Munich Center for NeuroSciences - Brain and Mind
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Melissa Lê-Hoa Võ

Prof. Dr. Melissa Lê-Hoa Võ

GSN full member, MCN regular member

Responsibilities

Chair of Neurocognitive Psychology

Contact

LMU Munich, Department of Psychology, Neuro-Cognitive Psychology


Website: https://www.lmu.de/psy/en/chairs/neuro-cognitive-psychology
Website: https://www.scenegrammarlab.com

Further Information

Keywords:
Visual Cognition, Attention, Visual Search, Object and Scene Perception, Memory

Research methods:
Psychophysics EyeTracking mobile EyeTracking Virtual Reality EEG fMRI/MEG

Brief research description:
The Scene Grammar Lab explores numerous facets of visual cognition, with a strong focus on visual attention, perception and memory in the context of scene perception. Consequently, the lab’s primary research domains encompass top-down guidance during scene searches, the neural representation and evolution of scene knowledge, and the interplay between action and perception in real-life situations.

Selected publications:
Gregorová, K., Turini, J., Gagl, B., & Võ, M. L.-H. (2023). Access to meaning from visual input: Object and word frequency effects in categorization behavior. Journal of Experimental Psychology: General, 152(10), 2861–2881. https://doi.org/10.1037/xge0001342

Helbing* J, Draschkow* D, Võ MLH1,4,5 (2022). Auxiliary scene-context information provided by anchor objects guides attention and locomotion in natural search behavior. Psychological Science, 33(9), 1463-1476. DOI: 10.1177/09567976221091838

Võ, M. L.-H., Boettcher, S. E., & Draschkow, D. (2019). Reading scenes: How scene grammar guides attention and aids perception in real-world environments. Current Opinion in Psychology, 29, 205-210. https://doi.org/10.1016/j.copsyc.2019.03.009

Võ MLH1,2,3,4,5, Wolfe JM (2013). Differential ERP Signatures Elicited by Semantic and Syntactic Processing in Scenes. Psychological Science, 24(9), 1816–1823. DOI: 10.1177/0956797613476955

Wolfe JM, Võ MLH1,5, Evans KK, Greene MR (2011). Visual search in scenes involves selective and non-selective pathways. Trends in Cognitive Sciences, 15(2), 77-84. DOI: 10.1016/j.tics.2010.12.001