EEG and MEG Time Functions Are the Same

Are Loss Functions All the Same?

In this letter, we investigate the impact of choosing different loss functions from the viewpoint of statistical learning theory. We introduce a convexity assumption, which is met by all loss functions commonly used in the literature, and study how the bound on the estimation error changes with the loss. We also derive a general result on the minimizer of the expected risk for a convex loss fun...

EEG/MEG Signal Processing

Since its invention by the Hans Berger of the electroencepha-lography (EEG) in 1929, it was a strong scientific curiosity in analysis of human brain activity. In fact, the electroen-cephalography (EEG) and magnetoencephalography (MEG) have developed into one of the most important and widely used quantitative diagnostic tools in analysis of brain signals and patterns. EEG and MEG potentially con...

Probleme Inverse Meg / Eeg

Testing the determinism of EEG and MEG.

NEURAL MASS ACTIVITY produces irregular time series such as the EEG and MEG. It is already apparent, through visual inspection, that these time series cannot simply result ...J from an uncoordinated arbitrary firing of neurons. Indeed, we expect that neurons must cooperate and partially synchronize their firing patterns in order to produce meaningful output. Although we may believe that we have...

EEG and MEG: Relevance to Neuroscience

To understand dynamic cognitive processes, the high time resolution of EEG/MEG is invaluable. EEG/MEG signals can play an important role in providing measures of functional and effective connectivity in the brain. After a brief description of the foundations and basic methodological aspects of EEG/MEG signals, the relevance of the signals to obtain novel insights into the neuronal mechanisms un...