A General Framework for Inferring Bayesian Ideal Observer Models from Psychophysical Data
Sign Up to like & getrecommendations! Published in 2022 at "eNeuro"
DOI: 10.1523/eneuro.0144-22.2022
Abstract: Abstract A central question in neuroscience is how sensory inputs are transformed into percepts. At this point, it is clear that this process is strongly influenced by prior knowledge of the sensory environment. Bayesian ideal… read more here.
Keywords: psychophysical data; bayesian ideal; ideal observer; observer models ... See more keywords
Individual differences moderate effects in an Unusual Disease paradigm: A psychophysical data collection lab approach and an online experiment
Sign Up to like & getrecommendations! Published in 2023 at "Frontiers in Psychology"
DOI: 10.3389/fpsyg.2023.1086699
Abstract: We report two studies investigating individual intuitive-deliberative cognitive-styles and risk-styles as moderators of the framing effect in Tversky and Kahneman's famous Unusual Disease problem setting. We examined framing effects in two ways: counting the number… read more here.
Keywords: disease; psychophysical data; risk styles; unusual disease ... See more keywords
A note on detecting statistical outliers in psychophysical data
Sign Up to like & getrecommendations! Published in 2019 at "Attention, Perception & Psychophysics"
DOI: 10.3758/s13414-019-01726-3
Abstract: This paper considers how to identify statistical outliers in psychophysical datasets where the underlying sampling distributions are unknown. Eight methods are described, and each is evaluated using Monte Carlo simulations of a typical psychophysical experiment.… read more here.
Keywords: statistical outliers; psychophysical data; note detecting; outliers psychophysical ... See more keywords