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closed loop , by feeding back the decisions into the processes when their criticality allows such unsupervised behavior. Conventional machine learning models suffer from significant limitations in both
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Advanced Grant project FLOW. This project investigates the functional roles of brain oscillations for human cognition (attention, memory, cognitive control), explores how brain and body rhythms interact
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Human cognition is highly adaptive and can reason flexibly with new information. A crucial element for this is our working memory: a quick, reliable, and flexible system to maintain information
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(attention, memory, cognitive control), explores how brain and body rhythms interact to enable flexible cognition, and tests how rhythmic non-invasive neuromodulation can modulate cognition performances. We
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the supervisory team. You will conduct independent and original academic research and report results via peer-reviewed publications, conference presentations, and ultimately a PhD dissertation. The PhD thesis is to
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candidate, you will develop your own research project in consultation with the supervisory team. You will conduct independent and original academic research and report results via peer-reviewed publications