The recognition of object categories is effortlessly accomplished in everyday life, yet its
neural underpinnings remain not fully understood. In this electroencephalography (EEG) …

The ability of today's robots to autonomously support humans in their daily activities is still
limited. To improve this, predictive human-machine interfaces (HMIs) can be applied to …

The neural mechanisms used by the human brain to identify phonemes remain unclear. We
recorded the EEG signals evoked by repeated presentation of 12 American English …

В науке о мозге оформилось новое направление исследований, названное “чтением
мозга”. Данные исследования посвящены расшифровке содержательной …

Purpose–The presented work contributes to research in the field of advanced man-machine
interaction and to research in the field of formalisation and verification of complex systems …

This letter develops a framework for EEG analysis and similar applications based on
polyharmonic splines. This development overcomes a basic problem with the method of …

The activity of collections of synchronizing neurons can be represented by weakly coupled
nonlinear phase oscillators satisfying Kuramoto's equations. In this article, we build such …

Isomorphism has become a key concept for the analysis of representation in many contexts:
perceptual experience, mental imagery, scientific theories, and visual artwork may all be …

MatClassRSA is a Matlab toolbox that performs M/EEG classification and produces various
visu-alizations of the resulting confusion matrices. This toolbox is aimed toward cognitive …

Current autonomous robots and interfaces are far from exhibiting the adaptability of
biological beings regarding changes in their environment or during interaction. They are not …