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Zehn ausgewählte Publikationen
- Nara S, Kaiser D (2024).
Integrative processing in artificial and biological vision predicts the perceived beauty of natural images.
Science Advances 10: eadi9294.
DOI: 10.1126/sciadv.adi9294
- Wang G*, Foxwell MJ*, Cichy RM, Pitcher D, Kaiser D (2024).
Individual differences in internal models explain idiosyncrasies in scene perception.
Cognition 245: 105723.
DOI: 10.1016/j.cognition.2024.105723
- Chen L, Cichy RM*, Kaiser D* (2023).
Alpha-frequency feedback to early visual cortex orchestrates coherent naturalistic vision.
Science Advances, 9, eadi2321.
DOI: 10.1126/sciadv.adi2321
- Kaiser D, Stecher R, Doerschner K (2023).
EEG decoding reveals neural predictions for naturalistic material behaviors.
Journal of Neuroscience 43: 5406-5413.
DOI: 10.1523/JNEUROSCI.0286-23.2023
- Xie S, Kaiser D, Cichy RM (2020).
Visual imagery and perception share neural representations in the alpha frequency band.
Current Biology, 30, 2621-2627.
DOI: 10.1016/j.cub.2020.04.074
- Cichy RM, & Kaiser D (2019).
Deep neural networks as scientific models.
Trends in Cognitive Sciences, 23, 305-317.
DOI: 10.1016/j.tics.2019.01.009
- Kaiser D, Quek GL, Cichy RM, & Peelen MV (2019).
Object vision in a structured world.
Trends in Cognitive Sciences, 23, 672-685.
DOI: 10.1016/j.tics.2019.04.013
- Kaiser D, Turini J, Cichy RM. (2019).
A neural mechanism for contextualizing fragmented inputs during naturalistic vision.
eLife, 8, e48182.
DOI: 10.7554/eLife.48182
- Kaiser D, Oosterhof NN, Peelen MV (2016).
The neural dynamics of attentional selection in natural scenes.
Journal of Neuroscience, 36, 10522-10528.
DOI: 10.1523/JNEUROSCI.1385-16.2016
- Kaiser D, Stein T, Peelen MV (2014).
Object grouping based on real-world regularities facilitates perception by reducing competitive interactions in visual cortex.
Proceedings of the National Academy of Sciences USA, 111, 11217-11222.
DOI: 10.1073/pnas.1400559111
