Multisensory oddity detection as bayesian inference.
Multisensory oddity detection as bayesian inference.
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DOI：
10.1371/journal.pone.0004205
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发表时间：
2009
期刊：
影响因子：
3.7
通讯作者：
Vijayakumar S
中科院分区：
文献类型：
--
作者：
Hospedales T;Vijayakumar S
感知系统的一个关键目标是最佳地将来自所有感官的信息联合收割机组合起来，以便形成关于外部世界的最准确和最统一的图像。理想观察者最大似然积分（MLI）的当代理论框架已经非常成功地模拟了人类大脑如何组合来自各种不同感觉模态的信息。然而，在最近的各种实验涉及多感官刺激的不确定的对应关系，MLI打破了作为一个成功的模型的感觉组合。在直接刺激估计的范式内，使用贝叶斯推理来解决对应关系的感知模型最近已被证明成功地推广到MLI失败的情况下。这种方法被称为模型推理、因果推理或结构推理。在本文中，我们研究因果不确定性的另一个重要类别的多感官知觉范式-奇怪的检测，并演示如何贝叶斯理想的观察者也把奇怪的检测作为一个结构推理问题。我们验证了这种方法，表明它为一对重要的多感官奇怪检测实验（涉及跨模态和跨模态内的线索）提供了直观和定量的解释，MLI之前在这方面严重失败，从而实现了对模态内和跨模态多感官知觉的新型统一处理。我们成功地应用结构推理模型的新的“古怪检测”的范例，并由此产生的跨模态和模态内的情况下的统一解释提供了进一步的证据表明，结构推理可能是一个共同的进化原则，在大脑中的感知信息相结合。
A key goal for the perceptual system is to optimally combine information from all the senses that may be available in order to develop the most accurate and unified picture possible of the outside world. The contemporary theoretical framework of ideal observer maximum likelihood integration (MLI) has been highly successful in modelling how the human brain combines information from a variety of different sensory modalities. However, in various recent experiments involving multisensory stimuli of uncertain correspondence, MLI breaks down as a successful model of sensory combination. Within the paradigm of direct stimulus estimation, perceptual models which use Bayesian inference to resolve correspondence have recently been shown to generalize successfully to these cases where MLI fails. This approach has been known variously as model inference, causal inference or structure inference. In this paper, we examine causal uncertainty in another important class of multi-sensory perception paradigm – that of oddity detection and demonstrate how a Bayesian ideal observer also treats oddity detection as a structure inference problem. We validate this approach by showing that it provides an intuitive and quantitative explanation of an important pair of multi-sensory oddity detection experiments – involving cues across and within modalities – for which MLI previously failed dramatically, allowing a novel unifying treatment of within and cross modal multisensory perception. Our successful application of structure inference models to the new ‘oddity detection’ paradigm, and the resultant unified explanation of across and within modality cases provide further evidence to suggest that structure inference may be a commonly evolved principle for combining perceptual information in the brain.
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影响因子：
6.4
作者：
BARSHALOM, Y;TSE, E
通讯作者：
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影响因子：
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作者：
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DOI：
10.1073/pnas.0308394101
发表时间：
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影响因子：
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