Prof. Dr. Daniel Kaiser

Spatiotemporal prediction in the cortical processing of natural visual information

Predictive processing theories view cortical feedback mechanisms as essential for vision in natural environments. Although recent research shows that feedback is coded in specific brain rhythms, we do not know enough about how such oscillatory feedback orchestrates key computations in perception.

In this project, we employ a combination of spatially, temporally, and spectrally resolved neural recordings and computational modelling to resolve how predictive feedback supports two critical computations in real-world environments:

(1) the integration of information across visual space, and

(2) the interpolation of information that is momentarily unavailable

new 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 find paper DOI
Chen L, Cichy RM*, Kaiser D* (2024). Coherent categorical information triggers integration-related alpha dynamics. Journal of Neurophysiology. find paper DOI
Kaiser, D. (2024). Spectral brain signatures of aesthetic natural perception in the α and β frequency bands. Journal of Neurophysiology, 128(6), 1501-1505. find paper DOI
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 DOI
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 DOI
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 DOI
Nara, S., & Kaiser, D. (2024). Integrative processing in artificial and biological vision predicts the perceived beauty of natural images. Science Advances, 10(9), eadi9294. find paper DOI
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 DOI
former project-related publications