19 Result(s)
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Article
Open AccessEEG decoding for effects of visual joint attention training on ASD patients with interpretable and lightweight convolutional neural network
Visual joint attention, the ability to track gaze and recognize intent, plays a key role in the development of social and language skills in health humans, which is performed abnormally hard in autism spectrum...
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Article
Open AccessLattice 123 pattern for automated Alzheimer’s detection using EEG signal
This paper presents an innovative feature engineering framework based on lattice structures for the automated identification of Alzheimer's disease (AD) using electroencephalogram (EEG) signals. Inspired by th...
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Article
Open AccessBlack-white hole pattern: an investigation on the automated chronic neuropathic pain detection using EEG signals
Electroencephalography (EEG) signals provide information about the brain activities, this study bridges neuroscience and machine learning by introducing an astronomy-inspired feature extraction model. In this ...
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Article
Enhancing in-situ updates of quantized memristor neural networks: a Siamese network learning approach
Brain-inspired neuromorphic computing has emerged as a promising solution to overcome the energy and speed limitations of conventional von Neumann architectures. In this context, in-memory computing utilizing ...
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Article
Open AccessAberrant dynamic functional network connectivity in type 2 diabetes mellitus individuals
An increasing number of recent brain imaging studies are dedicated to understanding the neuro mechanism of cognitive impairment in type 2 diabetes mellitus (T2DM) individuals. In contrast to efforts to date th...
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Article
Open AccessADHD/CD-NET: automated EEG-based characterization of ADHD and CD using explainable deep neural network technique
In this study, attention deficit hyperactivity disorder (ADHD), a childhood neurodevelopmental disorder, is being studied alongside its comorbidity, conduct disorder (CD), a behavioral disorder. Because ADHD a...
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Article
A novel noninvasive brain–computer interface by imagining isometric force levels
Physiological circuits differ across increasing isometric force levels during unilateral contraction. Therefore, we first explored the possibility of predicting the force level based on electroencephalogram (E...
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Article
Primate brain pattern-based automated Alzheimer's disease detection model using EEG signals
Electroencephalography (EEG) may detect early changes in Alzheimer's disease (AD), a debilitating progressive neurodegenerative disease. We have developed an automated AD detection model using a novel directed...
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Article
The age of onset and cognitive impairment at the early stage of schizophrenia
In schizophrenia, the age of first episode onset can reflect genetic loading and predict prognosis. Little is known about the association between the age of onset and cognition among individuals with early-sta...
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Chapter
AOP-Based Machine Learning for Toxicity Prediction
On a daily basis, people will be exposed to various compounds, many of which potentially endanger human life and health. Therefore, there is a driving imperative to evaluate the toxic effects of these compound...
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Article
Regulating effect of CBF on memory in cognitively normal older adults with different ApoE genotype: the Alzheimer’s Disease Neuroimaging Initiative (ADNI)
Apolipoprotein E (ApoE) ε4 allele and cerebral blood flow (CBF) changes are related to the increased risk of cognitive impairment independently. However, whether there are interactions between ApoE ε4 and CBF ...
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Article
Plasma total antioxidant status and cognitive impairments in first-episode drug-naïve patients with schizophrenia
Accumulating evidence suggest that excessive reactive oxygen species-induced oxidative damage may underlie neurodegeneration and cognitive impairment in several disorders including schizophrenia. In this study...
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Article
The influence of induced mood on music preference
The purpose of this study was to clarify the impact of different self-centered moods on music preference without listening to music. Participants’ affective state (sad vs. happy vs. neutral) were experimentall...
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Article
Neonatal exposure of ketamine inhibited the induction of hippocampal long-term potentiation without impairing the spatial memory of adult rats
Ketamine is one of general anesthetics and has been commonly used in obstetric and pediatric anesthesia. However, effects of exposure to ketamine on neonatal brain are largely unknown. In this study, we aim to...
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Article
Dancers and fastball sports athletes have different spatial visual attention styles
Physical exercise and the training effects of repeated practice of skills over an extended period of time may have additive effects on brain networks and functions. Various motor skills and attentional styles ...
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Article
The effect of repetition priming on spatial memory during backtracking in a novel environment
During wayfinding in a novel environment, we encounter many new places. Some of those places are encoded by our spatial memory. But how does the human brain “decides” which locations are more important than ot...
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Article
Brain electrical activities of dancers and fast ball sports athletes are different
Exercise training has been shown not only to influence physical fitness positively but also cognition in healthy and impaired populations. However, some particular exercise types, even though comparable based ...
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Article
The stability of impulsive stochastic Cohen–Grossberg neural networks with mixed delays and reaction–diffusion terms
The global asymptotic stability of impulsive stochastic Cohen–Grossberg neural networks with mixed delays and reaction–diffusion terms is investigated. Under some suitable assumptions and using Lyapunov–Krasov...
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Chapter and Conference Paper
The Attractor Type of Complex Networks
In this paper, the bistable differential system is introduced to each unit of a complex network, the affections of network topology fabrics on the attractor type of the network are studied numerically. It is f...
