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Electroencephalography signals allow to explore the functional activity of the brain cortex in a non-invasive way. However, the analysis of these signals is not straightforward due to the presence of different artifacts and the very low…

Neurons and Cognition · Quantitative Biology 2022-01-24 Nicolás Gallego-Molina , Marco Formoso , Andrés Ortiz , Francisco J. Martínez-Murcia , Juan L. Luque

Human learning is a complex process in which future behavior is altered via the reorganization of brain activity and connectivity. It remains unknown whether activity and connectivity differentially reorganize during learning, and, if so,…

Reading comprehension is a complex cognitive process involving many human brain activities. Plenty of works have studied the patterns and attention allocations of reading comprehension in information retrieval related scenarios. However,…

Information Retrieval · Computer Science 2022-08-18 Ziyi Ye , Xiaohui Xie , Yiqun Liu , Zhihong Wang , Xuesong Chen , Min Zhang , Shaoping Ma

Historically, the analysis of stimulus-dependent time-frequency patterns has been the cornerstone of most electroencephalography (EEG) studies. The abnormal oscillations in high-frequency waves associated with psychotic disorders during…

Neurons and Cognition · Quantitative Biology 2023-01-05 Sadi Md. Redwan , Md Palash Uddin , Anwaar Ulhaq , Muhammad Imran Sharif

Simultaneous electrocardiography (ECG) and phonocardiogram (PCG) provide a comprehensive, multimodal perspective on cardiac function by capturing the heart's electrical and mechanical activities, respectively. However, the distinct and…

Machine Learning · Computer Science 2025-06-13 Sajjad Karimi , Amit J. Shah , Gari D. Clifford , Reza Sameni

We analyse the electroencephalogram signals in the beta band of working memory representation recorded from young healthy volunteers performing several different Visual Short-Term Memory (VSTM) tasks which have proven useful in the…

Neurons and Cognition · Quantitative Biology 2016-04-11 Keith Smith , Hamed Azami , Mario A. Parra , Javier Escudero , John M. Starr

Resting-state brain networks represent the intrinsic state of the brain during the majority of cognitive and sensorimotor tasks. However, no study has yet presented concise predictors of task-induced vigilance variability from…

Signal Processing · Electrical Eng. & Systems 2019-10-23 Mastaneh Torkamani-Azar , Sumeyra Demir Kanik , Serap Aydin , Mujdat Cetin

Characterizing the brain dynamics during different cortical states can reveal valuable information about its patterns across various cognitive processes. In particular, studying the differences between awake and sleep stages can shed light…

Modern lifestyles contribute to insufficient sleep, impairing cognitive function and weakening the immune system. Sleep quality (SQ) is vital for physiological and mental health, making its understanding and accurate assessment critical.…

Human-Computer Interaction · Computer Science 2025-11-20 Gi-Hwan Shin

Auditory stimulation of EEG slow waves (SW) during non-rapid eye movement (NREM) sleep has shown to improve cognitive function when it is delivered at the up-phase of SW. SW enhancement is particularly desirable in subjects with…

Brain responses related to working memory originate from distinct brain areas and oscillate at different frequencies. EEG signals with high temporal correlation can effectively capture these responses. Therefore, estimating the functional…

Machine Learning · Computer Science 2024-05-01 Harshini Gangapuram , Vidya Manian

Brain encoding and decoding aims to understand the relationship between external stimuli and brain activities, and is a fundamental problem in neuroscience. In this article, we study latent embedding alignment for brain encoding and…

Methodology · Statistics 2026-03-24 Shuoxun Xu , Zhanhao Yan , Lexin Li

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

Complex network analysis has an increasing relevance in the study of neurological disorders, enhancing the knowledge of brain's structural and functional organization. Network structure and efficiency reveal different brain states along…

Neurons and Cognition · Quantitative Biology 2022-01-24 Nicolás J. Gallego-Molina , Andrés Ortiz , Francisco J. Martínez-Murcia , Marco Formoso , Almudena Giménez

Generative AI has recently propelled the decoding of images from brain activity. How do these approaches scale with the amount and type of neural recordings? Here, we systematically compare image decoding from four types of non-invasive…

Image and Video Processing · Electrical Eng. & Systems 2025-01-29 Hubert Banville , Yohann Benchetrit , Stéphane d'Ascoli , Jérémy Rapin , Jean-Rémi King

Background: Dementia, particularly Alzheimer's Disease (AD), is a progressive neurodegenerative disorder marked by cognitive decline. Early detection, especially at the Mild Cognitive Impairment (MCI) stage, is essential for timely…

Signal Processing · Electrical Eng. & Systems 2025-10-16 Shivani Ranjan , Anant Jain , Robin Badal , Amit Kumar , Harshal Shende , Deepak Joshi , Pramod Yadav , Lalan Kumar

The aim of the study is to investigate the complex mechanisms of speech perception and ultimately decode the electrical changes in the brain accruing while listening to speech. We attempt to decode heard speech from intracranial…

Human-Computer Interaction · Computer Science 2025-01-28 Milán András Fodor , Tamás Gábor Csapó , Frigyes Viktor Arthur

Frequency-specific patterns of neural activity are traditionally interpreted as sustained rhythmic oscillations, and related to cognitive mechanisms such as attention, high level visual processing or motor control. While alpha waves (8-12…

Signal Processing · Electrical Eng. & Systems 2018-05-29 Tom Dupré La Tour , Thomas Moreau , Mainak Jas , Alexandre Gramfort

Brain activity following stimulus presentation and during resting state are often the result of highly coordinated responses of large numbers of neurons both locally and globally. Coordinated activity of neurons can give rise to…

Applications · Statistics 2015-07-20 Carolina Euan , Hernando Ombao , Joaquin Ortega

Electroencephalography (EEG) signals are crucial for investigating brain function and cognitive processes. This study aims to address the challenges of efficiently recording and analyzing high-dimensional EEG signals while listening to…

Machine Learning · Computer Science 2024-08-23 Jingyi Wang , Zhiqun Wang , Guiran Liu