The Virtual Brain Inference (VBI) toolkit enables efficient, accurate, and scalable Bayesian inference over whole-brain network models, improving parameter estimation, uncertainty quantification, and ...

Jaap van der Aar's mission over the past four years has been to combine unobtrusive wearables with specialized AI to improve ...

Mindmachines.com, a distributor of brainwave entrainment technologies, emphasizes the growing importance of advanced ...

New research published in Neuropsychologia provides evidence that adults with dyslexia process visual information differently ...

A high-fidelity driving simulator detected subtle visuospatial, attentional, and reaction time impairments in people with ...

New research shows that deep learning can use EEG signals to distinguish Alzheimer’s disease from frontotemporal dementia ...

Researchers have developed a deep learning model that analyzes EEG brain activity to detect both the type and severity of ...

Discover why the "bad portions" of the user journey are the ones that tend to be remembered, and what to do about it.

Abstract: The high temporal resolution and the asymmetric spatial activations are essential attributes of electroencephalogram (EEG) underlying emotional processes in the brain. To learn the temporal ...

Dementia, including Alzheimer’s (AD) and frontotemporal dementia (FTD), often causes overlapping symptoms, making diagnosis ...

A new advance from Carnegie Mellon University researchers could reshape how clinicians identify the brain regions responsible for drug-resistant epilepsy.