Testing Wiki.js for the BCI Seminar

Let's check formulas in text lines \hat{A} = \Sigma_X W \Sigma_S^{-1} and on separate lines

\mathbf{x}(t) = \mathbf{A} \mathbf{s}(t) + \mathbf{n}(t)

Inserting a picture which was uploaded as asset:

Inserting a picture with an url in the www:

Some List

• A - abc
• G - ghi

Concrete Results

Figure 1 indicates that the most consistent features acrossparticipants are frontal β and γ and parietal γ prior to HF-suppression, although after HF-suppression only frontal β and γ are the most consistent features(although less consistent prior suppression).

Examining the univariate features, shown in Figure 2, the parietal activity above the α band is generally positively correlated with workload level. Besides that, high variabliity exists across participants, which is consistent with Brouwer et al.[^1]. Classical fronto-parietal &alhpa;/θ activations[^2][3][^1] were not consistently observed. This may be due to the interactive, immersive VR design. A study has shown, that VR generated more β/γ activity compared to the real-world in hand illusion experiments[^4] and another study showed that EEG during an VR stepping game had statistically-significant hemispherical differences in the α, β, γ bands[^5].

Spatial vs Spectral Features

Box plots across participants of the Spearman correlation between the spectral amplitude and workload level for each frequency band and bipolar channel, arranged topographically by channel. The title of each subplot indicates the polarity of the bipolar channel. The asterisks (*) indicate the result after HF suppression.