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Objective: The Electroencephalogram (EEG) is gaining popularity as a physiological measure for neuroergonomics in human factor studies because it is objective, less prone to bias, and capable of assessing the dynamics of cognitive states.…

Human-Computer Interaction · Computer Science 2023-05-16 Kuan-Jung Chiang , Steven Dong , Chung-Kuan Cheng , Tzyy-Ping Jung

The assessment of consciousness and unconsciousness is a challenging issue in modern neuroscience. Consciousness is closely related to memory consolidation in that memory is a critical component of conscious experience. So far, many studies…

Signal Processing · Electrical Eng. & Systems 2020-05-19 Gi-Hwan Shin , Minji Lee , Seong-Whan Lee

This study examines the impact of feedback on Electroencephalography (EEG) activity and performance during the Reading the Mind in the Eyes Test. In a within-subject design, eleven participants completed the test under Feedback and…

Human-Computer Interaction · Computer Science 2026-01-12 Behdokht Kiafar , Mohammad Fahim Abrar , Roghayeh Leila Barmaki

Many studies have analyzed working memory (WM) from electroencephalogram (EEG). However, little is known about changes in the brain neurodynamics among resting-state (RS) according to the WM process. Here, we identified frequency-specific…

Neurons and Cognition · Quantitative Biology 2022-12-13 Gi-Hwan Shin , Young-Seok Kweon , Heon-Gyu Kwak

Our ability to track multiple objects in a dynamic environment enables us to perform everyday tasks such as driving, playing team sports, and walking in a crowded mall. Despite more than three decades of literature on multiple object…

Neurons and Cognition · Quantitative Biology 2022-08-01 Yannick Roy , Jocelyn Faubert

Many studies have discussed the difference in brain activity related to encoding and retrieval of working memory (WM) tasks. However, it remains unclear if there is a change in brain activation associated with re-encoding. The main…

Neurons and Cognition · Quantitative Biology 2021-12-14 Gi-Hwan Shin , Young-Seok Kweon

Many studies have explored brain signals during the performance of a memory task to predict later remembered items. However, prediction methods are still poorly used in real life and are not practical due to the use of…

Signal Processing · Electrical Eng. & Systems 2020-05-11 Jenifer Kalafatovich , Minji Lee , Seong-Whan Lee

This study investigated the neural dynamics associated with short-term exposure to different virtual classroom designs with different window placement and room dimension. Participants engaged in five brief cognitive tasks in each design…

Human-Computer Interaction · Computer Science 2021-02-09 Jesus G. Cruz-Garza , Michael Darfler , James D. Rounds , Elita Gao , Saleh Kalantari

In the status quo, dementia is yet to be cured. Precise diagnosis prior to the onset of the symptoms can prevent the rapid progression of the emerging cognitive impairment. Recent progress has shown that Electroencephalography (EEG) is the…

Electroencephalography (EEG) signals signals are often used to learn about brain structure and to learn what thinking. EEG signals can be easily affected by external factors. For this reason, they should be applied various pre-process…

Neurons and Cognition · Quantitative Biology 2021-01-26 Enver Kaan Alpturk , Yakup Kutlu

The interactions between the brain and heart during sleep are responsible for regulating autonomic function. While brain-heart coupling has been studied in healthy populations, the relationships between neural and cardiac activity across…

Human-Computer Interaction · Computer Science 2026-01-27 Jathushan Kaetheeswaran , Jenny Wei

Communication delays in mobile robot teleoperation adversely affect human-machine collaboration. Understanding delay effects on human operational performance and neurocognition is essential for resolving this issue. However, no previous…

Robotics · Computer Science 2025-08-26 Zhaokun Chen , Wenshuo Wang , Wenzhuo Liu , Yichen Liu , Junqiang Xi

Background: Despite similar education and background, programmers can exhibit vast differences in efficacy. While research has identified some potential factors, such as programming experience and domain knowledge, the effect of these…

Software Engineering · Computer Science 2023-03-14 Norman Peitek , Annabelle Bergum , Maurice Rekrut , Jonas Mucke , Matthias Nadig , Chris Parnin , Janet Siegmund , Sven Apel

Understanding of neuro-dynamics of a complex higher cognitive process, Working Memory (WM) is challenging. In WM, information processing occurs through four subsystems: phonological loop, visual sketch pad, memory buffer and central…

Signal Processing · Electrical Eng. & Systems 2020-03-13 Pankaj , Jamuna Rajeswaran , Divya Sadana

Sleep is essential for learning and cognition, but the mechanisms by which it stabilizes learning, supports creativity, and manages the energy consumption of networks engaged in post-sleep task have not been yet modelled. During sleep, the…

The auto feature extraction capability of deep neural networks (DNN) endows them the potentiality for analysing complicated electroencephalogram (EEG) data captured from brain functionality research. This work investigates the potential…

Neurons and Cognition · Quantitative Biology 2021-02-23 Yurui Ming

This study aimed to analyze brain activity during various STEM activities, exploring the feasibility of classifying between different tasks. EEG brain data from twenty subjects engaged in five cognitive tasks were collected and segmented…

Signal Processing · Electrical Eng. & Systems 2024-01-22 Ryan Cho , Mobasshira Zaman , Kyu Taek Cho , Jaejin Hwang

Understanding the correlation between EEG features and cognitive tasks is crucial for elucidating brain function. Brain activity synchronizes during speaking and listening tasks. However, it is challenging to estimate task-dependent brain…

Neurons and Cognition · Quantitative Biology 2024-10-01 Dai Shimizu , Ko Watanabe , Andreas Dengel

Declarative memory has been studied for its relationship with remembering daily life experiences. Previous studies reported changes in power spectra during encoding phase related to behavioral performance, however decoding phase still needs…

Neural and Evolutionary Computing · Computer Science 2020-02-05 Jenifer Kalafatovich , Minji Lee

Studies in recent years have demonstrated that neural organization and structure impact an individual's ability to perform a given task. Specifically, individuals with greater neural efficiency have been shown to outperform those with less…

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