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用于声音模式识别的听觉特征检测电路。

An auditory feature detection circuit for sound pattern recognition.

作者信息

Schöneich Stefan, Kostarakos Konstantinos, Hedwig Berthold

机构信息

Department of Zoology, University of Cambridge, Downing Street, Cambridge CB2 3EJ, UK.

出版信息

Sci Adv. 2015 Sep 11;1(8):e1500325. doi: 10.1126/sciadv.1500325. eCollection 2015 Sep.

Abstract

From human language to birdsong and the chirps of insects, acoustic communication is based on amplitude and frequency modulation of sound signals. Whereas frequency processing starts at the level of the hearing organs, temporal features of the sound amplitude such as rhythms or pulse rates require processing by central auditory neurons. Besides several theoretical concepts, brain circuits that detect temporal features of a sound signal are poorly understood. We focused on acoustically communicating field crickets and show how five neurons in the brain of females form an auditory feature detector circuit for the pulse pattern of the male calling song. The processing is based on a coincidence detector mechanism that selectively responds when a direct neural response and an intrinsically delayed response to the sound pulses coincide. This circuit provides the basis for auditory mate recognition in field crickets and reveals a principal mechanism of sensory processing underlying the perception of temporal patterns.

摘要

从人类语言到鸟鸣和昆虫的 chirps,声学通信基于声音信号的幅度和频率调制。虽然频率处理始于听觉器官层面,但声音幅度的时间特征,如节奏或脉冲率,需要中枢听觉神经元进行处理。除了几个理论概念外,检测声音信号时间特征的脑回路还知之甚少。我们聚焦于通过声学进行通信的田蟋蟀,并展示了雌性田蟋蟀大脑中的五个神经元如何形成一个用于检测雄性求偶歌声脉冲模式的听觉特征探测器回路。这种处理基于一种巧合探测器机制,当对声脉冲的直接神经反应和内在延迟反应同时出现时,该机制会选择性地做出反应。这个回路为田蟋蟀的听觉配偶识别提供了基础,并揭示了时间模式感知背后的感觉处理主要机制。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7646/4643773/4c28f9c3ae25/1500325-F1.jpg

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