Hierarchical Bayesian perceptual template modeling of mechanisms of spatial attention in central and peripheral cuing.

ABSTRACT: The external noise paradigm and perceptual template model (PTM) have successfully been applied to characterize observer properties and mechanisms of observer state changes (e.g. attention and perceptual learning) in several research domains, focusing on individual level analysis. In this study, we developed a new hierarchical Bayesian perceptual template model (HBPTM) to model the trial-by-trial data from all individuals and conditions in a published spatial cuing study within a single structure and compared its performance to that of a Bayesian Inference Procedure (BIP), which separately infers the posterior distributions of the model parameters for each individual subject without the hierarchical structure. The HBPTM allowed us to compute the joint posterior distribution of the hyperpara

SUBMITTER: Lu ZL 

PROVIDER: S-EPMC9973531 | biostudies-literature | 2023 Feb

REPOSITORIES: biostudies-literature