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Performance variability enables adaptive plasticity of 'crystallized' adult birdsong

机译:性能差异使“结晶的”成年鸟鸣具有适应性可塑性

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摘要

Significant trial-by-trial variation persists even in the most practiced skills. One prevalent view is that such variation is simply 'noise' that the nervous system is unable to control or that remains below threshold for behavioural relevance. An alternative hypothesis is that such variation enables trial-and-error learning, in which the motor system generates variation and differentially retains behaviours that give rise to better outcomes. Here we test the latter possibility for adult bengalese finch song. Adult bird-song is a complex, learned motor skill that is produced in a highly stereotyped fashion from one rendition to the next. Nevertheless, there is subtle trial-by-trial variation even in stable, 'crystallized' adult song. We used a computerized system to monitor small natural variations in the pitch of targeted song elements and deliver real-time auditory disruption to a subset of those variations. Birds rapidly shifted the pitch of their vocalizations in an adaptive fashion to avoid disruption. These vocal changes were precisely restricted to the targeted features of song. Hence, birds were able to learn effectively by associating small variations in their vocal behaviour with differential outcomes. Such a process could help to maintain stable, learned song despite changes to the vocal control system arising from ageing or injury. More generally, our results suggest that residual variability in well learned skills is not entirely noise but rather reflects meaningful motor exploration that can support continuous learning and optimization of performance.
机译:即使在最常实践的技能中,重大的逐项试验差异仍然存在。一种普遍的观点是,这种变化只是神经系统无法控制或保持在行为相关性阈值以下的“噪声”。另一种假设是,这种变化可以实现试错法学习,其中电机系统产生变化并有差别地保留行为,从而产生更好的结果。在这里,我们测试了成年孟加拉雀科歌曲的后一种可能性。成年鸟类歌曲是一种复杂的,习得的运动技能,它以一种高度定型的方式从一种演绎到另一种演绎而产生。然而,即使在稳定的,“结晶的”成年歌曲中,也存在细微的逐次尝试变化。我们使用计算机系统来监控目标歌曲元素的音高中的小自然变化,并对这些变化的子集提供实时的听觉干扰。鸟类以适应性的方式迅速改变其发声的音调,以避免干扰。这些声音变化恰好限于歌曲的目标功能。因此,鸟类能够通过将其声音行为的微小变化与不同的结果相关联来有效地学习。尽管由于衰老或受伤导致人声控制系统发生了变化,但这样的过程仍有助于保持稳定,学得好的歌曲。更普遍地,我们的结果表明,学得好的技能的剩余变异性并非完全是噪音,而是反映了有意义的运动探索,可以支持持续学习和性能优化。

著录项

  • 来源
    《Nature》 |2007年第7173期|p.1240-1244|共5页
  • 作者单位

    Keck Center for Integrative Neuroscience, Sloan-Swartz Center for Theoretical Neurobiology, Department of Physiology, University of California, San Francisco, California 94143- 0444, USA;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);美国《生物学医学文摘》(MEDLINE);美国《化学文摘》(CA);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 自然科学总论;
  • 关键词

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