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预言fMRI血氧水平依赖响应的信息处理模型
An information-processing model of predicting the blood oxygenation level-dependent response of functional MRI
【Author】 YAN Fen, YU Qing-bao, FENG Shi-gang, TANG Yi-yuan ( Institute of Neuroinformatics. Dalian University of Technology, Dalian 116023, China; Laboratory of Brain and Cognitive Science, Institute of Biophysics, the Chinese Academy of Science, Beijing 100101, China)
【机构】 大连理工大学神经信息学研究所;
【摘要】 本文引入了基于推理思维的自适应控制(ACT-R)理论发展的一个信息处理模型,这个认知模型能够预言在符号处理任务中功能磁共振成像(fMRI)血氧水平依赖(BOLD)响应。作者经过细致的考虑,设计了既满足要求又对信息处理模型有创新的实验,并对其进行验证。结果显示:该信息处理模型不仅适应于代数方程式的转换,而且适应于代数不等式的比较。
【Abstract】 Predicting the blood oxygenation level-dependent (BOLD) response of functional MRI, researchers have developed an information-processing model based on adaptive control of thought-rational (ACT-R). This paper introduces an ACT-R model and demonstrates it. The result indicates that ACT-R information- processing model not only meets transformations on equations in an artificial algebra system, but also adapts well to comparisons of the algebra inequality.
【Key words】 Functional Magnetic Resonance Imaging; An information-processing model; ACT-R; Response of BOLD;
- 【会议录名称】 大连理工大学生物医学工程学术论文集(第2卷)
- 【会议名称】大连理工大学生物医学工程学会研讨会
- 【会议时间】2005-12
- 【会议地点】中国辽宁大连
- 【分类号】R318
- 【主办单位】大连理工大学