How Do Expectations Shape Perception?

By Floris P. de Lange, Micha Heilbron, Peter Kok. Trends in Cognitive Sciences, 2018

810 citations recorded by the source corpus.

Perception and perceptual decision-making are strongly facilitated by prior knowledge about the probabilistic structure of the world. While the computational benefits of using prior expectation in perception are clear, there are myriad ways in which this computation can be realized. We review here recent advances in our understanding of the neural sources and targets of expectations in perception. Furthermore, we discuss Bayesian theories of perception that prescribe how an agent should integrate prior knowledge and sensory information, and investigate how current and future empirical data can inform and constrain computational frameworks that implement such probabilistic integration in perception.

Subfields: Cognitive Neuroscience

View Paper: https://www.semanticscholar.org/paper/c840535bdddc474492a14d85be6c168c036f68ac

Citations in the corpus

• Cortical encoding of probabilistic temporal predictions during speech perception (2026, unknown): “In this view, the brain takes advantage of every source of information available to predict upcoming input (64, 78).”