Importance: Brain–computer interface (BCI) decodes and converts brain signals into
machine instructions to interoperate with the external world. However, limited by the …

Purpose The purpose of this study is to investigate the effects of the remote training process
on distance learning with the application of neurometrics and investigate the features of the …

We propose a hyperscanning research design, where electroencephalographic (EEG) data
were collected on an instructor and teams of learners. We compared neurophysiological …

In this work, we propose a modification of the wavelet oscillatory pattern method for
analyzing energy characteristics of oscillatory components in complex signals. The energy …

A goal's self-awareness and the planning to achieve it drive decision makers. Through a
neuroscientific approach, this study explores the self-awareness of goals by analyzing the …

In organisational contexts, professionals are required to decide dynamically and prioritise
unexpected external inputs deriving from multiple sources. In the present study, we applied …

This paper focuses on EEG-based visual recognition, aiming to predict the visual object
class observed by a subject based on his/her EEG signals. One of the main challenges is …

Background: A more rewarding choice, even if it requires more effort, is usually preferred by
individuals; yet, in some cases, individuals choose less profitable and less tiring options …

The digitalization of learning in the organization represents both a necessity and an
opportunity. Little to no research explored how distance training affects cognitive and …

Dette arbeidet fokuserer på å håndtere noen utfordinger innen hjerne-datamaskin-
grensesnitt (BCI) basert på forestilte bevegelser (MI), kalt MI-BCI, inkludert forbedring av …