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 ...
Predictions for identifying 1-year seizure recurrence performed significantly better in electroencephalography (EEG) without interictal epileptiform discharges. An automated processing algorithm ...
Virginia will discuss work on single-trial analysis of EEG signals during episodic memory tasks. They develop single-trial classifiers to predict whether people will remember pictures from EEG ...
Artificial intelligence-enabled point-of-care EEG allows rapid bedside seizure detection, accelerating treatment and preventing unnecessary care escalation.
A new technique developed by neuroscientists at the University of Toronto Scarborough can, for the first time, reconstruct images of what people perceive based on their brain activity gathered by EEG.
A ROUTINE EEG could soon change dementia diagnosis, as researchers show that artificial intelligence applied to EEG scans can ...
The consumer-grade EEG headbands currently on the market allow people an opportunity to get a glimpse of how their brains work. Traditionally, EEG systems have been expensive and thus inaccessible to ...
News-Medical.Net on MSN
FAU researchers create deep learning model that detects and evaluates Alzheimer's and FTD
Dementia is a group of disorders that gradually impair memory, thinking and daily functioning. Alzheimer's disease (AD), the ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results