Fee Michale S, Kozhevnikov Alexay A, Hahnloser Richard H R
McGovern Institute for Brain Research, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
Ann N Y Acad Sci. 2004 Jun;1016:153-70. doi: 10.1196/annals.1298.022.
Little is known about the biophysical and neuronal circuit mechanisms underlying the generation and learning of behavioral sequences. Songbirds provide a marvelous animal model in which to study these phenomena. By use of a motorized microdrive to record the activity of single neurons in the singing bird, we are beginning to understand the circuits that generate complex vocal sequences. We describe recent experiments elucidating the role of premotor song-control nucleus HVC in the production of song. We find that HVC neurons projecting to premotor nucleus RA each generate a single burst of spikes at a particular time in the song and may form a sparse representation of temporal order. We incorporate this observation into a working hypothesis for the generation of vocal sequences in the songbird, and examine some implications for song learning.
关于行为序列的产生和学习背后的生物物理和神经回路机制,我们所知甚少。鸣禽提供了一个绝佳的动物模型来研究这些现象。通过使用电动微驱动器记录鸣禽中单个神经元的活动,我们开始了解产生复杂发声序列的回路。我们描述了最近的实验,阐明了运动前歌曲控制核团HVC在歌曲产生中的作用。我们发现,投射到运动前核团RA的HVC神经元在歌曲的特定时间各自产生单个尖峰脉冲串,并且可能形成时间顺序的稀疏表征。我们将这一观察结果纳入一个关于鸣禽发声序列产生的工作假设中,并探讨其对歌曲学习的一些影响。