Abstract: The automated classification and prediction of epileptic seizures using electroencephalography (EEG) remains a dynamic and critical area of interdisciplinary research, situated at the ...
By modeling the single-trial electroencephalogram of participants performing perceptual decisions, and building on predictions from two century-old psychological laws, we estimate the times of ...
Yale School of Medicine (YSM) scientists have discovered a molecular difference in the brains of autistic people compared to ...
Neural and computational evidence reveals that real-world size is a temporally late, semantically grounded, and hierarchically stable dimension of object representation in both human brains and ...
A research paper by scientists at the Beijing Institute of Technology proposed a brain–machine hybrid intelligent system for sound target detection (STD), featuring a neuroanatomy-informed EEG ...
Abstract: Electroencephalogram (EEG) artifact removal has been investigated for decades with the goal of reconstructing the clean signals for the subsequent EEG analysis. However, existing denoising ...
Introduction: In recent years, with advancements in wearable devices and biosignal analysis technologies, sports performance analysis has become an increasingly popular research field, particularly ...
Researchers have long been intrigued by ketamine’s ability to alter consciousness and its potential therapeutic uses, particularly in treating mood disorders. A recent study published in Translational ...
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