Multivariate pattern analysis (MVPA) of electroencephalographic (EEG) data represents a
revolutionary approach to investigate how the brain encodes information. By considering …

In the era of technological acceleration marked by cloud computing, wireless
communication, and digital modeling, the paper explores the intersection of these …

The relentless rise in heart disease incidence, a leading global cause of death, presents a
significant public health challenge. Precise prediction of heart disease risk and early …

Aiming at the difficult to detect arbitrary-angle weld defects, a magneto-optical (MO) imaging
non-destructive testing (NDT) system for weld defects excited by different magnetic fields is …

It is difficult to detect and identify natural defects in welded components. To solve this
problem, according to the Faraday magneto-optical (MO) effect, a nondestructive testing …

Understanding how the brain perceives the world is a central aim in neuroscience, often
investigated through Electroencephalography (EEG). Traditional neuroscience …

It has been suggested that the visual system samples attended information rhythmically.
Does rhythmic sampling also apply to distracting information? How do attended information …

This study presents an emotion detection system utilizing Electroencephalogram (EEG)
data, integrated into the home robot's human-robot interaction model. With advancements in …

The visual system is tuned by its inputs. The behavior of reading offers a unique way to
examine tuning for visual representations (letters) because readers have massive …

The current paper reports the results of two ERP experiments that investigated the extent to
which syntactic information can be extracted from the parafovea. We used the reading …