… three hyperparameters of each optimizing parameter, we first … To study the EEG data, we
have used a 3D SNNc of 1471 … and with the highest accuracy, sensitivity and specificity over all. …

… Is the face-sensitive N170 the only ERP not affected by selective attention? Neuroreport, 11,
… Event-related brain potentials distinguish processing stages involved in face perception and …

… findings of emotional processing, face perception and the mirror … (SQUIDs), a highly sensitive
amplifier, inside a magnetically … of the noise subspace and eliminate from the MEG/EEG …

… spikes and transients in electroencephalograph signals and … location parameter and QW
an additive white Gaussian noise … the algorithm very sensitive to errors while performing the …

… differences in the electroencephalographic (EEG) signals … quality of microphone and is
sensitive to background noise. … as poor illumination in face recognition system will reduce the …

… 摘要(英) In our daily lives, working memory (WM) has played a very important role during
working or learning. So many studies have focused on WM capability assessment and training …

… ongoing background EEG treated as a zero-mean noise, we … regularization parameter : The
regularization parameter … filter is sensitive to the parameters selected during the construction …

… In this study four different physiological signals including EEG, EGG, EKG and GSR were …
conductance response on the back of neck is more sensitive than that on the finger tips in our …

… inappropriate regularization parameter of … sensitive devices such as superconducting
quantum interference devices (SQUIDs) which has higher signal-to-noise ratio (SNR) than EEG. …

… In order to resolve the non-stationarity of SaEn in EEG to improve the sensitivity, an …
134-136 According to the marginal spectrum in this study, the EEG signal recorded from the …