This project focuses on the development of a close-loop EEG system to improve language comprehension in the general population and in people with learning disabilities, ie dyslexic readers. The system will be able to measure the alignment between EEG and speech signals, what we call Cortical Tracking of Speech (CTS). Previous studies in our group showed that the CTS is an indicator of the linguistic abilities of individuals. The system includes algorithms that constantly and automatically analyze the EEG signal to detect changes in the CTS pattern in order to realign brain activity with that of the linguistic signal. The proposal is very novel, since currently there are no systems available to improve linguistic competence based on a direct and non-invasive intervention on a brain index. In addition, it is intended to develop a prototype of portable EEG acquisition equipment (sensors and amplifier). Finally, the evaluation of the procedure in children, adults and the elderly, as well as in dyslexics.
We are looking for a technical profile with an interest in research and neuroscience. We are looking for an engineer (ie, Telecommunications or bioengineering) with programming skills (matlab or python) that will help us developing and implementing the close-loop system. You will assemble the close-loop system and develop the algorithms to calculate the CTS online. You will also collect EEG data in the lab to test whether or not the system improves linguistic abilities. You will learn to analyze EEG data and to write research papers.
Application deadline: December 23, 2022