Dr Darinka Trübutschek (D.)
Research profile
I am a cognitive neuroscientist driven by a central question: how does the brain turn fleeting sensory inputs into meaningful, memorable experiences—and why do those experiences sometimes differ so profoundly between individuals? My research sits at the intersection of perception, memory, and consciousness, with a particular interest in how past experiences subtly, and often unconsciously, shape what we see and remember.
What sets my work apart is its emphasis on subjective experience—not just what the brain encodes, but how that encoding feels from the inside, and how it changes over time. I aim to bridge moment-to-moment neural dynamics with broader cognitive functions like learning, attention, and decision-making, using high-temporal-resolution methods (iEEG, EEG, MEG) and machine learning approaches.
In the long term, I hope to build a theory of perception–memory interactions that is mechanistically grounded, empirically testable, and relevant to real-world cognition—from the spread of misinformation to the nature of conscious thought.
Key publications
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Trübutschek, D., Marti, S., Ojeda, A., King, J.-R., Mi, Y., Tsodyks, M., & Dehaene, S. (2017). A theory of working memory without consciousness or sustained activity. Elife, 6. https://doi.org/10.7554/eLife.23871More information about this publication
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Trübutschek, D., Marti, S., Ueberschär, H., & Dehaene, S. (2019). Probing the limits of activity-silent non-conscious working memory. Proceedings of the National Academy of Sciences of the United States of America, 116(28), 14358-14367. https://doi.org/10.1073/pnas.1820730116More information about this publication
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Trübutschek, D., & Melloni, L. (2023). Stable perceptual phenotype of the magnitude of history biases even in the face of global task complexity. Journal of Vision, 23(8), Article 4. https://doi.org/10.1167/jov.23.8.4More information about this publication
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Trübutschek, D., Yang, Y.-F., Gianelli, C., Cesnaite, E., Fischer, N. L., Vinding, M. C., Marshall, T. R., Algermissen, J., Pascarella, A., Puoliväli, T., Vitale, A., Busch, N. A., & Nilsonne, G. (2024). EEGManyPipelines: A Large-scale, Grassroots Multi-analyst Study of Electroencephalography Analysis Practices in the Wild. Journal of cognitive neuroscience, 36(2), 217-224. https://doi.org/10.1162/jocn_a_02087More information about this publication