Daniel Kaiser

Short info

My research focuses on visual perception in real-world contexts. I study how natural objects and scenes are perceived and represented in the brain, and how processing depends on statistical regularities in the world. I am also interested in the top-down control of visual processing and the neural correlates of person perception.

In my research, I combine methods from experimental psychology with brain imaging (fMRI, EEG), and computational modelling. This multi-modal approach allows for tracking the dynamic construction of neural representations that are adaptive for natural behavior. 

Open Science

Carter, A., & Kaiser, D. (2023).
An object numbering task reveals an underestimation of complexity for typically structured scenes.
PsyArXiv Preprints

Foxwell, M.J.*, Wang, G.*, Cichy, R.M., Pitcher, D., Kaiser, D. (2023). *contributed equally
Individual differences in internal models explain idiosyncrasies in scene perception.
PsyArXiv Preprints

Goupil, N., Kaiser, D., Papeo, L. (2023).
Category-specific effects of high-level relations in visual search.
OSF preprint

Goupil, N., Kaiser, D., Papeo, L. (2023).
Alpha-frequency feedback to early visual cortex orchestrates coherent natural vision.
bioRxiv preprint

Kaiser, D. (2022).
Spectral brain signatures of aesthetic natural perception in the alpha and beta frequency bands.
bioRxiv preprint

Kaiser, D., Stecher, R., Dörschner-Boyaci, K. (2023).
EEG decoding reveals neural predictions for naturalistic material behaviors.
bioRxiv preprint

Klink H., Kaiser D., Stecher R., Ambrus GG*, Kovács G*. (submitted). *contributed equally
Your place or mine? The neural dynamics of personally familiar scene recognition suggests category independent familiarity encoding.
bioRxiv preprint

Lu Z*, Doerig A*, Bosch V*, Krahmer B, Kaiser D*, Cichy RM*, Kietzmann TC*. *contributed equally (submitted).
End-to-end topographic networks as models of cortical map formation and human visual behaviour: moving beyond convolutions.
arXiv preprint

Nara S., Kaiser D. (2023).
Integrative processing in artificial and biological vision predicts the perceived beauty of natural images.
bioRxiv preprint

Pitcher, D., Sliwinska, M.W., Kaiser, D. (2023).
TMS disruption of the lateral prefrontal cortex increases neural activity in the default mode network when naming facial expressions.
bioRxiv preprint

Stecher, R., & Kaiser, D. (2023).
Imaginary scenes are represented in cortical alpha activity.
bioRxiv, 2023-10.

Articles

Chen, L., Cichy, R. M., & Kaiser, D. (2023).
Alpha-frequency feedback to early visual cortex orchestrates coherent naturalistic vision.
Science Advances, 9(45), eadi2321.

Kaiser, D. (2022).
Characterizing dynamic neural representations of scene attractiveness.
Journal of Cognitive Neuroscience, 34(10), 1988-1997.