The main focus of our cognitive neuroscience research team is to investigate learning, memory, and consolidation processes underlying habit-like behaviors. Our studies benefit from the approach of lifespan development and neuropsychology.
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
My research project investigates the neurocognitive correlates of acquiring probabilistic sequential regularities. I apply various methods (behavioral, ERP, and fMRI experiments) to track how acquisition occurs during a simple statistical-sequence learning task (Alternating Serial Reaction Time Task) and another decision-making task that includes motivationally significant events (Balloon Analogue Risk Task). The results could contribute to the refinement of the neurocognitive models of behavior adaptation and sequential decision making.
Keywords: behavior adaptation, implicit/explicit statistical-sequence learning, ERPs, fMRI