Supramodal processing of discrete quantity information in humans

人类离散量信息的超模态处理

• 批准号: 242924585
• 负责人: Dr. Bernhard Spitzer
• 金额: --
• 依托单位: Forschungsgruppe Adaptive Gedächtnis- und Entscheidungsprozesse
• 依托单位国家: 德国
• 项目类别: Research Grants
• 财政年份: 2013
• 资助国家: 德国
• 起止时间: 2012-12-31 至 2015-12-31
• 项目状态: 已结题
• 来源: https://gepris.dfg.de/gepris/projekt/242924585?language=en
• 关键词: Supramodal; processing; discrete; quantity; information

Previous work has identified a modality-independent neural signature of analogue quantity processing in humans, in terms of parametric modulations of large-scale oscillatory EEG activity. Independently, in previous monkey work, a supramodal representation of discrete quantity (i.e., numerosities) has been reported, however leaving open to what extent discrete quantity processing may also involve large-scale brain oscillations. Here, a series of human EEG studies is designed to investigate the encoding, memorizing, and comparison of discrete quantity information in the visual, auditory, and tactile modalities. In addition to conventional time-frequency analyses, a novel analysis approach based on convolution modeling will be employed to examine the online integration of discrete sensory evidence into abstract quantity information. The analyses, within and across different sensory modalities, are expected to yield elementary insights into the large-scale oscillatory mechanisms that may underly the abstract processing of discrete quantity in everyday human cognition.

以前的工作已经确定了一个模态独立的神经签名的模拟量处理在人类中，在大规模的振荡EEG活动的参数调制。独立地，在以前的猴子工作中，离散量的超模态表示（即，数字）已被报道，但离散量处理在多大程度上也可能涉及大规模大脑振荡仍悬而未决。在这里，一系列的人类脑电研究的目的是调查的编码，记忆和比较的离散量信息的视觉，听觉和触觉的方式。除了传统的时间-频率分析，一种新的分析方法，基于卷积建模将审查在线集成的离散感官证据到抽象的数量信息。分析，内部和跨不同的感官形式，预计产生基本的见解，大规模的振荡机制，可能是基础的抽象处理离散量在日常人类认知。

项目成果

Parametric Alpha- and Beta-Band Signatures of Supramodal Numerosity Information in Human Working Memory

• DOI: 10.1523/jneurosci.4580-13.2014
• 发表时间: 2014-03
• 期刊: The Journal of Neuroscience
• 作者: B. Spitzer;S. Fleck;F. Blankenburg

Rhythmic gain control during supramodal integration of approximate number

近似数超模态积分期间的节律增益控制

• DOI: 10.1016/j.neuroimage.2015.12.024
• 发表时间: 2016
• 期刊: NeuroImage
• 影响因子: 5.7
• 作者: Spitzer;Blankenburg;Summerfield
• 通讯作者: Summerfield