The experimental results indicate that EEG signals offer good capability for measuring human decision confidence levels.

In this paper, we focus on investigating the neural patterns and the capability of EEG signals for measuring five levels of decision confidence in a visual ...

The experimental results indicate that EEG signals offer good capability for measuring human decision confidence levels, and topographic maps are used to ...

MER involves two crucial procedures: 1) learning good representations for each modality; and 2) effectively fusing multimodal information for prediction.

At the behavioral level, assuming that signals associated with overt decisions inform confidence judgments, we expected confidence ratings to better track ...

In the present study, we demonstrate that an additional urgency signal impacts how decisions are formed. This endogenous signal encourages one to respond as ...

Discrimination of Decision Confidence Levels from EEG Signals. May 2021. Rui ... Confidence is predicted by pre- and post-choice decision signal dynamics.

Oct 1, 2022 · We provide evidence for both pre- and post-decisional neural correlates of decision confidence that are observed in trials with correct and erroneous decisions ...

In this paper, we employ a spectral-spatial-temporal adaptive graph convo- lutional neural network (SST-AGCN) to recognize different levels of decision.

This paper investigates the possibility of decoding decision confidence from electroencephalographic (EEG) brain activity of human subjects during a ...