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 ...
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 ...
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 ...
This important study uses simultaneous EEG and fMRI recordings to shed light on the relationship between alpha and gamma oscillations and specific cortical layers. The sophisticated methodology ...
EEG samples are converted into spike trains using NeuCube. The spatio-temporal spiking patterns are encoded across a 3D SNN reservoir. The resulting spike outputs are stored in out_neucube_open.h5.
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 ...
aDepartment of Neonatology, University Medical Centre Utrecht, Utrecht, Netherlands bPsychosocial Department, University Medical Centre Utrecht, Utrecht, Netherlands cChild Development and Exercise ...
In terms of seizure prediction, how to fully mine relational data information among multiple channels of epileptic EEG? This is a scientific research subject worthy of further exploration. Recently, ...
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