Constructing accurate predictive models is at the heart of brain-computer interfaces (BCIs)
because these models can ultimately translate brain activities into communication and …

Objective Intuitive inquiry meditation is a unique form of Buddhist Zen/Chan practice in
which individuals actively and intuitively utilize the cognitive functions to cultivate doubt and …

Modulation of sensorimotor rhythm (SMR) power, a rhythmic brain oscillation physiologically
linked to motor imagery, is a popular Brain–Machine Interface (BMI) paradigm, but its …

This paper investigates the changes in sensory neural activity during exoskeleton control.
Exoskeletons are becoming reliable tools for neurorehabilitation, as recent studies have …

A Spiking Neural Network (SNN) is defined as an Artificial Neural Network (ANN) that has
developed rapidly in the last decade. There are some difficulties in implementing these …

Objective: Intuitive inquiry meditation is a unique form of Buddhist Chan practice that actively
and intuitively utilizes the cognitive functions of doubt to explore the concept of self. This …

Constructing accurate predictive models for the detection of event-related potentials (ERPs)
is a crucial step to obtain robust Brain-Computer Interface (BCI) systems. In this regard, the …

Brain-machine interfaces (bci) translate brain activity into control signals of external devices,
such as robots, prostheses or computers. A well-established bci paradigm uses signal …