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A Spike-Timing Code for Discriminating Conspecific Vocalizations in the Thalamocortical System of Anesthetized and Awake Guinea Pigs

机译:用来区分麻醉和清醒豚鼠丘脑皮质系统中特定音色发声的峰值计时代码

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摘要

Understanding how communication sounds are processed and encoded in the central auditory system is critical to understanding the neural bases of acoustic communication. Here, we examined neuronal representations of species-specific vocalizations, which are communication sounds that many species rely on for survival and social interaction. In some species, the evoked responses of auditory cortex neurons are stronger in response to natural conspecific vocalizations than to their time-reversed, spectrally identical, counterparts. We applied information theory-based analyses to single-unit spike trains collected in the auditory cortex (n = 139) and auditory thalamus (n = 135) of anesthetized animals as well as in the auditory cortex (n = 119) of awake guinea pigs during presentation of four conspecific vocalizations. Few thalamic and cortical cells (<10%) displayed a firing rate preference for the natural version of these vocalizations. In contrast, when the information transmitted by the spike trains was quantified with a temporal precision of 10–50 ms, many cells (>75%) displayed a significant amount of information (i.e., >2SD above chance levels), especially in the awake condition. The computed correlation index between spike trains (Rcorr, defined by ) indicated similar spike-timing reliability for both the natural and time-reversed versions of each vocalization, but higher reliability for awake animals compared with anesthetized animals. Based on temporal discharge patterns, even cells that were only weakly responsive to vocalizations displayed a significant level of information. These findings emphasize the importance of temporal discharge patterns as a coding mechanism for natural communication sounds, particularly in awake animals.
机译:了解通信声音在中央听觉系统中是如何处理和编码的,对于理解声学通信的神经基础至关重要。在这里,我们检查了特定物种的发声的神经元表示,这些发声是许多物种赖以生存和社交互动的交流声音。在某些物种中,听觉皮层神经元对自然同种发声的诱发反应比对它们的时间反向,频谱相同的对应物的反应更强。我们将基于信息论的分析应用于麻醉动物的听觉皮层(n = 139)和听觉丘脑(n = 135)以及清醒豚鼠的听觉皮层(n = 119)中收集的单个单位峰值序列在介绍四个特定的发声时很少有丘脑和皮层细胞(<10%)对这些发声的自然形式表现出较高的发声率。相反,当以10–50 ms的时间精度对尖峰序列传输的信息进行量化时,许多单元格(> 75%)显示出大量信息(即,高于偶然水平> 2SD),尤其是在清醒时健康)状况。峰值序列之间的计算相关指数(Rcorr,由定义)表明,每种发声的自然和时间反转版本的峰值定时可靠性相似,但与麻醉动物相比,清醒动物可靠性更高。基于时间放电模式,即使是仅对发声反应较弱的细胞也显示出重要的信息水平。这些发现强调了暂时放电模式作为自然交流声音(特别是在清醒动物中)的编码机制的重要性。

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