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Recent calculations further supports the premise that large-scale synchronous firings of neurons may affect molecular processes. The context is scalp electroencephalography (EEG) during short-term memory (STM) tasks. The mechanism…

Neurons and Cognition · Quantitative Biology 2016-02-03 Lester Ingber

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

Epilepsy is a neurological disorder arising from anomalies of the electrical activity in the brain, affecting about 0.5--0.8\% of the world population. Several studies investigated the relationship between seizures and brainwave…

Machine Learning · Computer Science 2018-01-25 Paolo Detti , Garazi Zabalo Manrique de Lara , Renato Bruni , Marco Pranzo , Francesco Sarnari

Electroencephalography (EEG) analysis is an important domain in the realm of Brain-Computer Interface (BCI) research. To ensure BCI devices are capable of providing practical applications in the real world, brain signal processing…

Signal Processing · Electrical Eng. & Systems 2024-08-08 Teng Liang , Andrews Damoah

Electroencephalogram (EEG) has been a core tool used in functional neuroimaging in humans for nearly a hundred years. Because it is inexpensive, easy to implement, and noninvasive, it also represents an excellent candidate modality for use…

Neurons and Cognition · Quantitative Biology 2021-11-18 PK Douglas , DB Douglas

Brain source imaging is an important method for noninvasively characterizing brain activity using Electroencephalogram (EEG) or Magnetoencephalography (MEG) recordings. Traditional EEG/MEG Source Imaging (ESI) methods usually assume that…

Applications · Statistics 2019-06-07 Feng Liu , Li Wang , Yifei Lou , Rencang Li , Patrick Purdon

The electroencephalogram (EEG) is a powerful method to understand how the brain processes speech. Linear models have recently been replaced for this purpose with deep neural networks and yield promising results. In related EEG…

Audio and Speech Processing · Electrical Eng. & Systems 2022-07-25 Lies Bollens , Tom Francart , Hugo Van Hamme

Electroencephalography (EEG) provides real-time insights into brain activity and supports diverse applications in neuroscience. While EEG foundation models (EFMs) have emerged to address the scalability issues of task-specific models,…

Machine Learning · Computer Science 2026-05-12 Jingying Ma , Feng Wu , Qika Lin , Yucheng Xing , Chenyu Liu , Ziyu Jia , Mengling Feng

Human brain activity generates scalp potentials (electroencephalography EEG), intracranial potentials (iEEG), and external magnetic fields (magnetoencephalography MEG), all capable of being recorded, often simultaneously, for use in…

Electroencephalography (EEG) signals provide critical insights for applications in disease diagnosis and healthcare. However, the scarcity of labeled EEG data poses a significant challenge. Foundation models offer a promising solution by…

Machine Learning · Computer Science 2025-02-25 Limin Wang , Toyotaro Suzumura , Hiroki Kanezashi

Electroencephalography (EEG) foundation models hold significant promise for universal Brain-Computer Interfaces (BCIs). However, existing approaches often rely on end-to-end fine-tuning and exhibit limited efficacy under frozen-probing…

Machine Learning · Computer Science 2026-03-20 Jiquan Wang , Sha Zhao , Yangxuan Zhou , Yiming Kang , Shijian Li , Gang Pan

Most brain disorders including Alzheimer's disease (AD) are related to alterations in the normal brain network organization and function. Exploring these network alterations using non-invasive and easy to use technique is a topic of great…

Neurons and Cognition · Quantitative Biology 2017-06-14 Aya Kabbara , Mahmoud Hassan , Mohamad Khalil , Wassim El Falou , Hassan Eid

Traditionally, the neuronal dynamics underlying electroencephalograms (EEG) have been understood as arising from \textit{rhythmic oscillators with varying degrees of synchronization}. This dominant metaphor employs frequency domain EEG…

Neurons and Cognition · Quantitative Biology 2023-03-15 Javier Díaz , Hiroyasu Ando , GoEun Han , Olga Malyshevskaya , Xifang Hayashi , Juan-Carlos Letelier , Masashi Yanagisawa , Kaspar E. Vogt

Unlike conventional data such as natural images, audio and speech, raw multi-channel Electroencephalogram (EEG) data are difficult to interpret. Modern deep neural networks have shown promising results in EEG studies, however finding robust…

Signal Processing · Electrical Eng. & Systems 2022-06-22 Nikesh Bajaj , Jesús Requena Carrión , Francesco Bellotti

Neural control of grasping arises from nonlinear interactions across multiple brain rhythms, yet EEG-based motor decoding has largely relied on linear, second-order spectral features. Here, we examine whether higher-order cross-frequency…

Signal Processing · Electrical Eng. & Systems 2026-02-05 Sima Ghafoori , Anna Cetera , Ali Rabiee , MH Farhadi , Rahul Singh , Mariusz Furmanek , Yalda Shahriari , Reza Abiri

Creativity is a core cognitive capacity underlying innovation and adaptive problem solving, yet how it is represented in the brain's intrinsic functional architecture is not fully understood. While resting-state fMRI studies have identified…

Neurons and Cognition · Quantitative Biology 2026-01-21 Samir Damji , Simrut Kurry , Shazia'Ayn Babul , Joydeep Bhattacharya , Naznin Virji-Babul

Electroencephalography (EEG) is one of the most common signals used to capture the electrical activity of the brain, and the decoding of EEG, to acquire the user intents, has been at the forefront of brain-computer/machine interfaces…

Machine Learning · Computer Science 2025-07-04 Haodong Zhang , Hongqi Li

Epilepsy is a chronic neurological disorder affecting more than 50 million people globally. An epileptic seizure acts like a temporary shock to the neuronal system, disrupting normal electrical activity in the brain. Epilepsy is frequently…

Neurons and Cognition · Quantitative Biology 2021-01-26 Matheus B. Guerrero , Raphaël Huser , Hernando Ombao

Electroencephalography (EEG) is a neuroimaging technique that records brain neural activity with high temporal resolution. Unlike other methods, EEG does not require prohibitively expensive equipment and can be easily set up using…

Human-Computer Interaction · Computer Science 2024-10-01 Arash Akbarinia

Subcortical structures play a critical role in brain function. However, options for assessing electrophysiological activity in these structures are limited. Electromagnetic fields generated by neuronal activity in subcortical structures can…