Neuroscientists from Higher School of Economics and Charité University Clinic in Berlin have come up with a new multivariate method for predicting behavioural response to a stimulus using information about the phase of preceding neuronal oscillations recorded with EEG. The method may eventually find practical application in fields such as competitive sports, education and patient treatment. The study's findings are published in the paper ‘On optimal spatial filtering for the detection of phase coupling in multivariate neural recordings’.
Monday, November 30
ICEF and FES seminar on 'Uncovering the Impacts of Endogenous Liquidity Consumption in Intraday Trading Patterns'
Tuesday, December 1
Seminar on Diversity and Development 'Internal Migration Networks and Mortality in Home Communities'
Master’s Programme 'Master of Data Science': Entrance Exam Preparation