图 书 馆
信息脑思维特征空间Informative Brain-Mind Feature Space |
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| 课程网址: | http://videolectures.net/bbci2012_cohen_feature_space/ |
| 主讲教师: | Mark Cohen |
| 开课单位: | 加州大学洛杉矶分校 |
| 开课时间: | 信息不详。欢迎您在右侧留言补充。 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | A wide variety of brain-derived signals presently are available to drive brain computer interface devices. These include the popular EEG recordings, magnetoencephalography, functional magnetic resonance imaging (fMRI), near-infrared spectroscopy and others. Each are known to be quantitatively altered by intentional mental activity and, with the power provided by statistical machine learning, each to varying degrees may be decoded to the end of controlling devices. I will speak to the question of the reverse challenge of understanding better the operations of the brain through analysis of the control signals and argue that careful selection of the features themselves might serve the dual purposes of improving the efficiency and accuracy of the brain-computer interface, and serve to improve our understanding of the underlying neurophysiology. The discussion will focus on the use of brain network features exposed through fMRI and on understanding the temporal dynamics of the individual features and their state transitions. |
| 关 键 词: | 信息; 脑思维; 特征; 空间 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2020-06-06：刘家豪(课程编辑志愿者) |
| 阅读次数: | 83 |