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分配听觉注意力的机制:听觉显著性图谱。

Mechanisms for allocating auditory attention: an auditory saliency map.

作者信息

Kayser Christoph, Petkov Christopher I, Lippert Michael, Logothetis Nikos K

机构信息

Max Planck Institute for Biological Cybernetics, Tübingen, Germany.

出版信息

Curr Biol. 2005 Nov 8;15(21):1943-7. doi: 10.1016/j.cub.2005.09.040.

Abstract

Our nervous system is confronted with a barrage of sensory stimuli, but neural resources are limited and not all stimuli can be processed to the same extent. Mechanisms exist to bias attention toward the particularly salient events, thereby providing a weighted representation of our environment. Our understanding of these mechanisms is still limited, but theoretical models can replicate such a weighting of sensory inputs and provide a basis for understanding the underlying principles. Here, we describe such a model for the auditory system-an auditory saliency map. We experimentally validate the model on natural acoustical scenarios, demonstrating that it reproduces human judgments of auditory saliency and predicts the detectability of salient sounds embedded in noisy backgrounds. In addition, it also predicts the natural orienting behavior of naive macaque monkeys to the same salient stimuli. The structure of the suggested model is identical to that of successfully used visual saliency maps. Hence, we conclude that saliency is determined either by implementing similar mechanisms in different unisensory pathways or by the same mechanism in multisensory areas. In any case, our results demonstrate that different primate sensory systems rely on common principles for extracting relevant sensory events.

摘要

我们的神经系统面临着一连串的感觉刺激,但神经资源是有限的,并非所有刺激都能得到同等程度的处理。机体存在一些机制,使注意力偏向特别突出的事件,从而对我们的环境形成一种加权表征。我们对这些机制的理解仍然有限,但理论模型能够复制这种感觉输入的加权过程,并为理解其潜在原理提供基础。在此,我们描述了一种针对听觉系统的模型——听觉显著性图。我们在自然声学场景中对该模型进行了实验验证,证明它能够再现人类对听觉显著性的判断,并预测嵌入嘈杂背景中的显著声音的可检测性。此外,它还能预测初出茅庐的猕猴对相同显著刺激的自然定向行为。所提出模型的结构与成功应用的视觉显著性图相同。因此,我们得出结论,显著性要么是通过在不同的单感觉通路中实施类似机制来决定,要么是由多感觉区域中的相同机制决定。无论如何,我们的结果表明,不同的灵长类感觉系统依靠共同的原理来提取相关的感觉事件。

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