15 citations · 26 across the 3 of their papers we have counts for
3 papers
Biases and Variability from Costly Bayesian Inference
Arthur Prat-Carrabin, Florent Meyniel, Misha Tsodyks +1
When humans infer underlying probabilities from stochastic observations, they exhibit biases and variability that cannot be explained on the basis of sound, Bayesian manipulations…
Bias and variance of the Bayesian-mean decoder
Arthur Prat-Carrabin, Michael Woodford
Perception, in theoretical neuroscience, has been modeled as the encoding of external stimuli into internal signals, which are then decoded. The Bayesian mean is an important decod…
Human Inference in Changing Environments With Temporal Structure
Arthur Prat-Carrabin, Robert C. Wilson, Jonathan D. Cohen +1
To make informed decisions in natural environments that change over time, humans must update their beliefs as new observations are gathered. Studies exploring human inference as a…