Mismatch negativity for visuo-tactile inconsistency in rubber hand illusion paradigm
Mismatch negativity for visuo-tactile inconsistency in rubber hand illusion paradigm
复制标题
橡胶手错觉范式中视觉触觉不一致的失配负性
DOI：
10.1145/3396339.3396391
复制
发表时间：
2020
期刊：
影响因子：
--
通讯作者：
Taro Maeda
中科院分区：
文献类型：
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作者：
Hiroki Miyamoto;Akiyoshi Hara;Masahiro Furukawa;Hideyuki Ando;Taro Maeda
人体图式具有先天特征，已知它会通过生长和损伤过程发生变化，从而使其具有可变性。在人体功能增强技术中，有许多尝试将肢体作为感知能力和效应器来增强或增强。然而，允许增强身体部位所有权意识的方法尚不清楚。因此，我们认为，在橡胶手错觉（RHI）范式中，神经反馈可以在适应视觉和触觉刺激的一致性或不一致性的过程中增强归属感。我们将重点放在失配负性（MMN）神经反馈学习上。基于mmn的学习已被证明对潜意识学习是有效的。在本文中，我们认为RHI是一种有意识的自适应学习，并且认为MMN可以以同样的方式接近它。然而，为了将MMNs用于RHI，有必要将多模态不一致性作为EEG测量的响应作为次要线索，而不是将感觉刺激预测的不一致性作为主要线索。在本文中，我们评估了MMN对RHI范式中出现所有权感的额外身体的视觉-触觉刺激。它能检测到仅由感官差异引起的mmn。并且我们检测出仅由多模态不一致引起的MMN。
The human body schema has innate characteristics, it is known to change through the process of growth and injury, thus making it mutable. And there have been many attempts to augment or enhance limbs as perceptual abilities and effectors in body function augmentation technology. However, the methodology that allows for a stronger sense of ownership for augmented body parts was unclear. Therefore, we considered that, in the rubber hand illusion (RHI) paradigm, neurofeedback could enhance the sense of ownership in the process of adapting to the consistency or inconsistency between visual and tactile stimuli. And we focused our attention on neurofeedback learning by mismatch negativity (MMN). MMN-based learning has been shown to be effective for subconscious learning. In this paper, we consider RHI as conscious adaptive learning, and consider that it can be approached by MMN in the same way. However, in order to use MMNs for RHI, it is necessary to detect the respons as EEG measurements for multimodal inconsistency as the secondary clue rather than the inconsistency of sensory stimulus prediction as primary clue. In this paper, we evaluate the MMN for the visual-tactile stimuli of the extra body in which the sense of ownership occurs in the RHI paradigm. It detects MMNs that are only caused by discrepancies between the senses. And we detect MMN that are only caused by inconsistency between multimodal.