Daniel Kaiser
Dr.
Justus-Liebig Universität Gießen
FB 07 - Mathematik und Informatik, Physik, Geographie
Arndtstraße 2
35392 Gießen
Kurzinfo
My research is primarily concerned with how humans perceive natural visual environments. A specific focus of my work lies on the brain mechanisms that support the efficient representation of complex but predictably structured natural scenes. In my research, I combine methods from experimental psychology with neuroscientific methods (fMRI, EEG) and artificial neural network models.
project-related publications
Chen L, Cichy RM*, Kaiser D* (2023). Alpha-frequency feedback to early visual cortex orchestrates coherent naturalistic vision. Sci Adv 9: eadi2321. *equal contribution
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Chen L, Cichy RM*, Kaiser D* (2024). Coherent categorical information triggers integration-related alpha dynamics. Journal of Neurophysiology.
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Kaiser, D. (2024). Spectral brain signatures of aesthetic natural perception in the α and β frequency bands. Journal of Neurophysiology, 128(6), 1501-1505.
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Kaiser, D., Stecher, R., & Doerschner, K. (2023). EEG decoding reveals neural predictions for naturalistic material behaviors. bioRxiv, 2023-02. find paper
Kaiser, D., Stecher, R., & Doerschner, K. (2024). EEG decoding reveals neural predictions for naturalistic material behaviors. Journal of Neuroscience43, no. 29 (2023): 5406-5413. find paper
Klink H, Kaiser D, Stecher R, Ambrus GG*, Kovács G* (2024). Your place or mine? The neural dynamics of personally familiar scene recognition suggests category independent familiarity encoding. Cereb Cortex. *equal contribution find paper
Küçük, E., Foxwell, M., Kaiser, D., & Pitcher, D. (2024). Moving and Static Faces, Bodies, Objects, and Scenes Are Differentially Represented across the Three Visual Pathways.. Journal of Cognitive Neuroscience, 1-13. find paper
Nara, S., & Kaiser, D. (2024). Integrative processing in artificial and biological vision predicts the perceived beauty of natural images. Science Advances, 10(9), eadi9294.
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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. Social cognitive and affective neuroscience, 18(1), nsad072. find paper
Wang, G., Foxwell, M. J., Cichy, R. M., Pitcher, D., & Kaiser, D. (2024). Individual differences in internal models explain idiosyncrasies in scene perception. Cognition, 245, 105723. find paper