Multisensory causal inference in the brain.

Multisensory causal inference in the brain.
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DOI:
10.1371/journal.pbio.1002075
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发表时间:
2015-02
期刊:
影响因子:
9.8
通讯作者:
Shams L
Shams L
中科院分区:
生物学1区
文献类型:
--
作者:
Kayser C;Shams L

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在任何给定的时刻,我们的大脑都会处理来自其不同感觉模式(视觉、听觉、触觉等)的多个输入。在破译这一系列感觉信息时,大脑必须解决两个问题:(1)哪些输入来自同一对象,应该被整合;(2)对于来自同一对象的感觉,如何最好地整合它们。最近的行为学研究表明,人脑使用最优的概率推理,即贝叶斯因果推理来解决这些问题。然而,大脑中潜在的计算是如何以及在哪里进行的仍然是未知的。通过结合基于神经成像的解码技术和行为数据的计算模型,一项新的研究现在揭示了多感觉因果推理如何映射到特定的大脑区域。结果表明,神经计算的复杂性沿着视觉层次增加,并将因果推理过程的特定成分与特定的视觉和顶叶区域联系起来。我们的大脑是如何组织和合并多感官信息的?一项新的研究通过将神经成像和计算建模相结合,定位了感觉融合和因果推理的大脑区域。
At any given moment, our brain processes multiple inputs from its different sensory modalities (vision, hearing, touch, etc.). In deciphering this array of sensory information, the brain has to solve two problems: (1) which of the inputs originate from the same object and should be integrated and (2) for the sensations originating from the same object, how best to integrate them. Recent behavioural studies suggest that the human brain solves these problems using optimal probabilistic inference, known as Bayesian causal inference. However, how and where the underlying computations are carried out in the brain have remained unknown. By combining neuroimaging-based decoding techniques and computational modelling of behavioural data, a new study now sheds light on how multisensory causal inference maps onto specific brain areas. The results suggest that the complexity of neural computations increases along the visual hierarchy and link specific components of the causal inference process with specific visual and parietal regions. How does our brain organize and merge multisensory information? A new study localizes the brain regions underlying sensory fusion and causal inference by combining neuroimaging and computational modelling.
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