Cluster C: Perceptual inference mechanisms
To study perceptual inference mechanisms we start from the functional level and ask how inferences concerning particular features such as colour, shape or motion are computed by neural populations. How these properties are encoded in the activity of single cells has been extensively studied in multiple brain areas, but it is still unclear how they are extracted and what computations among populations of neurons are necessary to do this. The central research questions are:
- Can we identify neural mechanisms for specific types of prior knowledge and its combination with the sensory input?
- How are different perceptual interpretations of an image represented and selected by the brain?
- By what mechanisms can population activity resolve ambiguities to arrive at unique percepts and actions?
- How are the responses of lower-level cells pooled to make higher-level inferences and predictions about the world?
C1 Colour perception in natural scences: perceptual inferences in colour constancy.
Werner, Bartels, Ebner, Franz
C2 Population codes for 3D shape estimation.
Fleming, Buelthoff, Logothetis
C3 The inferential nature of visual motion perception.
C4 Neural representations of sensory predictions for perception and action.
C5 Population dynamics in multi-stable perception.
Keliris, Rosenstiel, Fleming, Logothetis