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首页> 外文期刊>Neuron >Training Humans to Categorize Monkey Calls: Auditory Feature- and Category-Selective Neural Tuning Changes
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Training Humans to Categorize Monkey Calls: Auditory Feature- and Category-Selective Neural Tuning Changes

机译：培训人类将猴子呼叫分类：听觉特征 - 和类别选择性神经调整变化

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摘要

Grouping auditory stimuli into common categories is essential for a variety of auditory tasks, including speech recognition. We trained human participants to categorize auditory stimuli from a large novel set of morphed monkey vocalizations. Using fMRI-rapid adaptation (fMRI-RA) and multi-voxel pattern analysis (MVPA) techniques, we gained evidence that categorization training results in two distinct sets of changes: sharpened tuning to monkey call features (without explicit category representation) in left auditory cortex and category selectivity for different types of calls in lateral prefrontal cortex. In addition, the sharpness of neural selectivity in left auditory cortex, as estimated with both fMRI-RA and MVPA, predicted the steepness of the categorical boundary,?whereas categorical judgment correlated with release from adaptation in the left inferior frontal gyrus. These results support the theory that auditory category learning follows a two-stage model analogous to the visual domain, suggesting general principles of perceptual category learning in the human brain.
机译：将听觉刺激分组成共同类别对于各种听觉任务是必不可少的，包括语音识别。我们培训了人类参与者从一部大型小说的传感猴子发声进行了对听觉刺激。使用FMRI快速适应（FMRI-RA）和多体素图案分析（MVPA）技术，我们获得了证据，即分类培训导致两种不同的变化集：左耳上的调整到猴子呼叫功能（没有显式类别表示）在横向前额叶皮质中不同类型呼叫的皮质和类别选择性。此外，与FMRI-RA和MVPA的估计，左听觉皮质中神经选择性的锐度预测了分类边界的陡度，而分类判断与左下方转近的自适应中的自适应相关联。这些结果支持听觉类别学习遵循类似于视觉领域的两级模型的理论，这表明人类大脑中感知类别的一般原则。

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