Daniel Kaiser
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Professor for Neural Computation
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About
Daniel Kaiser is a Professor for Neural Computation at Justus-Liebig-Universität Gießen, Germany. His research focuses on neural mechanisms underlying visual perception, scene recognition, and aesthetic experiences, as illustrated by his recent articles addressing topics such as EEG decoding of neural predictions and dynamic neural representations of scene attractiveness. He investigates how various neural signals interact during complex cognitive tasks, contributing to our understanding of sensory processing and categorization.
Recent Grants
Grant: Open
Personalized priors – How idiosyncrasies in internal models explain individual differences in natural vision
Open Date: 2023-01-01
Close Date: 2027-01-01
Grant: Close
Spatiotemporal prediction in the cortical processing of natural visual information (A09#)
Open Date: 2022-01-01
Close Date:
Grant: Close
Objects in Scenes
Open Date: 2018-06-01
Close Date: 2021-12-01
Articles (13)
Collaborators (4)
Radoslaw M. Cichy
Freie Universität Berlin
Géza Gergely Ambrus
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Johannes Fahrenfort
University of Amsterdam
Simon van Gaal
Associate professor
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