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Modeling the auditory scene: predictive regularity representations and perceptual objects.

机译:建模听觉场景:预测规律性表示和感知对象。

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Predictive processing of information is essential for goal-directed behavior. We offer an account of auditory perception suggesting that representations of predictable patterns, or 'regularities', extracted from the incoming sounds serve as auditory perceptual objects. The auditory system continuously searches for regularities within the acoustic signal. Primitive regularities may be encoded by neurons adapting their response to specific sounds. Such neurons have been observed in many parts of the auditory system. Representations of the detected regularities produce predictions of upcoming sounds as well as alternative solutions for parsing the composite input into coherent sequences potentially emitted by putative sound sources. Accuracy of the predictions can be utilized for selecting the most likely interpretation of the auditory input. Thus in our view, perception generates hypotheses about the causal structure of the world.
机译:信息的预测处理对于目标导向的行为至关重要。我们提供了一个听觉感知的说明,暗示从传入声音中提取的可预测模式或“规律性”的表示充当听觉感知对象。听觉系统连续搜索声信号内的规律性。原始规律性可以由神经元针对特定声音的响应进行编码。已经在听觉系统的许多部分中观察到了这种神经元。检测到的规律性的表示产生对即将到来的声音的预测,以及用于将复合输入解析为推定声源可能发出的相干序列的替代解决方案。预测的准确性可以用于选择听觉输入的最可能的解释。因此,在我们看来,知觉产生了关于世界因果结构的假设。

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