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SYSTEM AND METHOD FOR NEURAL MODELING OF NEUROPHYSIOLOGICAL DATA

机译:神经生理学数据神经建模的系统和方法

摘要

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.
机译: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。知识库是通过从多个研究小组获取有关特定行为过程的信号,定位参与特定行为过程的活动的来源,识别行为过程的大脑活动模式集以及通过神经心理学分析本地化来源和所识别出的模式而形成的每个研究小组。神经心理学分析包括为已识别的模式集识别所有可能的途径,根据特定行为过程的可能性对可能的途径进行排名,并根据其他约束条件减少排名的可能途径的数量。提供了一种用于比较从个人获得的信号与所创建的知识库的系统。然后,将这些获得的信号用于进一步更新现有知识库。

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