Latest AI and machine learning research in seizures for healthcare professionals.
Developing robust and clinically reliable EEG biomarkers requires evaluation frameworks that explici...
Patients with dementia typically exhibit cognitive impairment, which is routinely assessed using the...
Electroencephalography (EEG) is highly susceptible to artifact contamination, such as electrooculogr...
Spontaneous thoughts constitute most of everyday inner experience, yet long-standing methodological ...
Objective: Decoding visual information from electroencephalography (EEG) is an important problem in ...
The human brain processes large amounts of complex visual information in order to effectively intera...
Zero-shot EEG-to-image retrieval aims to decode perceived visual content from electroencephalography...
Objective: Post-traumatic epilepsy (PTE) is a debilitating neurological disorder that develops after...
Recent EEG studies of human quiet stance have identified beta-band event-related desynchronization (...
Electroencephalography (EEG)-based multimodal learning integrates brain signals with complementary m...
Epileptic seizure detection from EEG signals remains challenging due to the high dimensionality and ...
Reconstructing visual stimuli from non-invasive electroencephalography (EEG) remains challenging due...
Decoding visual information from electroencephalography (EEG) has recently achieved promising result...
Seizure detection from EEG signals is highly challenging due to complex spatiotemporal dynamics and ...
Biological brain aging is a major determinant of cognitive decline and neurodegenerative disease, ye...
Background Narcolepsy is a rare, lifelong neurological disorder that often begins in childhood or ad...
Brain-Computer interfaces (BCIs) offer a link between neural signals and external computation, enabl...
Maladaptive reward learning and decision-making circuity are key factors in the onset and progressio...
Deep learning models have shown promise in EEG-based outcome prediction for comatose patients after ...
Resting-state electroencephalography (rs-EEG) offers a cost effective and portable alternative to co...
Working memory (WM) supports the temporary maintenance of goal-relevant information and is disrupted...