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    • 3. 发明申请
    • SYSTEM AND METHOD FOR NEURAL MODELING OF NEUROPHYSIOLOGICAL DATA
    • 神经生理学数据神经建模的系统与方法
    • WO2009069135A2
    • 2009-06-04
    • PCT/IL2008001559
    • 2008-11-30
    • ELMINDA LTDSHAHAF GODEDPINCHUK NOGABEN-BASSAT GUYGEVA AMIRTAUBER ISRAELRECHES AMITKANTER AYELETGORDON URIT
    • SHAHAF GODEDPINCHUK NOGABEN-BASSAT GUYGEVA AMIRTAUBER ISRAELRECHES AMITKANTER AYELETGORDON URIT
    • G16H50/50
    • ABSTRACT Systems and methods for identifying and analyzing neuropsychological flow patterns, include creating a knowledge base of neuropsychological flow patterns. The knowledge base is formed by obtaining signals from multiple research groups for particular behavioral processes, localizing sources of activity participating in the particular behavioral processes, identifying sets of patterns of brain activity for the behavioral processes and neuropsychologically analyzing the localized sources and the identified patterns for each of the research groups. The neuropsychological analysis includes identifying all possible pathways for the identified sets of patterns, ranking the possible pathways based on likelihood for the particular behavioral process and reducing the number of ranked possible pathways based on additional constraints. A system for comparison of obtained signals from an individual to the created knowledge base is provided. These obtained signals are then used to further update the existing knowledge base.
    • 摘要用于识别和分析神经心理流动模式的系统和方法包括创建神经心理流动模式的知识库。 知识库通过从特定行为过程的多个研究组获得信号,定位参与特定行为过程的活动来源,识别行为过程的大脑活动模式集,以及神经心理学分析本地化来源和所识别的模式 每个研究组。 神经心理学分析包括识别所识别的一组模式的所有可能途径,根据特定行为过程的可能性对可能的途径进行排序,并基于额外的约束减少排名可能的途径的数量。 提供了一种用于将获得的信号从个体与所创建的知识库进行比较的系统。 然后使用这些获得的信号来进一步更新现有知识库。