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’.
Wednesday, November 25
'Post-Covid World. The Future is Now' Series: 'Well-being in Times When Everything Goes Not As It Was Planned'
Thursday, November 26
Vladimir Apanovich to speak on 'The Role of Inter- and Intracultural Mental Variations'
Department of Applied Economics seminar on 'The Structure of Multinational Sales under Demand Risk'
Alexander Myasnikov to speak on 'Regional Asymmetry of the Effects of Monetary Policy: A Spatial Econometric Approach'
CInSt Research Seminar 'Hunting for the Discouragement Effect in Contests'