Complexity and non-predictability in neurodynamic: gender-specific EEG dynamics uncovered via hidden markov models [0.03%]
基于隐马尔可夫模型的神经动力学复杂性和不可预测性：揭开性别特异性脑电动力学特征
Fatemeh Zareayan Jahromy
Fatemeh Zareayan Jahromy
One area of interest in neuroscience is the study of differences between male and female brains, encompassing structural, physiological, and neural activity, as well as their implications for behavioral traits and functional capabilities. I...
Sound intensity-dependent cortical activation: implications of the electrical and vascular activity on auditory intensity [0.03%]
声音强度依赖性皮层激活：听觉强度的电和血管活动的意义
Vanesa Muñoz,Brenda Y Angulo-Ruiz,Carlos M Gómez
Vanesa Muñoz
Recent studies combining electroencephalography (EEG) and functional near-infrared spectroscopy (fNIRS) have shown promising results linking neural and vascular responses. This study analyzes the topographical effect of auditory stimulus in...
Shap-driven explainable AI with simulated annealing for optimized seizure detection using multichannel EEG signal [0.03%]
基于模拟退火的SHAP驱动可解释AI在多通道EEG信号癫痫发作检测中的优化应用研究
Indu Dokare,Sudha Gupta
Indu Dokare
The aim of this research is to combine Explainable AI (XAI) with advanced optimization techniques to provide a unique framework for seizure detection. This proposed work investigates how to enhance patient-specific and patient-non-specific ...
DMPat-based SOXFE: investigations of the violence detection using EEG signals [0.03%]
基于DMPat的SOXFE：使用EEG信号进行暴力检测的研究
Kubra Yildirim,Tugce Keles,Sengul Dogan et al.
Kubra Yildirim et al.
Automatic violence detection is one of the most important research areas at the intersection of machine learning and information security. Moreover, we aimed to investigate violence detection in the context of neuroscience. Therefore, we ha...
Conditional probabilistic-based domain adaptation for cross-subject EEG-based emotion recognition [0.03%]
基于条件概率的域适应跨受试者脑电情绪识别方法
Shichao Cheng,Yifan Wang,Jiawei Mei et al.
Shichao Cheng et al.
Electroencephalogram (EEG)-based emotion recognition has received increasing attention in affective computing. Due to the non-stationary and non-linear characteristics of EEG signals, EEG data exhibit significant individual differences. Pre...
ECn-MultiBSTM: multiclass epileptic seizure classification using electro cetacean optimized bidirectional long short-term memory model [0.03%]
基于电豚优化双向长短时记忆模型的癫痫发作多分类识别(ECn-MultiBSTM)
Pankaj Kunekar,Pankaj Dadheech,Mukesh Kumar Gupta
Pankaj Kunekar
Multiclass epileptic seizureclassification aims to identify and categorize different epileptic seizure types like a non-epileptic seizure, epileptic interictal seizure, and epileptic ictal seizurein individuals based on Electroencephalograp...
Reducing calibration efforts of SSVEP-BCIs by shallow fine-tuning-based transfer learning [0.03%]
基于浅层微调的迁移学习降低SSVEP-BCI校准努力
Wenlong Ding,Aiping Liu,Xingui Chen et al.
Wenlong Ding et al.
The utilization of transfer learning (TL), particularly through pre-training and fine-tuning, in steady-state visual evoked potential (SSVEP)-based brain-computer interfaces (BCIs) has substantially reduced the calibration efforts. However,...
Multilevel Inter-modal and Intra-modal Transformer network with domain adversarial learning for multimodal sleep staging [0.03%]
基于领域对抗学习的多模态睡眠分期多级交互转换器网络
Yang-Yang He,Jian-Wei Liu
Yang-Yang He
Sleep staging identification is a fundamental task for the diagnosis of sleep disorders. With the development of biosensing technology and deep learning technology, it is possible to automatically decode sleep process through electroencepha...
The mechanism of a 16-Week Baduanjin intervention in altering neural inhibition responses to food cues in healthy adults - an ERP study [0.03%]
一种十六周八段锦干预改变健康成人对食物线索神经抑制反应的机制研究——事件相关电位研究
Chenping Zhang,Xiawen Li,Liyan Wang et al.
Chenping Zhang et al.
The positive impact of exercise on inhibitory control has been validated in numerous studies; however, few studies have explored the effect of long-term exercise on food-related inhibitory control. The aim of the present study was to explor...
Coherence resonance, parameter estimation and self-regulation in a thermalsensitive neuron [0.03%]
热敏神经元中的相干共振、参数估计和自我调节
Qun Guo,Ping Zhou,Xiaofeng Zhang et al.
Qun Guo et al.
In this work, two capacitors connected by a thermistor are used to explore the electrical property of double-layer membrane in a neuron, which the membrane property is sensitive to changes of temperature and two capacitive variables are use...