Rewiring automatic, habit-like behaviors is undoubtedly one of the most important scientific challenges today. Beyond its basic scientific significance of understanding brain plasticity, it has important implications for the health sciences aiming to overcome harmful behaviors such as addictions and obsessive-compulsive behaviors, and training programs targeting the improvement of automatic behaviors, including skills involved in as cello or piano playing, sports, or communication.
Typical and atypical development of implicit and explicit learning processes
The effect of non-invasive brain stimulation (TMS, tACS, tDCS) on implicit statistical learning
Statistical learning in Tourette’s syndrome
Sleep, learning, and memory
Functional brain connectivity during statistical learning
Investigating learning by ERPs
If you are interested to join the BML team, please send an email to Dezso Nemeth and the research assistants including your CV and a short description of your interests, aims and skills.
Designed and realized by Teodóra Vékony