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Distributed neural representation of saliency controlled value and category during anticipation of rewards and punishments

机译:预期奖惩中的显着性控制值和类别的分布式神经表示

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摘要

An extensive literature from cognitive neuroscience examines the neural representation of value, but interpretations of these existing results are often complicated by the potential confound of saliency. At the same time, recent attempts to dissociate neural signals of value and saliency have not addressed their relationship with category information. Using a multi-category valuation task that incorporates rewards and punishments of different nature, we identify distributed neural representation of value, saliency, and category during outcome anticipation. Moreover, we reveal category encoding in multi-voxel blood-oxygen-level-dependent activity patterns of the vmPFC and the striatum that coexist with value signals. These results help clarify ambiguities regarding value and saliency encoding in the human brain and their category independence, lending strong support to the neural “common currency” hypothesis. Our results also point to potential novel mechanisms of integrating multiple aspects of decision-related information.
机译:来自认知神经科学的大量文献研究了价值的神经表示,但是对这些现有结果的解释通常因显着性的潜在混淆而变得复杂。同时,最近分离价值和显着性神经信号的尝试还没有解决它们与类别信息的关系。使用包含不同性质的奖励和惩罚的多类别评估任务,我们可以在预期结果期间识别价值,显着性和类别的分布式神经表示。此外,我们揭示了vmPFC和与值信号共存的纹状体的多体素血氧水平依赖性活动模式中的类别编码。这些结果有助于澄清关于人脑中的值和显着性编码及其类别独立性的歧义,从而为神经“通用货币”假说提供了有力的支持。我们的结果还指出了整合决策相关信息的多个方面的潜在新颖机制。

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