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Brain activity prediction device, perceptual cognitive content estimation system, and brain activity prediction method

机译:脑活动预测装置,感知认知含量估计系统和脑活动预测方法

摘要

To provide a brain activity prediction device, a perception recognition content estimation system, and a brain activity prediction method improved in convenience for deducing perception and recognition contents.SOLUTION: A brain activity prediction device 10 comprises: a stimulation feature matrix generation part 121 which generates a first feature vector where an expression to stimulation is projected to a first feature space and generates a first stimulation feature matrix in which the first feature vector is collected in time series; and a brain activity prediction part 124 which, by a regression model with set data of a stimulation feature matrix with respect to the stimulation for learning given to a subject and a brain activity matrix in which the brain activity vector generated on the basis of measurement data provided by measuring the brain activity with respect to the stimulation for the learning is collected in time series, as learning data, on the basis of an encoder learning result provided by learning a projection relation from the first feature space to the brain activity, predicts the brain activity matrix with respect to a new stimulation from the first stimulation feature matrix generated by the feature matrix generation part with respect to the new stimulation.SELECTED DRAWING: Figure 1
机译:为了提供大脑活动预测装置,感知识别内容估计系统和大脑活动预测方法在方便地提高了感知和识别内容。脑活动预测装置10包括:产生的刺激特征矩阵生成部分121第一特征向量,其中刺激的表达式被投射到第一特征空间,并产生第一刺激特征矩阵,其中在时间序列中收集第一特征向量;和一个大脑活动预测部分124,其通过回归模型,其中具有刺激特征矩阵的数据的数据,相对于刺激用于学习的刺激和脑活动矩阵,其中基于测量数据生成的大脑活动矢量通过测量关于学习的刺激的大脑活动来在时间序列中收集大脑活动,作为学习数据,基于通过从第一特征空间与大脑活动中的投影关系提供的编码器学习结果,预测脑活动矩阵相对于来自特征矩阵生成部分产生的第一个刺激特征矩阵的新刺激相对于新刺激产生。选择图:图1

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