Results 31 to 40 of about 816,396 (376)
Brainstorm: A User-Friendly Application for MEG/EEG Analysis
Computational Intelligence and Neuroscience, 2011 Brainstorm is a collaborative open-source application dedicated to magnetoencephalography (MEG) and electroencephalography (EEG) data visualization and processing, with an emphasis on cortical source estimation techniques and their integration with ...
François Tadel +4 more
semanticscholar +1 more source
Electric dipole moment of the neutron from a flavor changing Higgs-boson
European Physical Journal C: Particles and Fields, 2018 I consider neutron electric dipole moment contributions induced by flavor changing Standard Model Higgs boson couplings to quarks. Such couplings might stem from non-renormalizable $$SU(2)_L \times U(1)_Y$$ SU(2)L×U(1)Y invariant Lagrange terms of ...
Jan O. Eeg
doaj +1 more source
How Policies Affect the Dissemination of Electric Passenger Cars Worldwide
Energies, 2021 Road transportation is one of the largest emitters of greenhouse gas emissions. The EU set the target to reduce overall transport emissions by 60% by 2050 compared to 1990. Electric mobility is considered a proper means to achieve this goal.
Marina Siebenhofer +2 more
doaj +1 more source
New Dipole Penguin Contribution to K --> pi pi decays [PDF]
, 2008 We point out that the standard chromomagnetic penguin dipole operator has a counterpart corresponding to off-shell momenta for external quarks. By employing the chiral quark model, we show that this new dipole penguin operator has the same bosonisation ...
Eeg, Jan O. +2 more
core +4 more sources
MEG and EEG data analysis with MNE-Python
Front. Neuroinform., 2013 Magnetoencephalography and electroencephalography (M/EEG) measure the weak electromagnetic signals generated by neuronal activity in the brain. Using these signals to characterize and locate neural activation in the brain is a challenge that requires ...
Alexandre Gramfort +10 more
semanticscholar +1 more source
bioRxiv, 2022 Automated preprocessing methods are critically needed to process the large publicly-available EEG databases, but the optimal approach remains unknown because we lack data quality metrics to compare them.
A. Delorme
semanticscholar +1 more source
Psychological Medicine, 1980 SYNOPSISPrevious research on meditation and the EEG is described, and findings relating to EEG patterns during meditation are discussed. Comparisons of meditation with other altered states are reviewed and it is concluded that, on the basis of existing EEG evidence, there is some reason for differentiating between meditation and drowsing.
openaire +4 more sources
Contrastive Learning of Subject-Invariant EEG Representations for Cross-Subject Emotion Recognition [PDF]
IEEE Transactions on Affective Computing, 2021 EEG signals have been reported to be informative and reliable for emotion recognition in recent years. However, the inter-subject variability of emotion-related EEG signals still poses a great challenge for the practical applications of EEG-based emotion
Xinke Shen +4 more
semanticscholar +1 more source
Heliyon, 2023 Sustainability indicators should implement the United Nations Sustainable Development Goals (UN SDGs). Indicators in literature often consider large sets of actions and are thus complex in application.
Matthias Maldet +4 more
doaj
Feature extraction from electroencephalograms for Bayesian assessment of newborn brain maturity [PDF]
, 2011 We explored the feature extraction techniques for Bayesian assessment of EEG maturity of newborns in the context that the continuity of EEG is the most important feature for assessment of the brain development.
Jakaite, Livija +2 more
core +1 more source