In this study, we propound a data-driven and robust automatic sleep staging scheme that uses single channel EEG signal. Decomposing the EEG signal segments using Empirical Mode Decomposition (EMD), we extract various statistical moment based features. The effectiveness of statistical features in the ...
Seizure evolution is typically a dynamic and non stationary process and the EEG signals are composed of many frequency bands. The objective of this work was to determine features that differentiated epileptic seizure from a normal activity. Subjects suffering from a commonly occurring generalized ...
aim of this statistical process is to corroborate the claim that the CGA method is more efficient than the RBF network at correctly classifying EEG vectors and to verify the results of our previous studies, which showed that the EEGs of an individual carry common, specific, "genetic" features...
To answer this question we carried out a statistical learning study using electroencephalography (EEG). In a continuous auditory stream of sound triplets the deviations were either (a) statistical, in terms of transitional probability, (b) physical, due to a change in sound location (left or ...
It is an extended version of work presented in a blog post published over a year ago. Although the focus is on MEG/EEG timing estimation, the conclusions and the main points about statistical issues apply broadly to brain imaging and many other scientific endeavours. As the article is open ...
My lab focuses on statistical modeling of neural signals at different spatial scales: spikes, LFP, ECoG, and EEG/MEG. Propagation of electrical and magnetic fields in the brain depends on both static anatomical features and state-dependent dynamical features like coherence, neuromodulation, and ...
spm_eeg_invert_ui.m spm_eeg_invertiter.m spm_eeg_lapmtx.m spm_eeg_layout3D.m spm_eeg_lgainmat.m spm_eeg_load.m spm_eeg_locate_channels.m spm_eeg_mask.m spm_eeg_mask2channels.m spm_eeg_merge.m spm_eeg_meshnative2mni.m spm_eeg_modality_ui.m spm_eeg_montage...
attention, the experimental design needs to incorporate multi-item arrays such that the object that contains the regularity no longer pops out in the scene. By contrast, goal-directed top-down attention describes how the attentional system selects task-relevant features and orients attention towards...
in epileptology which might open the way for new therapies to control and prevent epileptic attacks. With this goal in mind, we applied the extreme event theory for studying statistical properties of electroencephalographic (EEG) recordings of WAG/Rij rats with genetic predisposition to absence ...
EEG was recorded in 22 adults who viewed words inserted every 5 stimuli (at 2 Hz) within base stimuli presented at 10 Hz. Using two discrimination levels (deviant words among nonwords or pseudowords), we assessed the impact of relative frequency of item repetition (set size or item ...