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Classifying Electroencephalogram(EEG) signals helps in understanding Brain-Computer Interface (BCI). EEG signals are vital in studying how the human mind functions. In this paper, we have used an Arithmetic Calculation dataset consisting of…

Neurons and Cognition · Quantitative Biology 2022-09-02 Umang Goenka , Param Patil , Kush Gosalia , Aaryan Jagetia

The monaural beat is known that it can modulate brain and personal states. However, which changes in brain waves are related to changes in state is still unclear. Therefore, we aimed to investigate the effects of monaural beats and find the…

Neurons and Cognition · Quantitative Biology 2023-11-21 Ha-Na Jo , Young-Seok Kweon , Gi-Hwan Shin , Heon-Gyu Kwak , Seong-Whan Lee

Electroencephalogram (EEG) is a common tool used to understand brain activities. The data are typically obtained by placing electrodes at the surface of the scalp and recording the oscillations of currents passing through the electrodes.…

Signal Processing · Electrical Eng. & Systems 2021-02-19 Eddy Kwessi , Lloyd Edwards

Magnetoencephalography (MEG) is a cutting-edge neuroimaging technique that measures the intricate brain dynamics underlying cognitive processes with an unparalleled combination of high temporal and spatial precision. MEG data analytics has…

Neurons and Cognition · Quantitative Biology 2025-05-20 Arthur Dehgan , Hamza Abdelhedi , Vanessa Hadid , Irina Rish , Karim Jerbi

Electroencephalography (EEG) and magnetoencephalography (MEG) measure neural activity non-invasively by capturing electromagnetic fields generated by dendritic currents. Although rooted in the same biophysics, EEG and MEG exhibit distinct…

Signal Processing · Electrical Eng. & Systems 2025-10-16 Qinfan Xiao , Ziyun Cui , Chi Zhang , Siqi Chen , Wen Wu , Andrew Thwaites , Alexandra Woolgar , Bowen Zhou , Chao Zhang

During the last few years, there has been growing interest in the effects induced by individual variability on activation patterns and brain connectivity. The practical implications of individual variability is of basic relevance for both…

Signal Processing · Electrical Eng. & Systems 2020-01-29 Matteo Demuru , Matteo Fraschini

Neurostimulation using weak electric fields has generated excitement in recent years due to its potential as a medical intervention. However, study of this stimulation modality has been hampered by inconsistent results and large variability…

Neurons and Cognition · Quantitative Biology 2020-01-29 Frances Hutchings , Christopher Thornton , Chencheng Zhang , Yujiang Wang , Marcus Kaiser

Electroencephalogram (EEG) based brain-computer interface (BCI) systems are useful tools for clinical purposes like neural prostheses. In this study, we collected EEG signals related to grasp motions. Five healthy subjects participated in…

Human-Computer Interaction · Computer Science 2020-05-12 Jeong-Hyun Cho , Ji-Hoon Jeong , Seong-Whan Lee

Background: Finite element method (FEM) simulations of the electric field magnitude (EF) are commonly used to estimate the affected tissue surrounding the active contact of deep brain stimulation (DBS) leads. Previous studies have found…

Biological Physics · Physics 2021-10-12 Johannes D. Johansson

Targeted electrical stimulation of the brain perturbs neural networks and modulates their rhythmic activity both at the site of stimulation and at remote brain regions. Understanding, or even predicting, this neuromodulatory effect is…

Neurons and Cognition · Quantitative Biology 2021-06-29 Christoforos Papasavvas , Peter Neal Taylor , Yujiang Wang

The "mind-controlling" capability has always been in mankind's fantasy. With the recent advancements of electroencephalograph (EEG) techniques, brain-computer interface (BCI) researchers have explored various solutions to allow individuals…

Human-Computer Interaction · Computer Science 2021-04-15 Di Wu , Huayan Wan , Siping Liu , Weiren Yu , Zhanpeng Jin , Dakuo Wang

The neuromagnetic activity (magnetoencephalogram, MEG) from healthy human brain and from an epileptic patient against chromatic flickering stimuli has been earlier analyzed on the basis of a memory functions formalism (MFF). Information…

Medical Physics · Physics 2010-06-29 O. Yu. Panischev , S. A. Demin , J. Bhattacharya

An electroencephalogram (EEG) records the spatially averaged electrical activity of neurons in the brain, measured from the human scalp. Prior studies have explored EEG-based classification of objects or concepts, often for passive viewing…

Machine Learning · Computer Science 2026-02-25 Anupam Sharma , Harish Katti , Prajwal Singh , Shanmuganathan Raman , Krishna Miyapuram

Inferring strength and direction of interactions from electroencephalographic (EEG) recordings is of crucial importance to improve our understanding of dynamical interdependencies underlying various physiologic and pathophysiologic…

Neurons and Cognition · Quantitative Biology 2016-10-07 Klaus Lehnertz , Henning Dickten

Timely diagnosis is important for saving the life of epileptic patients. In past few years, a lot of treatments are available for epilepsy. These treatments require use of anti-seizure drugs but are not effective in controlling frequency of…

Machine Learning · Computer Science 2021-11-08 Shivam Gupta , Jyoti Meena , O. P Gupta

The subject of this work is to check how different types of music affect human emotions. While listening to music, a subjective survey and brain activity measurements were carried out using an EEG helmet. The aim is to demonstrate the…

Computer Vision and Pattern Recognition · Computer Science 2025-10-31 Jelizaveta Jankowska , Bożena Kostek , Fernando Alonso-Fernandez , Prayag Tiwari

To evaluate EEG data, one can count local maxima and minima on a fine scale, in a sliding window analysis. This straightforward calculation, which simplifies and improves previous work on permutation entropy, directly defines a good proxy…

Applications · Statistics 2017-10-03 Christoph Bandt

The term gestalt has been widely used in the field of psychology which defined the perception of human mind to group any object not in part but as a unified whole. Music in general is polytonic i.e. a combination of a number of pure tones…

Intracellular processes triggered by neural activity include changes in ionic concentrations, protein release, and synaptic vesicle cycling. These processes play significant roles in neurological disorders. The beneficial effects of brain…

Neurons and Cognition · Quantitative Biology 2024-09-26 Saeed Omidi , Gianluca Fabi , Xiaopeng Wang , James C. M. Hwang , Yevgeny Berdichevsky

Characterizing functional brain networks in humans during magnetophosphene perception. Dense electroencephalography (EEG, 128 channels) was performed in N=3 volunteers during high-level (50 mT) magnetic field (MF) exposure. Functional brain…

Neurons and Cognition · Quantitative Biology 2018-03-02 Julien Modolo , Mahmoud Hassan , Alexandre Legros