Judit Pekár

Judit studied Psychology at the University of Szeged in Hungary for her Bachelor's degree, followed by a Master's degree in Social, Cognitive and Affective Neuroscience at Freie Universität Berlin. She completed her doctoral studies in Psychology, investigating the interaction of discrete and continuous magnitudes in (non-symbolic) number processing. In September 2024 she joined the research group "FOR 5429: Modulation of brain networks for memory and learning by transcranial electrical brain stimulation: A systematic, lifespan approach" and is currently working in project P8 "Enhancing value-based learning by focalized tDCS" at the Chair of Lifespan Developmental Neuroscience at TU Dresden.

Learning in different contexts, such as:

• Value-based learning and decision-making
• Perceptual learning
• Implicit learning
• Motor sequence learning

Numerical cognition

Methods: fMRI, EEG, behavioral approaches

Hofmann, W., Kinder, A., & Pekár, J. (2024). How learning influences non-symbolic numerical processing: Effects of feedback in the dot comparison task. Frontiers in Psychology, 14, 1287429. https://doi.org/10.3389/fpsyg.2023.1287429

Pekár, J., Hofmann, W., Knakker, B., Tamm, S., & Kinder, A. (2023). Electrophysiological correlates of the interaction of physical and numerical size in symbolic number processing: Insights from a novel go/nogo numerical stroop task. Brain Sciences, 13(5), 702. https://doi.org/10.3390/brainsci13050702

Pekár, J., & Kinder, A. (2020). The interplay between non-symbolic number and its continuous visual properties revisited: Effects of mixing trials of different types. Quarterly Journal of Experimental Psychology, 73(5), 698–710. https://doi.org/10.1177/1747021819891068

Hallgató, E., Győri-Dani, D., Pekár, J., Janacsek, K., & Németh, D. (2013). The differential consolidation of perceptual and motor learning in skill acquisition. Cortex, 49(4), 1073-1081. https://doi.org/10.1016/j.cortex.2012.01.002