In this paper our goal was to explicitly compare the networks obtained from a first-level ICA (ICA on the spatio-temporal functional magnetic resonance imaging (fMRI) data) to those from a second-level ICA (i.e., ICA on computed features rather than on the first-level fMRI data). ...
Recently, CNN-based methods that are fed with hand-extracted EEG features have steadily improved their performance on the emotion recognition task. In this paper, we propose a novel convolutional layer, called the Scaling Layer, which can adaptively extract effective data-driven spectrogram-like ...
Despite its merits, this technique has also important limitations, which the present method addresses. First, the present method deals with the variability of the impulse responses in terms of latency and intensity, across individuals and across stimulation features (e.g. luminance versus arousal). ...
combined with its high spatial and temporal resolution, presents certain unique opportunities. Recent research has demonstrated the potential of conducting sub-second image reconstructions with TB-PET/CT, closely mirroring the temporal resolution achieved by functional Magnetic Resonance Imaging (fMRI) [55]...