Network dynamics underlie learning and performance of birdsong
Network dynamics underlie learning and performance of birdsong
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DOI：
10.1016/j.conb.2020.04.004
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发表时间：
2020-10-01
影响因子：
5.7
通讯作者：
Johnson, Frank
中科院分区：
文献类型：
--
作者：
Bertram, Richard;Hyson, Richard L.;Johnson, Frank
了解人类语言模式的感觉运动控制是神经科学中的一个最重要的问题。通过模仿学习，以有意义的模式快速排列声音的能力显然是人类行为特征中最具衍生性的一种。选择压力产生了类似的能力，在许多物种的声音学习鸟类，由于越来越多的赞赏的认知和计算的灵活性，鸟类皮层和基底神经节，前脑网络，支持学习和生产的鸟鸣开始出现一般的理解。在这里，我们回顾了斑胸草雀（Taeniopygia guttata）实验研究的最新进展，这些研究为支持这种令人惊讶的人类语音学习和生产模拟的网络动态提供了新的见解。
Understanding the sensorimotor control of the endless variety of human speech patterns stands as one of the apex problems in neuroscience. The capacity to learn - through imitation - to rapidly sequence vocal sounds in meaningful patterns is clearly one of the most derived of human behavioral traits. Selection pressure produced an analogous capacity in numerous species of vocal-learning birds, and due to an increasing appreciation for the cognitive and computational flexibility of avian cortex and basal ganglia, a general understanding of the forebrain network that supports the learning and production of birdsong is beginning to emerge. Here, we review recent advances in experimental studies of the zebra finch (Taeniopygia guttata), which offer new insights into the network dynamics that support this surprising analogue of human speech learning and production.