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Neuronal populations and single cells representing learned auditory objects

机译:代表学习到的听觉对象的神经元群体和单个细胞

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摘要

The neural representations associated with learned auditory behaviours, such as recognizing individuals based on their vocalizations, are not well described. Higher vertebrates learn to recognize complex conspecific vocalizations that comprise sequences of easily identified, naturally occurring auditory objects, which should facilitate the analysis of higher auditory pathways. Here we describe the first example of neurons selective for learned conspecific vocalizations in adult animals―in starlings that have been trained operantly to recognize conspecific songs. The neuronal population is found in a non-primary forebrain auditory region, exhibits increased responses to the set of learned songs compared with novel songs, and shows differential responses to categories of learned songs based on recognition training contingencies. Within the population, many cells respond highly selectively to a subset of specific motifs (acoustic objects) present only in the learned songs. Such neuronal selectivity may contribute to song-recognition behaviour, which in starlings is sensitive to motif identity. In this system, both top-down and bottom-up processes may modify the tuning properties of neurons during recognition learning, giving rise to plastic representations of behaviourally meaningful auditory objects.
机译:与学习的听觉行为相关的神经表示,例如根据发声识别个人,没有得到很好的描述。高等脊椎动物学会识别复杂的,特定的发声,这些发声包括容易识别的,自然发生的听觉对象的序列,这应该有助于分析更高的听觉通路。在这里,我们描述了成年动物中学习到的特定音的选择性选择性神经元的第一个例子-在经过操作训练以识别特定音的八哥中。在非主要前脑听觉区域发现神经元群体,与新颖歌曲相比,对学习歌曲的集合表现出增强的反应,并且基于识别训练的偶然性,对学习歌曲的类别表现出不同的响应。在种群中,许多细胞对仅存在于所学歌曲中的特定基序(声学对象)的子集有很高的选择性。这种神经元选择性可能有助于歌曲识别行为,这在ling鸟中对基序身份很敏感。在此系统中,自上而下和自下而上的过程都可能会在识别学习过程中修改神经元的调节特性,从而产生行为上有意义的听觉对象的可塑性表示。

著录项

  • 来源
    《Nature》 |2003年第6949期|p.669-674|共6页
  • 作者单位

    Department of Organismal Biology and Anatomy, University of Chicago, 1027 East 57th Street, Chicago, Illinois 60637, 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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