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鸟类鸣唱运动通路的模拟:单个神经元引发一连串事件,从而产生具有逼真频谱特性的鸟鸣。

Simulation of the song motor pathway in birds: A single neuron initiates a chain of events that produces birdsong with realistic spectra properties.

机构信息

Instituto de Fisica, Universidad de Antioquia, Calle 70 No. 52-21, Medellin, Colombia.

Instituto de Biologia, Universidad de Antioquia, Calle 70 No. 52-21, Medellin, Colombia.

出版信息

PLoS One. 2018 Oct 5;13(10):e0200998. doi: 10.1371/journal.pone.0200998. eCollection 2018.

Abstract

Birdsong is a complex learned behavior regulated by Neuromuscular coordination of different muscle sets necessary for producing relevant sounds. We developed a heterogeneous and stochastically connected neural network representing the pathway from the high vocal center (HVC) to the robust nucleus of the arcopallium (RA) neurons that drive the muscles to generate sounds. We show that a single active neuron is sufficient to initiate a chain of spiking events that results to excite the entire network system. The network could synthesize realistic bird sounds spectra, with spontaneous generation of intermittent sound bursts typical of birdsong (song syllables). This study confirms experiments on animals and on humans, where results have shown that single neurons are responsible for the activation of complex behavior or are associated with high-level perception events.

摘要

鸟鸣是一种复杂的习得行为,由产生相关声音所需的不同肌肉群的神经肌肉协调调节。我们开发了一个异质的、随机连接的神经网络,代表了从高音中心(HVC)到驱动肌肉产生声音的强劲核果体(RA)神经元的通路。我们表明,单个活跃神经元足以引发一连串的尖峰事件,从而激发整个网络系统。该网络可以合成具有现实鸟类声音频谱的声音,具有鸟类声音(歌曲音节)典型的间歇性爆发。这项研究证实了在动物和人类身上的实验结果,这些结果表明单个神经元负责激活复杂行为或与高级感知事件相关。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4a80/6173377/5bcb4bc8709f/pone.0200998.g001.jpg

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