刺激驱动的BCI的新方法和应用领域New Methods and Application Domains for Stimulus Driven BCI's |
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课程网址: | http://videolectures.net/bbci2012_desain_stimulus_driven_bci/ |
主讲教师: | Peter Desain |
开课单位: | 拉德堡德大学 |
开课时间: | 2012-12-03 |
课程语种: | 英语 |
中文简介: | 以脑电图为基础的脑机接口自出现以来已经相当成熟。然而,其中一个核心方面——他们的网络个性——似乎仍未得到充分利用。这方面考虑到一个更优的刺激选择,我们将解释这可以用于著名的(拼写)BCI,并可以提高他们的性能。当刺激和响应空间非常大时,就像在不太常见的BCI中那样,这种方法就变得非常重要。脑电图标记物可靠检测的另一个需要更深入应用的领域是可塑性和训练。虽然对精神状态特征的一般神经反馈似乎仍不能证明持久的认知或行为变化,但对刺激处理的反馈可能有助于更有效地训练各种知觉技能。我们将解释我们是如何研究这种方法的第二语言学习。 |
课程简介: | EEG based Brain Computer Interfaces have matured considerably since their first appearance. However, one central aspect, their online character, still seems underexploited. This aspect allows for a more optimal stimulus selection and we will explain how this can be used for well-known (speller) BCI's and can increase their performance. When the stimulus and response space is very large, as it is in less common (word-probing) BCI's this approach becomes essential. Another domain in which our knowledge on reliable detection of EEG markers still needs be applied more thorough is plasticity and training. While general neuro-feedback on features of the mental state still seems unable to demonstrate lasting cognitive or behavioral changes, feedback on the processing of stimuli may allow for more efficient training of a whole range of perceptual skills. We will explain how we are investigating this approach for second language learning. |
关 键 词: | 脑电图; 脑计算机; 第二语言学习方法 |
课程来源: | 视频讲座网 |
最后编审: | 2019-10-21:chenxin |
阅读次数: | 42 |