Results 1 to 10 of about 73,959 (252)

Differences in Intersubject Early Readiness Potentials Between Voluntary and Instructed Actions

open access: yesFrontiers in Psychology, 2020
Readiness potential (RP) is a slow negative electroencephalogram (EEG) potential prior to voluntary action and was first described by Kornhuber and Deecke (1965).
Lipeng Zhang   +11 more
doaj   +1 more source

An empirical comparison of deep learning explainability approaches for EEG using simulated ground truth

open access: yesScientific Reports, 2023
Recent advancements in machine learning and deep learning (DL) based neural decoders have significantly improved decoding capabilities using scalp electroencephalography (EEG). However, the interpretability of DL models remains an under-explored area. In
Akshay Sujatha Ravindran   +1 more
doaj   +1 more source

Spiking Neural Network for Augmenting Electroencephalographic Data for Brain Computer Interfaces

open access: yesFrontiers in Neuroscience, 2021
With the advent of advanced machine learning methods, the performance of brain–computer interfaces (BCIs) has improved unprecedentedly. However, electroencephalography (EEG), a commonly used brain imaging method for BCI, is characterized by a tedious ...
Sai Kalyan Ranga Singanamalla   +2 more
doaj   +1 more source

Autism spectrum disorder disrupts brain network connectivity maturation during childhood development

open access: yesScientific Reports
Understanding the developmental trajectory of autism spectrum disorder (ASD) remains a critical barrier for timely intervention in children. Here, we investigated the deficit brain maturation trajectory during childhood development in 35 ASD level 1 and ...
Lattika Tiawongsuwan   +7 more
doaj   +1 more source

How Electroencephalogram Reference Influences the Movement Readiness Potential?

open access: yesFrontiers in Neuroscience, 2017
Readiness potential (RP) based on electroencephalograms (EEG) has been studied extensively in recent years, but no studies have investigated the influence of the reference electrode on RP.
Yuxia Hu   +4 more
doaj   +1 more source

SSVEP Stimulus Layout Effect on Accuracy of Brain-Computer Interfaces in Augmented Reality Glasses

open access: yesIEEE Access, 2020
Steady-state visual evoked potentials-based brain-computer interfaces (SSVEP-BCI) has the advantage of high information transfer rate (ITR) and little user training, and it has a high application value in the field of disability assistance and human ...
Xincan Zhao   +4 more
doaj   +1 more source

A wearable repetitive transcranial magnetic stimulation device

open access: yesNature Communications
Repetitive transcranial magnetic stimulation (rTMS) is widely used to treat various neuropsychiatric disorders and to explore the brain, but its considerable power consumption and large size limit its potential for broader utility, such as applications ...
Zihui Qi   +10 more
doaj   +1 more source

Spike-Representation of EEG Signals for Performance Enhancement of Brain-Computer Interfaces

open access: yesFrontiers in Neuroscience, 2022
Brain-computer interfaces (BCI) relying on electroencephalography (EEG) based neuroimaging mode has shown prospects for real-world usage due to its portability and optional selectivity of fewer channels for compactness. However, noise and artifacts often
Sai Kalyan Ranga Singanamalla   +2 more
doaj   +1 more source

High-altitude balloon platform for studying the biological response of living organisms exposed to near-space environments

open access: yesHeliyon
The intangible desire to explore the mysteries of the universe has driven numerous advancements for humanity for centuries. Extraterrestrial journeys are becoming more realistic as a result of human curiosity and endeavors.
Sumeth Klomchitcharoen   +11 more
doaj   +1 more source

Weighted Multi-Modal Contrastive Learning Based Hybrid Network for Alzheimer’s Disease Diagnosis

open access: yesIEEE Transactions on Neural Systems and Rehabilitation Engineering
Multiple imaging modalities and specific proteins in the cerebrospinal fluid, providing a comprehensive understanding of neurodegenerative disorders, have been widely used for computer-aided diagnosis of Alzheimer’s disease (AD).
Renping Yu   +4 more
doaj   +1 more source

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