计算机科学
功能磁共振成像
概率逻辑
大脑活动与冥想
统计模型
人工智能
任务(项目管理)
机器学习
神经科学
心理学
脑电图
管理
经济
标识
DOI:10.1007/978-3-642-24955-6_40
摘要
Functional magnetic resonance imaging (fMRI) has provided an invaluable method of investing real time neuron activities. Statistical tools have been developed to recognise the mental state from a batch of fMRI observations over a period.However, an interesting question is whether it is possible to estimate the real time mental states at each moment during the fMRI observation. In this paper, we address this problem by building a probabilistic model of the brain activity. We model the tempo-spatial relations among the hidden high-level mental states and observable low-level neuron activities. We verify our model by experiments on practical fMRI data. The model also implies interesting clues on the task-responsible regions in the brain.
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