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Quantification of developmental birdsong learning from the subsyllabic scale to cultural evolution

机译:从亚音节规模到文化进化的发展鸟类鸣叫学习的量化

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Quantitative analysis of behavior plays an important role in bird-song neuroethology, serving as a common denominator in studies spanning molecular to system-level investigation of sensory-motor conversion, developmental learning, and pattern generation in the brain. In this review, we describe the role of behavioral analysis in facilitating cross-level integration. Modern sound analysis approaches allow investigation of developmental song learning across multiple time scales. Combined with novel methods that allow experimental control of vocal changes, it is now possible to test hypotheses about mechanisms of vocal learning. Further, song analysis can be done at the population level across generations to track cultural evolution and multigenerational behavioral processes. Complementing the investigation of song development with non-invasive brain imaging technology makes it now possible to study behavioral dynamics at multiple levels side by side with developmental changes in brain connectivity and in auditory responses.
机译:行为的定量分析在鸟类歌曲神经行为学中起着重要作用,在分子到系统水平的感觉运动转换,发育学习和大脑模式产生的研究中,它是共同的分母。在这篇评论中,我们描述了行为分析在促进跨级别集成中的作用。现代声音分析方法允许跨多个时间尺度调查发展性歌曲学习。结合允许实验控制声音变化的新颖方法,现在可以测试有关声音学习机制的假设。此外,可以在几代人之间的人口层次上进行歌曲分析,以跟踪文化演变和多代行为过程。用非侵入性脑成像技术补充对歌曲发展的调查,现在可以研究大脑连接性和听觉反应的发展变化,并排研究多个层面的行为动力学。

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