Published in NeuroImage, 2017
How the brain keeps ‘my action’ apart from ‘your action’, probed with brain stimulation.
Recommended citation: Bardi, L., Gheza, D., & Brass, M. (2017). "TPJ-M1 interaction in the control of shared representations: New insights from tDCS and TMS combined." NeuroImage.
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Published in International Journal of Psychophysiology, 2018
Good news and surprising news leave different fingerprints on the EEG.
Recommended citation: Gheza, D., Paul, K., & Pourtois, G. (2018). "Dissociable effects of reward and expectancy during evaluative feedback processing revealed by topographic ERP mapping analysis." International Journal of Psychophysiology.
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Published in NeuroImage, 2018
Winning is nice. Winning and also dodging extra work is nicer. It was a lot of work to show this via analyses of brain’s reward signals, but it still felt nice.
Recommended citation: Gheza, D., De Raedt, R., Baeken, C., & Pourtois, G. (2018). "Integration of reward with cost anticipation during performance monitoring revealed by ERPs and EEG spectral perturbations." NeuroImage, 173, 153–164.
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Published in Cognitive, Affective, & Behavioral Neuroscience, 2019
People with depression could still learn from feedback, but their brains showed signs of lower drive to approach it.
Recommended citation: Gheza, D., Bakic, J., Baeken, C., De Raedt, R., & Pourtois, G. (2019). "Abnormal approach-related motivation but spared reinforcement learning in MDD: Evidence from fronto-midline theta oscillations and frontal alpha asymmetry." Cognitive, Affective, & Behavioral Neuroscience.
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Published in PLOS ONE, 2023
Getting out of a mental chore feels good, unless you are the kind of person who really enjoys thinking.
Recommended citation: Gheza, D., Kool, W., & Pourtois, G. (2023). "Need for cognition moderates the relief of avoiding cognitive effort." PLOS ONE, 18(11), e0287954.
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Published in Conference on Cognitive Computational Neuroscience, 2024
A first look at how the brain represents, and selectively silences, multiple distractors.
Recommended citation: Gheza, D., Zalabak, T. R., & Kool, W. (2024). "Control adaptation through selective suppression of multidimensional distractors." Conference on Cognitive Computational Neuroscience.
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Published in Nature Human Behaviour, 2025
When several things compete for our attention, the brain can keep track of them independently. In our task, the brain keeps a separate record of how much each one has interfered in the past (i.e., how much each bothered you), and uses that to decide how much attention to deploy against it next time.
Recommended citation: Gheza, D., & Kool, W. (2025). "Distractor-specific control adaptation in multidimensional environments." Nature Human Behaviour, 9, 534–553.
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Published in bioRxiv, 2025
When several distractors compete at once, attention to each is adjusted independently, depending on whether it helped or hurt you in the past. EEG shows when: the brain first registers every distractor, then quickly turns each one up or down according to its own track record.
Recommended citation: Gheza, D., Freund, M. C., Zalabak, T. R., & Kool, W. (2025). "Reactive suppression of distractor representations resolves multidimensional interference." bioRxiv. https://doi.org/10.1101/2025.11.16.688701
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Specialization seminar, International Max Planck Research School, Neuroscience programs, 2020
A three-day specialization seminar for neuroscience graduate students.
Workshop, University of Göttingen, Affective Neuroscience and Psychophysiology Laboratory, 2020
A hands-on workshop on wavelet convolution and spectral analysis of EEG data.
Teaching assistant, Washington University in St. Louis, 2022
Teaching assistant for Prof. Wouter Kool’s course for senior undergraduate and graduate students: reinforcement learning, evidence accumulation and connectionist models, with hands-on lab projects.