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Quantifying the Adequacy of Neural Representations for a Cross-Language Phonetic Discrimination Task: Prediction of Individual Differences

机译:量化神经表示形式对跨语言语音识别任务的适当性:个体差异的预测

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摘要

In order for stimuli to be perceptually discriminable, their representations in the brain must be distinct. Investigating the task of discriminating the syllables /ra/ and /la/, we hypothesized that the more distinct a person's neural representations of those sounds were, the better their behavioral ability to discriminate them would be. Standard neuroimaging approaches are ill-suited to testing this hypothesis as they have problems differentiating between neural representations spatially intermingled within the same brain area. We therefore performed multi-voxel pattern-based analysis of the functional magnetic resonance imaging (fMRI) activity elicited by these syllables, in native speakers of English and Japanese. In right primary auditory cortex, the statistical separability of these fMRI patterns predicted subjects’ behavioral ability to tell the sounds apart, not only across groups but also across individuals. This opens up a new approach for identifying neural representations and for quantifying their task suitability.
机译:为了在视觉上区分刺激,它们在大脑中的表示必须不同。在研究区分音节/ ra /和/ la /的任务时,我们假设一个人对这些声音的神经表示越清晰,他们的行为能力就越强。标准神经影像学方法不适合测试该假设,因为它们在区分同一大脑区域内空间混合的神经表示之间存在问题。因此,我们以英语和日语为母语的人对这些音节引起的功能磁共振成像(fMRI)活动进行了基于多体素模式的分析。在右原发性听觉皮层中,这些功能磁共振成像模式的统计可分离性预测受试者的行为能力能够区分声音,不仅在群体之间,而且在个体之间。这为识别神经表示形式和量化其任务适用性开辟了一种新方法。

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