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本文引用的文献

1
Quantification of developmental birdsong learning from the subsyllabic scale to cultural evolution.从亚音节尺度到文化进化的发育鸟类鸣叫学习的量化。
Proc Natl Acad Sci U S A. 2011 Sep 13;108 Suppl 3(Suppl 3):15572-9. doi: 10.1073/pnas.1012941108. Epub 2011 Mar 21.
2
Vocal babbling in songbirds requires the basal ganglia-recipient motor thalamus but not the basal ganglia.鸣禽的发声需要基底神经节-接受体运动丘脑,但不需要基底神经节。
J Neurophysiol. 2011 Jun;105(6):2729-39. doi: 10.1152/jn.00823.2010. Epub 2011 Mar 23.
3
Learning the microstructure of successful behavior.学习成功行为的微观结构。
Nat Neurosci. 2011 Mar;14(3):373-80. doi: 10.1038/nn.2748. Epub 2011 Jan 30.
4
Acquisition of an acoustic template leads to refinement of song motor gestures.获得声学模板可导致歌曲运动手势的精细化。
J Neurophysiol. 2010 Aug;104(2):984-93. doi: 10.1152/jn.01031.2009. Epub 2010 Jun 16.
5
Song practice promotes acute vocal variability at a key stage of sensorimotor learning.歌曲练习促进了感觉运动学习关键阶段的急性声音可变性。
PLoS One. 2010 Jan 6;5(1):e8592. doi: 10.1371/journal.pone.0008592.
6
A basal ganglia-forebrain circuit in the songbird biases motor output to avoid vocal errors.鸣禽的基底神经节-前脑回路会使运动输出产生偏差,以避免发声错误。
Proc Natl Acad Sci U S A. 2009 Jul 28;106(30):12518-23. doi: 10.1073/pnas.0903214106. Epub 2009 Jul 13.
7
Activity propagation in an avian basal ganglia-thalamocortical circuit essential for vocal learning.活动传播在鸟类基底神经节 - 丘脑皮质回路中对于发声学习至关重要。
J Neurosci. 2009 Apr 15;29(15):4782-93. doi: 10.1523/JNEUROSCI.4903-08.2009.
8
Motor learning: changes in the structure of variability in a redundant task.运动学习:冗余任务中变异性结构的变化。
Adv Exp Med Biol. 2009;629:439-56. doi: 10.1007/978-0-387-77064-2_23.
9
Rapid interhemispheric switching during vocal production in a songbird.鸣禽发声过程中半球间的快速切换
PLoS Biol. 2008 Oct 14;6(10):e250. doi: 10.1371/journal.pbio.0060250.
10
Top-down regulation of plasticity in the birdsong system: "premotor" activity in the nucleus HVC predicts song variability better than it predicts song features.鸣禽发声系统可塑性的自上而下调节:HVC核中的“运动前”活动对鸣声变异性的预测比对鸣声特征的预测更好。
J Neurophysiol. 2008 Nov;100(5):2956-65. doi: 10.1152/jn.90501.2008. Epub 2008 Sep 10.

在学习鸣叫时,鸣叫的探索是局部调节的。

Vocal exploration is locally regulated during song learning.

机构信息

Departments of Biology and Biomedical Engineering, City College of New York, City University of New York, New York, New York 10031, USA.

出版信息

J Neurosci. 2012 Mar 7;32(10):3422-32. doi: 10.1523/JNEUROSCI.3740-11.2012.

DOI:10.1523/JNEUROSCI.3740-11.2012
PMID:22399765
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3312320/
Abstract

Exploratory variability is essential for sensorimotor learning, but it is not known how and at what timescales it is regulated. We manipulated song learning in zebra finches to experimentally control the requirements for vocal exploration in different parts of their song. We first trained birds to perform a one-syllable song, and once they mastered it, we added a new syllable to the song model. Remarkably, when practicing the modified song, birds rapidly alternated between high and low acoustic variability to confine vocal exploration to the newly added syllable. Furthermore, even within syllables, acoustic variability changed independently across song elements that were only milliseconds apart. Analysis of the entire vocal output during learning revealed that the variability of each song element decreased as it approached the target, correlating with momentary local distance from the target and less so with the overall distance within a syllable. We conclude that vocal error is computed locally in subsyllabic timescales and that song elements can be learned and crystallized independently. Songbirds have dedicated brain circuitry for vocal babbling in the anterior forebrain pathway (AFP), which generates exploratory song patterns that drive premotor neurons at the song nucleus RA. We hypothesize that either AFP adjusts the gain of vocal exploration in fine timescales or that the sensitivity of RA premotor neurons to AFP/HVC inputs varies across song elements.

摘要

探索性变异性对于感觉运动学习至关重要,但尚不清楚它是如何以及在什么时间尺度上受到调节的。我们通过操纵斑马雀的鸣唱学习来实验性地控制它们在鸣唱不同部分进行发声探索的需求。我们首先训练鸟类唱出一个单音节的鸣唱,一旦它们掌握了这个音节,我们就向鸣唱模型中添加一个新的音节。值得注意的是,在练习修改后的鸣唱时,鸟类会在高低声学变异性之间迅速交替,从而将发声探索限制在新添加的音节上。此外,即使在音节内,声学变异性也会在仅相隔毫秒的不同歌曲元素之间独立变化。对学习过程中整个发声输出的分析表明,每个歌曲元素的变异性随着它接近目标而降低,与目标的局部瞬时距离相关,而与音节内的整体距离相关性较小。我们得出结论,发声错误是在亚音节时间尺度上进行局部计算的,并且歌曲元素可以独立学习和结晶。鸣禽的前脑通路 (AFP) 中存在用于发声咿呀学语的专用大脑回路,该回路产生探索性的鸣唱模式,驱动位于鸣唱核 RA 的运动前神经元。我们假设,要么是 AFP 在精细时间尺度上调整发声探索的增益,要么是 RA 运动前神经元对 AFP/HVC 输入的敏感性在不同的歌曲元素之间变化。