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首页> 外文期刊>Proceedings of the National Academy of Sciences of the United States of America >Auditory abstraction from spectro-temporal features to coding auditory entities
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Auditory abstraction from spectro-temporal features to coding auditory entities

机译：从频谱时态特征到听觉实体编码的听觉抽象

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摘要

The auditory system extracts behaviorally relevant information from acoustic stimuli. The average activity in auditory cortex is known to be sensitive to spectro-temporal patterns in sounds. However, it is not known whether the auditory cortex also processes more abstract features of sounds, which may be more behaviorally relevant than spectro-temporal patterns. Using recordings from three stations of the auditory pathway, the inferior colliculus (IC), the ventral division of the medial geniculate body (MGB) of the thalamus, and the primary auditory cortex (A1) of the cat in response to natural sounds, we compared the amount of information that spikes contained about two aspects of the stimuli: spectro-temporal patterns, and abstract entities present in the same stimuli such as a bird chirp, its echoes, and the ambient noise. IC spikes conveyed on average approximately the same amount of information about spectro-temporal patterns as they conveyed about abstract auditory entities, but A1 and the MGB neurons conveyed on average three times more information about abstract auditory entities than about spectro-temporal patterns. Thus, the majority of neurons in auditory thalamus and cortex coded well the presence of abstract entities in the sounds without containing much information about their spectro-temporal structure, suggesting that they are sensitive to abstract features in these sounds.
机译：听觉系统从声学刺激中提取与行为相关的信息。众所周知，听觉皮层的平均活动对声音的频谱时间模式很敏感。但是，尚不清楚听觉皮层是否还处理声音的更多抽象特征，这在行为上可能比时空模式更重要。使用听觉通路的三个位置（下丘脑（IC），丘脑内侧膝状体（MGB）的腹侧分隔和猫的初级听觉皮层（A1））对自然声音的响应记录，我们比较了尖峰信号包含的两个方面的信息：光谱时态和同一刺激信号中存在的抽象实体，例如鸟鸣，其回声和环境噪声。 IC尖峰平均传达的光谱时间模式信息大约与抽象听觉实体信息时相同，但是A1和MGB神经元平均传达的抽象听觉实体信息比光谱时间模式多3倍。因此，听觉丘脑和皮层中的大多数神经元很好地编码了声音中抽象实体的存在，而没有包含有关其频谱时态结构的大量信息，表明它们对这些声音中的抽象特征敏感。

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    Gal Chechik; Israel Nelken;

  • 作者单位

    The Gonda Multidisciplinary Brain Research Center, Bar Man University, Ramat Gan 52900, Israel;

    The Edmond and Lily Safra Center for Brain Sciences and the Interdisciplinary Center for Neural Computation, Hebrew University, Jerusalem 91904, Israel,Department of Neurobiology, Hebrew University, Jerusalem 91904, Israel;

  • 收录信息 美国《科学引文索引》(SCI);美国《生物学医学文摘》(MEDLINE);美国《化学文摘》(CA);
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