actions, a copy of motor signals—termed “corollary discharge” (CD) or “efference copy” (EC)—can be transmitted to sensory regions and modulate perception. However, the sole inhibitory function of the motor copies is challenged by mixed empirical observations as well as multifaceted computational demands for behaviors. We hypothesized that the content in the motor signals available at distinct stages of actions determined the nature of signals (CD vs. EC) and constrained their modulatory functions on perceptual processing. We tested this hypothesis using speech in which we could precisely control and quantify the course of action. In three electroencephalography (EEG) experiments using a novel delayed articulation paradigm, we found that preparation without linguistic contents suppressed auditory responses to all speech sounds, whereas preparing to speak a syllable selectively enhanced the auditory responses to the prepared syllable. A computational model demonstrated that a bifurcation of motor signals could be a potential algorithm and neural implementation to achieve the distinct functions in the motor-to-sensory transformation. These results suggest that distinct motor signals are generated in the motor-to-sensory transformation and integrated with sensory input to modulate perception.

中文翻译:

Corollary Discharge Versus Efference Copy:语音准备中的不同神经信号差异性地调节听觉反应。

行为以一种复杂的方式影响感官处理以塑造行为。例如,在动作过程中,运动信号的副本——称为“必然放电”(CD) 或“情感副本”(EC)——可以传输到感觉区域并调节感知。然而,运动副本的唯一抑制功能受到混合经验观察以及对行为的多方面计算需求的挑战。我们假设在不同动作阶段可用的运动信号中的内容决定了信号的性质(CD 与 EC)并限制了它们对感知处理的调节功能。我们使用语音测试了这个假设,我们可以在其中精确控制和量化行动过程。在使用新型延迟发音范式的三个脑电图 (EEG) 实验中,我们发现,没有语言内容的准备会抑制对所有语音的听觉反应,而准备说一个音节会选择性地增强对准备好的音节的听觉反应。一个计算模型表明,运动信号的分叉可能是一种潜在的算法和神经实现,可以在运动到感觉的转换中实现不同的功能。这些结果表明,在运动到感觉的转换中会产生不同的运动信号,并与感觉输入相结合以调节感知。一个计算模型表明,运动信号的分叉可能是一种潜在的算法和神经实现,可以在运动到感觉的转换中实现不同的功能。这些结果表明,在运动到感觉的转换中会产生不同的运动信号,并与感觉输入相结合以调节感知。一个计算模型表明,运动信号的分叉可能是一种潜在的算法和神经实现,可以在运动到感觉的转换中实现不同的功能。这些结果表明,在运动到感觉的转换中会产生不同的运动信号,并与感觉输入相结合以调节感知。
更新日期:2020-06-16
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