Perception is rich and probabilistic.

ABSTRACT: When we see a stimulus, e.g. a star-shaped object, our intuition is that we should perceive a single, coherent percept (even if it is inaccurate). But the neural processes that support perception are complex and probabilistic. Simple lines cause orientation-selective neurons across a population to fire in a probabilistic-like manner. Does probabilistic neural firing lead to non-probabilistic perception, or are the representations behind perception richer and more complex than intuition would suggest? To test this, we briefly presented a complex shape and had participants report the correct shape from a set of options. Rather than reporting a single value, we used a paradigm designed to encourage to directly report a representation over shape space-participants placed a series of Gaussian b

SUBMITTER: Jabar SB 

PROVIDER: S-EPMC9343356 | biostudies-literature | 2022 Aug

REPOSITORIES: biostudies-literature