数值量级的双向调制

Q. Arshad, Y. Nigmatullina, R. Nigmatullin, P. Asavarut, U. Goga, Sarah Khan, Kaija Sander, S. Siddiqui, R. Roberts, R. Cohen Kadosh, A. Bronstein, P. Malhotra
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引用次数: 17

摘要

数字认知对现代生活至关重要;然而,支持人类数值量级分配的精确神经机制仍然不清楚。基于先前的报道,数字分配和空间注意之间存在密切的行为和神经解剖学关系,我们假设这些系统可能受到类似的控制机制,即动态的半球间竞争。我们采用了一种生理模式,结合视觉和前庭刺激,诱导半球间冲突和随后的单半球抑制,经颅直流电刺激(tDCS)证实了这一点。这使我们能够证明第一个系统的数字量级的双向调制向更高或更低的数字,独立于眼动或空间注意介导的偏见。我们将我们的发现和那些最广泛接受的数值认知理论框架结合起来,提出了一个新的统一计算模型,该模型描述了数值大小分配如何受到动态半球间竞争的影响。也就是说,数值分配以基于相对量级的上下文方式不断更新,右半球负责较小的量级,左半球负责较大的量级。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Bidirectional Modulation of Numerical Magnitude
Numerical cognition is critical for modern life; however, the precise neural mechanisms underpinning numerical magnitude allocation in humans remain obscure. Based upon previous reports demonstrating the close behavioral and neuro-anatomical relationship between number allocation and spatial attention, we hypothesized that these systems would be subject to similar control mechanisms, namely dynamic interhemispheric competition. We employed a physiological paradigm, combining visual and vestibular stimulation, to induce interhemispheric conflict and subsequent unihemispheric inhibition, as confirmed by transcranial direct current stimulation (tDCS). This allowed us to demonstrate the first systematic bidirectional modulation of numerical magnitude toward either higher or lower numbers, independently of either eye movements or spatial attention mediated biases. We incorporated both our findings and those from the most widely accepted theoretical framework for numerical cognition to present a novel unifying computational model that describes how numerical magnitude allocation is subject to dynamic interhemispheric competition. That is, numerical allocation is continually updated in a contextual manner based upon relative magnitude, with the right hemisphere responsible for smaller magnitudes and the left hemisphere for larger magnitudes.
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