We used a dynamic probability learning task and high-field MRI to identify putative cortical regions involved in the representation of confidence about ...

Jul 30, 2022 · We used a dynamic probability learning task and high-field MRI to identify putative cortical regions involved in the representation of confidence about ...

May 10, 2023 · In this study, researchers used a dynamic probability learning task and high-field functional MRI to identify cortical regions potentially ...

Jul 30, 2022 · In the framework of probabilistic inference, the confidence about a learned estimate can be quantified by its precision (inverse variance), ...

We analyzed the latent variables of learning with a Bayesian ideal observer model that distinguishes confidence from prediction, predictability and surprise.

Here, we used a dynamic probability learning task and high-field MRI to identify putative cortical regions involved in the representation of confidence about ...

A characterization of the neural representation of confidence during probabilistic learning · Tiffany Bounmy, E. Eger, Florent Meyniel · Published in NeuroImage ...

A characterization of the neural representation of confidence during probabilistic learning. Citation metadata. Date: Aug. 16, 2022.

The purpose of the present study is to explain and describe (with the help of the probabilistic model) the process of breaking the stage of synchronous ...

Confidence that observations that deviate from the learned predictions are surprising and used to update those predictions. Uncertainty Bayesian accounts further ...