Prior probability and feature predictability interactively bias perceptual decisions.

ABSTRACT: Anticipating a forthcoming sensory experience facilitates perception for expected stimuli but also hinders perception for less likely alternatives. Recent neuroimaging studies suggest that expectation biases arise from feature-level predictions that enhance early sensory representations and facilitate evidence accumulation for contextually probable stimuli while suppressing alternatives. Reasonably then, the extent to which prior knowledge biases subsequent sensory processing should depend on the precision of expectations at the feature level as well as the degree to which expected features match those of an observed stimulus. In the present study we investigated how these two sources of uncertainty modulated pre- and post-stimulus bias mechanisms in the drift-diffusion model during a prob

SUBMITTER: Dunovan KE 

PROVIDER: S-EPMC4126168 | biostudies-literature | 2014 Aug

REPOSITORIES: biostudies-literature