Benichov Jonathan I, Globerson Eitan, Tchernichovski Ofer
Department of Psychology, Hunter College, City University of New York New York, NY, USA.
Gonda Multidisciplinary Brain Research Center, Bar-Ilan UniversityRamat-Gan, Israel; Jerusalem Academy of Music and DanceJerusalem, Israel.
Front Hum Neurosci. 2016 Jun 6;10:255. doi: 10.3389/fnhum.2016.00255. eCollection 2016.
Humans and oscine songbirds share the rare capacity for vocal learning. Songbirds have the ability to acquire songs and calls of various rhythms through imitation. In several species, birds can even coordinate the timing of their vocalizations with other individuals in duets that are synchronized with millisecond-accuracy. It is not known, however, if songbirds can perceive rhythms holistically nor if they are capable of spontaneous entrainment to complex rhythms, in a manner similar to humans. Here we review emerging evidence from studies of rhythm generation and vocal coordination across songbirds and humans. In particular, recently developed experimental methods have revealed neural mechanisms underlying the temporal structure of song and have allowed us to test birds' abilities to predict the timing of rhythmic social signals. Surprisingly, zebra finches can readily learn to anticipate the calls of a "vocal robot" partner and alter the timing of their answers to avoid jamming, even in reference to complex rhythmic patterns. This capacity resembles, to some extent, human predictive motor response to an external beat. In songbirds, this is driven, at least in part, by the forebrain song system, which controls song timing and is essential for vocal learning. Building upon previous evidence for spontaneous entrainment in human and non-human vocal learners, we propose a comparative framework for future studies aimed at identifying shared mechanism of rhythm production and perception across songbirds and humans.
人类和鸣禽都具备罕见的发声学习能力。鸣禽能够通过模仿习得各种节奏的歌声和叫声。在一些物种中,鸟类甚至能在以毫秒精度同步的二重唱中,与其他个体协调发声的时间。然而,尚不清楚鸣禽是否能整体感知节奏,也不清楚它们是否能够像人类一样,自发地跟上复杂节奏。在此,我们综述了来自鸣禽和人类节奏生成与发声协调研究的新证据。特别是,最近开发的实验方法揭示了歌曲时间结构背后的神经机制,并使我们能够测试鸟类预测有节奏的社交信号时间的能力。令人惊讶的是,斑胸草雀能够轻松学会预测“发声机器人”伙伴的叫声,并改变自己回应的时间以避免干扰,即使是针对复杂的节奏模式。这种能力在某种程度上类似于人类对外部节拍的预测性运动反应。在鸣禽中,这至少部分是由前脑歌声系统驱动的,该系统控制歌声的时间,对发声学习至关重要。基于之前关于人类和非人类发声学习者自发同步的证据,我们提出了一个比较框架,用于未来的研究,旨在确定鸣禽和人类在节奏产生和感知方面的共同机制。