Topic: visual decisions

Visual decisions typically require accumulation of uncertain sensory information to make inferences about the state of the world. This inference process is complicated by the fact that the state of the world can change, which often requires adjustments in how sensory information is accumulated. Previous work has modeled optimal inference in these changing environments [1-2]. One key feature of these models is a leakage of accumulated evidence, where the leak rate depends on environmental stability. For example, in more unstable environments, an increased leak rate helps remove pre-change evide

Beliefs and expectations, also referred to as priors, shape how we perceive our environment. In a complex and ever-changing world, prior beliefs need to be flexibly and continuously integrated into sensory decision processes to guide adaptive behavior. Despite the advances in understanding the integration of priors in visual decisions at the computational and algorithmic levels, its neural mechanisms remain unclear. The goal of this study was to understand the neural dynamics involved in belief formation and updating. Here, we used high-density electroencephalogram recordings to constrain and