Derégnaucourt S, Mitra P P, Fehér O, Maul K K, Lints T J, Tchernichovski O
Department of Biology, City College, City University of New York, 138th Street and Convent Avenue, New York, NY 10031, USA.
Ann N Y Acad Sci. 2004 Jun;1016:364-76. doi: 10.1196/annals.1298.036.
Song development provides an opportunity to study the mechanisms of vocal learning dynamically at molecular, cellular and systems levels, and across time scales ranging from minutes to months. To exploit these opportunities one needs to identify appropriate units, types and time scales of vocal change in nearly real time. The previous chapter by Tchernikovski et al. in this volume described techniques that make this research strategy feasible by allowing us to observe the song learning process through a "temporal microscope" with variable degrees of resolution. In this chapter we summarize some of the new observations and raise hypotheses about the learning strategy of the bird. We focus on inferences that can be drawn from behavioral observations to the nature and complexity of the instructive signal that guides the vocal change (error-signal). We examine two effects: i) the emergence of syllable types and ii) changes in features within a syllable type. We found that different features of the same syllable change during different and sometimes disjointed developmental windows. We discuss the possibility that song imitation is achieved by correcting partial errors, and that features of those partial errors change adaptively during development, perhaps concurrently with changes in perception and in motor proficiency. Those hypotheses can be best examined by across levels investigation, starting from identifying critical moments in song development and recording of articulatory dynamics and neural patterns when only a few features of specific syllables undergo rapid changes. Such investigation could relate behavioral events to brain mechanisms that guide song learning from moment-to-moment and across extended periods.
鸣禽歌声发育为在分子、细胞和系统水平动态研究发声学习机制提供了契机,且时间尺度涵盖从数分钟到数月不等。为利用这些契机,人们需要近乎实时地确定发声变化的合适单元、类型和时间尺度。Tchernikovski等人在本书上一章描述了一些技术,这些技术通过让我们借助具有不同分辨率的“时间显微镜”观察歌声学习过程,使这种研究策略变得可行。在本章中,我们总结了一些新的观察结果,并提出了关于鸟类学习策略的假设。我们关注从行为观察中可以推断出的引导发声变化(误差信号)的指导性信号的性质和复杂性。我们研究两种效应:i)音节类型的出现和ii)音节类型内特征的变化。我们发现,同一音节的不同特征在不同的、有时是不连续的发育窗口中发生变化。我们讨论了歌声模仿是通过纠正部分错误来实现的可能性,以及这些部分错误的特征在发育过程中可能会自适应地变化,也许与感知和运动熟练程度的变化同时发生。这些假设最好通过跨层次研究来检验,从确定歌声发育中的关键时刻以及在特定音节只有少数特征快速变化时记录发音动态和神经模式开始。这样的研究可以将行为事件与在瞬间和长时间内指导歌声学习的脑机制联系起来。