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Temporal Coherence in the Perceptual Organization and Cortical Representation of Auditory Scenes

机译:听觉场景的知觉组织和皮质表征中的时间连贯性

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摘要

Just as the visual system parses complex scenes into identifiable objects, the auditory system must organize sound elements scattered in frequency and time into coherent “streams”. Current neuro-computational theories of auditory streaming rely on tonotopic organization of the auditory system to explain the observation that sequential spectrally distant sound elements tend to form separate perceptual streams. Here, we show that spectral components that are well separated in frequency are no longer heard as separate streams if presented synchronously rather than consecutively. In contrast, responses from neurons in primary auditory cortex of ferrets show that both synchronous and asynchronous tone sequences produce comparably segregated responses along the tonotopic axis. The results argue against tonotopic separation per se as a neural correlate of stream segregation. Instead we propose a computational model of stream segregation that can account for the data by using temporal coherence as the primary criterion for predicting stream formation.
机译:正如视觉系统将复杂的场景解析为可识别的对象一样,听觉系统也必须将分散在频率和时间上的声音元素组织成连贯的“流”。当前的听觉流的神经计算理论依赖于听觉系统的声调组织来解释这种观察,即相继的频谱远距离的声音元素倾向于形成独立的感知流。在这里,我们显示,如果以同步方式而不是连续方式呈现,则在频率上很好分离的频谱分量将不再作为单独的流被听到。相反,来自雪貂初级听觉皮层的神经元的响应表明,同步和异步音调序列都沿着同位异位轴产生相对分离的响应。该结果反对将tonotopic分离本身视为流分离的神经相关因素。相反,我们提出了一种流分离的计算模型,该模型可以通过使用时间相干性作为预测流形成的主要标准来解释数据。

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