图 书 馆
多模态神经影像的机器学习Machine Learning for Multimodal Neuroimaging |
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| 课程网址: | http://videolectures.net/bbci2014_biessmann_machine_learning/ |
| 主讲教师: | Felix Bießmann |
| 开课单位: | 德国柏林工业大学 |
| 开课时间: | 2014-04-03 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | The combination of multiple neuroimaging modalities has become an important field of research. While the technical challenges associated with multimodal neuroimaging have been mastered more than a decade ago, analysis techniques for multimodal neuroimaging data are still being developed. This tutorial will cover data driven analysis techniques for multimodal neuroimaging, including recent advances in multimodal brain-computer-interfaces and in integration of neural bandpower signals with hemodynamic signals. A special focus will be placed on simple and efficient subspace methods that are useful in all stages of multimodal neuroimaging analyses, starting from basic preprocessing and artifact removal to integration of multiple modalities with complex spatiotemporal coupling dynamics. |
| 关 键 词: | 神经; 机器学习; 药物 |
| 课程来源: | 视频讲座网 |
| 数据采集: | 2020-12-14：yxd |
| 最后编审: | 2020-12-14：yxd |
| 阅读次数: | 76 |