Decoding visual colour from scalp electroencephalography measurements.
Decoding visual colour from scalp electroencephalography measurements.
复制标题
DOI：
10.1016/j.neuroimage.2021.118030
复制
发表时间：
2021-08-15
期刊：
影响因子：
5.7
通讯作者：
Stokes MG
中科院分区：
文献类型：
--
作者：
Hajonides JE;Nobre AC;van Ede F;Stokes MG
最近的进展使得从头皮脑电图测量模式解码视觉呈现刺激的各个方面成为可能。最近，这种多变量方法已被广泛用于解码视觉空间特征，如位置、方向或空间频率。在目前的研究中，我们表明，通过对脑电图活动模式的线性判别分析，也可以跟踪视觉颜色处理。基于最近的其他演示，我们表明颜色解码：(1)反映感官品质（例如，与语言标签相反），主要来自刺激对侧的后电极，(2)符合参数编码空间，(3)在多项目显示中是可能的，(4)在量级上与视觉刺激方向的解码相当。通过对我们的数据进行抽样，我们还提供了鲁棒解码所需的试验和参与者的大致数量的估计。最后，我们表明，虽然颜色解码可以对亮度的细微差异敏感，但我们的颜色解码结果主要是由刺激之间测量的颜色差异驱动的。颜色解码开辟了一个相关的新维度，利用头皮脑电图测量来跟踪视觉处理，同时绕过了与专注于空间特征的解码方法相关的潜在混淆。
Recent advances have made it possible to decode various aspects of visually presented stimuli from patterns of scalp EEG measurements. As of recently, such multivariate methods have been commonly used to decode visual-spatial features such as location, orientation, or spatial frequency. In the current study, we show that it is also possible to track visual colour processing by using Linear Discriminant Analysis on patterns of EEG activity. Building on other recent demonstrations, we show that colour decoding: (1) reflects sensory qualities (as opposed to, for example, verbal labelling) with a prominent contribution from posterior electrodes contralateral to the stimulus, (2) conforms to a parametric coding space, (3) is possible in multi-item displays, and (4) is comparable in magnitude to the decoding of visual stimulus orientation. Through subsampling our data, we also provide an estimate of the approximate number of trials and participants required for robust decoding. Finally, we show that while colour decoding can be sensitive to subtle differences in luminance, our colour decoding results are primarily driven by measured colour differences between stimuli. Colour decoding opens a relevant new dimension in which to track visual processing using scalp EEG measurements, while bypassing potential confounds associated with decoding approaches that focus on spatial features.
登录
查看更多内容
影响因子：
5.7
作者：
Bae GY;Luck SJ
通讯作者：
Luck SJ
影响因子：
8.2
作者：
Foster JJ;Sutterer DW;Serences JT;Vogel EK;Awh E
通讯作者：
Awh E
DOI：
10.1016/s0013-4694(97)00115-6
发表时间：
1998-02-01
期刊：
ELECTROENCEPHALOGRAPHY AND CLINICAL NEUROPHYSIOLOGY
影响因子：
--
作者：
Koles, ZJ
通讯作者：
Koles, ZJ
测试针对助记符模板的感觉证据。
影响因子：
7.7
作者：
Myers NE;Rohenkohl G;Wyart V;Woolrich MW;Nobre AC;Stokes MG
通讯作者：
Stokes MG
影响因子：
--
作者：
Oostenveld R;Fries P;Maris E;Schoffelen JM
通讯作者：
Schoffelen JM