Micha Engeser
@michaengesee.bsky.social
PhD Student at Kaiser Lab, JLU Gießen, Germany
@dkaiserlab.bsky.social
@dkaiserlab.bsky.social
I’m excited to share the first preprint from my PhD project!
Together with Daniel Kaiser (@dkaiserlab.bsky.social), we investigated how internal models shape inter-individual differences in the perception and neural processing of natural scenes.
Preprint: osf.io/preprints/ps...
1/n
Together with Daniel Kaiser (@dkaiserlab.bsky.social), we investigated how internal models shape inter-individual differences in the perception and neural processing of natural scenes.
Preprint: osf.io/preprints/ps...
1/n
December 4, 2025 at 2:23 PM
I’m excited to share the first preprint from my PhD project!
Together with Daniel Kaiser (@dkaiserlab.bsky.social), we investigated how internal models shape inter-individual differences in the perception and neural processing of natural scenes.
Preprint: osf.io/preprints/ps...
1/n
Together with Daniel Kaiser (@dkaiserlab.bsky.social), we investigated how internal models shape inter-individual differences in the perception and neural processing of natural scenes.
Preprint: osf.io/preprints/ps...
1/n
In this paper we present flexible methods for participants to express their expectations about natural scenes.
From line drawings to scene perception — our new review argues for moving beyond experimenter-driven manipulations toward participant-driven approaches to reveal what’s in our internal models of the visual world. 👁️✍️🛋
royalsocietypublishing.org/doi/10.1098/...
royalsocietypublishing.org/doi/10.1098/...
Characterizing internal models of the visual environment | Proceedings of the Royal Society B: Biological Sciences
Despite the complexity of real-world environments, natural vision is seamlessly efficient.
To explain this efficiency, researchers often use predictive processing frameworks,
in which perceptual effic...
royalsocietypublishing.org
October 8, 2025 at 9:13 AM
In this paper we present flexible methods for participants to express their expectations about natural scenes.