Neural Prosthesis Uses Brain Activity to Decode Speech
Researchers from HSE University and the Moscow State University of Medicine and Dentistry have developed a machine learning model that can predict the word about to be uttered by a subject based on their neural activity recorded with a small set of minimally invasive electrodes. The paper 'Speech decoding from a small set of spatially segregated minimally invasive intracranial EEG electrodes with a compact and interpretable neural network' has been published in the Journal of Neural Engineering. The research was financed by a grant from the Russian Government as part of the 'Science and Universities' National Project.
COVID-19 Mortality Highest in More Affluent Russian Regions
COVID-19 came as an unexpected challenge for humanity. Countries adopted different, sometimes diametrically opposed approaches to minimising the pandemic's impact: from hard lockdowns to no restrictions at all, as in Sweden. It was only last week that China began to relax its zero-tolerance policy. Researchers of the HSE Faculty of Economic Sciences have identified a few factors which tend to have the greatest impact on the spread of COVID-19—in Russia, such factors include ambient humidity and temperatures, population mobility, the share of internal migrants in the local population, and household incomes. The study findings are published in Population and Economics.