Publications citing EEG During Mental Arithmetic Tasks v1.0.0

A biophysically-inspired framework with spatiotemporal graph diffusion for EEG-based mental workload assessment
Hui Rong Xiao, Bo Wang, Hengrui Ma et al. Expert Systems with Applications, 2026. Cites: paper

Spektral analiz görsellerinde ölçekleme etkisi: Derin öğrenmede gizli bir parametre
Onur Demirci, Seral Özşen. Gazi Üniversitesi Mühendislik-Mimarlık Fakültesi Dergisi, 2026. Cites: paper

A feature-optimized EEG framework using multiscale entropy and metaheuristic optimization for cognitive analysis
Keerthika N., Kiruthika V. Frontiers in Artificial Intelligence, 2026. Cites: paper

Feature Selection under Class Imbalance: An Empirical Comparison of Correlation and Mutual Information
Anastasiia Timofeeva, Tatiana Vladimirovna Avdeenko. Informatics and Automation, 2026. Cites: paper

EEG During Mental Arithmetic Tasks
I. Zyma, Sergii Tukaev, Ivan Seleznov et al. UC San Diego, 2026. Cites: paper

Non-unitary reproducibility of an EEG-DMN-like sensor-level proxy: metric-family, task-window and paradigm effects across internally oriented tasks
Salvador Herrera-Pérez, Paolo Rossetti, Patricia Marín-Maicas et al. NeuroImage, 2026. Cites: paper

Regulating EEG data augmentation with uncertainty-guided exploration and evidential calibration
Yiping Zuo, Yaodong Wang, Dan Chen et al. Biomedical Signal Processing and Control, 2026. Cites: paper

PySDG - a Python-based framework for time-varying directional brain–heart interplay measurement through synthetic data generation models
Alexander Borch Kristensen, Matteo Saibene, Vincenzo Catrambone et al. SoftwareX, 2026. Cites: paper

EEG-FM-Compass: progress, benchmarking and future directions for EEG foundation models
Dingkun Liu, Yuheng Chen, Zhu Chen et al. National Science Review, 2026. Cites: paper

Emotion Recognition Model using a Graph-Enhanced Spatiotemporal EEG-Deformer
Hyoung-Gook Kim, Min-Seo Kim. The Journal of Korean Institute of Information Technology, 2026. Cites: paper

Structured multi-domain EEG descriptors with phase-based connectivity for lie and truth detection
Dwi Utari Surya, Sholeh Hadi Pramono, Panca Mudjirahardjo et al. MethodsX, 2026. Cites: paper

EEG During Mental Arithmetic Tasks
I. Zyma, Sergii Tukaev, Ivan Seleznov et al. UC San Diego, 2026. Cites: paper

A systematic mapping review of shared EEG signatures in stress and depression across six biomarker domains (2020–2025)
Kaveri Kar, Gyanendra Kumar Verma. Biomedical Signal Processing and Control, 2026. Cites: paper

Grounding Global Attention: A Prior-Guided Fusion Framework for Cross-Subject EEG Decoding
Xiao CHEN, Xin Zhang, Shiwei Guo et al. International Joint Conference on Neural Networks (IJCNN), 2026. Cites: paper

Tree-Structured Graph Convolutional Network with Frequency Enhancement for EEG Decoding
Jinke Fan, Jun Li, LingFeng Zhang et al. International Joint Conference on Neural Networks (IJCNN), 2026. Cites: paper

QMATE: Mitigating gradient conflict with query-enhanced multi-task adaptive transformer for unifying EEG representation
Wei Xiong, Junming Lin, Jiangtong Li et al. Knowledge-Based Systems, 2026. Cites: paper

Cognitive-Workload Detection Through Superlet Transform for 2D-EEG and MLP Mixer
Ch Kantharao Sarihaddu, Arun Raaza, Swati Lodha et al. Arabian Journal for Science and Engineering, 2026. Cites: paper

Electroencephalographic analysis of cognitive ability: A multiscale entropy approach in elite athletes and non-athletes
N. Keerthika, V. Kiruthika. Biomedical Signal Processing and Control, 2026. Cites: paper

Cross-Attention on Multitaper-Reassigned Time-Frequency Maps for Mental Workload Classification
Sedighe Mirbolouk, Hashem Kalbkhani. 2026. Cites: paper

Resting state is not actually a state of rest, as confirmed by the loss of physiological complexity in brain dynamics
Hasan Fehmi Özel, Hasan Kazdağlı. Interdisciplinary Medical Journal, 2026. Cites: paper

EEG-Based Mental Arithmetic Classification for Cognitive Workload Estimation
Shahzaib Abbas Qumber, Sheharyar Khan, Sadam Hussain Noorani et al. International Conference on Information Science and Communication Technology (ICISCT), 2026. Cites: paper

A survey on data augmentation for EEG-based emotion recognition and cognitive workload decoding
Yunyu Zhu, Yueying Zhou, Pengpai Wang et al. Frontiers in Neuroscience, 2026. Cites: paper

Detecting Cognitive Activity Using Electroencephalography and Distributed Detection System
Abdullah Biran, Aleksandar Jeremic, Laila Alatiyah et al. IEEE International Conference on Computing and Machine Intelligence (ICMI), 2026. Cites: paper

Physiologically inspired modeling of cortical dynamics through spiking neural networks
Dario Milea, Vincenzo Catrambone, Laura Sebastiani et al. Journal of Neural Engineering, 2026. Cites: paper

Anxiety detection using neural and physiological signals and artificial intelligence: A comprehensive review
Hamidreza Ghonchi, Tom Foulsham, Saideh Ferdowsi. Neuroscience & Biobehavioral Reviews, 2026. Cites: paper

Stacked generalization reveals optimal model complexity for regional EEG-based alcoholism classification
Nader Nisar Ahmed, Jeevan Medikonda. Biomedical Signal Processing and Control, 2026. Cites: paper

P2W: From Power Traces to Weights Matrix - An Unconventional Transfer Learning Approach
Roozbeh Siyadatzadeh, Fatemeh Mehrafrooz, Nele Mentens et al. ACM Symposium on Applied Computing, 2026. Cites: paper

DICHA: Dynamic and Interpretable Convolution via Hierarchical Attention for Robust EEG Classification
Cheng He, Ziheng Guo, Yehan Xu et al. Biomedical Signal Processing and Control, 2026. Cites: paper

NeuroNarrator: A Generalist EEG-to-Text Foundation Model for Clinical Interpretation via Spectro-Spatial Grounding and Temporal State-Space Reasoning
Guoan Wang, Shihao Yang, Jun-En Ding et al. bioRxiv (Cold Spring Harbor Laboratory), 2026. Cites: paper

A principal component entropy metric for assessing global synchronicity in EEG signals
Luis Anibal Diambra, Anna Hutber, Zakarriah Drakeford-Hafeez et al. Scientific Reports, 2026. Cites: dataset, paper

Multimodal granular adaptive fuzzy inference system for biosignal classification
Sandra E. Barajas-Montiel, Carlos-Alberto Reyes-García, Luis Villaseñor-Pineda. Applied Soft Computing, 2026. Cites: paper

EEGEpochNet: self-supervised contrastive learning for automated EEG epoch rejection with multi-level feature construction
Tengfei Gao, Xiaoyu Hu, Dan Chen et al. Journal of Neural Engineering, 2026. Cites: paper

A domination-based comparative study of signal-level and source-level EEG functional connectivity during rest and task conditions
Shoba Pandian, N. Mohana. Results in Engineering, 2026. Cites: paper

Comparison of preprocessing techniques for effective cognitive analysis using electroencephalography (EEG)
Keerthika. N, Kiruthika Priya V. MethodsX, 2026. Cites: paper

EEG foundation models: a critical review of current progress and future directions
Gayal Kuruppu, Neeraj Wagh, Václav Křemen et al. Journal of Neural Engineering, 2026. Cites: paper

The effect of acute stress on the interpretability and generalization of schizophrenia predictive machine learning models
Gideon Vos, Maryam Ebrahimpour, Liza van Eijk et al. Biomedical Signal Processing and Control, 2026. Cites: paper

MountPat: investigations on the EEG signals
Uğur İnce, Ömer Faruk Göktaş, Ilknur Sercek et al. Cognitive Neurodynamics, 2026. Cites: paper

EEGMoE: A Domain-Decoupled Mixture-of-Experts Model for Self-Supervised EEG Representation Learning
Xuange Gao, Danli Wang, Yanyan Zhao. IEEE Transactions on Neural Networks and Learning Systems, 2026. Cites: paper

Multivariate synchrosqueezing transform and time-frequency attention for mental workload classification from EEG signals
Zahed Nouri, Asghar Charmin, Hashem Kalbkhani et al. Scientific Reports, 2026. Cites: paper

Lobe-wise cognitive load detection using empirical Fourier decomposition and optimized machine learning
Kunamneni Chervitha, Lakhan Dev Sharma. Frontiers in Physiology, 2026. Cites: paper

An End-to-End Brain–Computer Interface for Mental Workload Classification Based on EEGNet Model and Data Augmentation
Rishabh Kholiya, Mitul Kumar Ahirwal. Lecture notes in networks and systems, 2026. Cites: paper

A Systematic Review of Electroencephalography (EEG) Studies Investigating Mathematical Efficiency: Current Insights and Future Directions
Athina Papadopoulou, Panagiotis Vlamos, Aristidis G. Vrahatis. Advances in experimental medicine and biology, 2026. Cites: paper

Comparative Evaluation of Adaptive Wavelet Transform and Classical Approaches for EEG Pre-processing in Stress Recognition
Shivangi Tyagi, Shivani Saxena, Ritu Vijay. Lecture notes in computer science, 2026. Cites: paper

EEG Signs of Increased Mental Fatigue in Individuals Recovered from COVID-19
Marzhan Kulbayeva, Alzira Kazakbayeva, Gaukhar K. Datkhabayeva. Lecture notes in networks and systems, 2026. Cites: paper

From edge-wise connectivity to collective EEG phase order dynamics: a NEST framework for multichannel EEG during mathematical problem solving
Herbert Franz Jelinek, Helmut Ahammer. SSRN Electronic Journal, 2026. Cites: paper

Intelligent Neural Interfaces in Education: A Review of Technologies for Monitoring and Adapting Students’ Cognitive States Through BCI and Artificial Intelligence
Nurzada Amangeldy, Assel Omarbekova, Aizhan Nazyrova et al. Communications in computer and information science, 2026. Cites: dataset

Stress Detection Using Optimal EEG Features Employing Wavelet Transform and Regression
Shivangi Tyagi, Ritu Vijay, Shivani Saxena. Lecture notes in networks and systems, 2026. Cites: paper

T-EEGNet: A Transformer-Enhanced EEGNet Model for Accurate Diagnosis of Alzheimer’s Disease and Frontotemporal Dementia
Subhajit Ganguly. Lecture notes in electrical engineering, 2026. Cites: paper

Kernel smoothing method for detecting fixed and random mean change in multivariate data
Yanhong Wu, Wei Biao Wu, Dong-Yun Kim. Sequential Analysis, 2025. Cites: paper

EED-CL: Extended EEG Deformer with Contrastive Learning for Robust Emotion Recognition
Hyoung-gook Kim, Jin‐Young Kim. Bioengineering, 2025. Cites: paper

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