Help Privacy Policy Disclaimer
  Advanced SearchBrowse




Journal Article

Prediction, context and competition in visual recognition


Trapp,  Sabrina
Department Neurology, MPI for Human Cognitive and Brain Sciences, Max Planck Society;

External Resource
No external resources are shared
Fulltext (restricted access)
There are currently no full texts shared for your IP range.
Fulltext (public)
There are no public fulltexts stored in PuRe
Supplementary Material (public)
There is no public supplementary material available

Trapp, S., & Bar, M. (2015). Prediction, context and competition in visual recognition. Annals of the New York Academy of Sciences, 1339(Competitive Visual Processing Across Space and Time), 190-198. doi:10.1111/nyas.12680.

Cite as: https://hdl.handle.net/11858/00-001M-0000-0024-5571-2
Perception is substantially facilitated by top-down influences, typically seen as predictions. Here, we outline that the process is competitive in nature, in that sensory input initially activates multiple possible interpretations, or perceptual hypotheses, of its causes. This raises the question of how the selection of the correct interpretation from among those multiple hypotheses is achieved. We first review previous findings in support of such a competitive nature of perceptual processing, and then propose which neural regions might provide a platform for rising and using expectations to resolve this competition. Specifically, we propose that it is the rapid extraction and top-down dissemination of a global context signal from the frontal cortices, particularly the orbitofrontal cortex, that affords the quick and reliable resolution of the initial competition among likely alternatives toward a singular percept.