Donders Institute for Brain, Cognition and Behaviour, Radboud University Nijmegen, Nijmegen, The Netherlands.
Neuroimage. 2011 Aug 1;57(3):950-7. doi: 10.1016/j.neuroimage.2011.05.020. Epub 2011 May 13.
Decoding of perceptual and mental states using multivariate analysis methods has received much recent attention. It relies on selective responses to experimental conditions in single trials, aggregated across voxels. In this study, we show that decoding is also possible when the state of interest changes continuously over time. It is shown that both orientation and rotation direction of a continuously rotating grating can be decoded with high accuracy using linear dynamical systems and hidden Markov models. These findings extend the decoding results for static gratings and are of importance in the decoding of ongoing changes in mental state.
使用多元分析方法对感知和心理状态进行解码最近受到了广泛关注。它依赖于在单个试验中对实验条件的选择性反应，这些反应在体素上进行了聚合。在这项研究中，我们表明，当感兴趣的状态随时间连续变化时，也可以进行解码。研究表明，使用线性动力系统和隐马尔可夫模型，可以非常准确地解码连续旋转光栅的方向和旋转方向。这些发现扩展了对静态光栅的解码结果，对于解码心理状态的持续变化具有重要意义。
