IEEE

Real-Time EEG-Based Facial Expression Recognition Using Laplacian Energy Features on FPGA

Abstract: Electroencephalogram (EEG)-based facial expression recognition plays an important role in affective computing and brain–computer interface systems; however, it is conceptually distinct from ...
Scientific Research Publishing

The Influence of Prior Sensory Context on Meditative Neural States ()

Meditation offers a controlled behavioral context for probing attention, arousal, and self-regulation. Rather than positioning the present work as a discovery of novel neural signatures, we analyze ...
eLife

Human EEG and artificial neural networks reveal disentangled representations and processing timelines of object real-world size and depth in natural images

Remarkably, human brains have the ability to accurately perceive and process the real-world size of objects, despite vast differences in distance and perspective. While previous studies have delved ...
GitHub

KyrollosGhali/multimodal-depression-detection

Note: The demo video provides a complete walkthrough of the system's capabilities and is highly recommended for understanding the full potential of the MMDD ...
GitHub

A Modular Python Framework for No-Code Development of EEG Brain-Computer Interfaces

A fundamental challenge in the rapid development of BCI systems is the absence of comprehensive software solutions specifically tailored for advancing cognitive neuroscience experiments. Existing BCI ...
The Lancet

Early qualitative and quantitative amplitude-integrated electroencephalogram and raw electroencephalogram for predicting long-term neurodevelopmental outcomes in extremely ...

aDepartment of Neonatology, University Medical Centre Utrecht, Utrecht, Netherlands bPsychosocial Department, University Medical Centre Utrecht, Utrecht, Netherlands cChild Development and Exercise ...