Research reveals why some images feel pleasing while others uncomfortable. The brain prefers visuals that cost less energy.
AI is not limited to diagnostics or imaging. It also plays a transformative role in biomedical research, computational ...
Introduction: Brain-computer interfaces (BCIs) leverage EEG signal processing to enable human-machine communication and have broad application potential. However, existing deep learning-based BCI ...
This review explores the vectorial principles underlying sensorimotor decoding across diverse biological systems. From the encoding of light wavelength in retinal cones to direction-specific motor ...
This paper investigates the effect of the Phase Angle Error of a Constant Amplitude Voltage signal in determining the Total Vector Error (TVE) of the Phasor ...
Abstract: The paper deals with weighted vector visibility-based graph signal processing (WVV-GSP) to decode motor imagery tasks from multi-channel EEG signals, which plays a key role in developing ...
Abstract: Nowadays, many types of devices are controlled by electroselenography (EEG) signals. In the literature and in daily life, related studies with EEG controlled devices are increasing day by ...
ABSTRACT: In this paper, we adopt a novel topological approach to fault diagnosis. In our researches, global information will be introduced into electric power network, we are using mainly BFS of ...
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