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The application of psychophysiology in human-computer interaction is a growing field with significant potential for future smart personalised systems. Working in this emerging field requires comprehension of an array of physiological…

Human-Computer Interaction · Computer Science 2016-09-06 Lauri Ahonen , Benjamin Cowley

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

Cyborg in the brain-machine interface field has attracted more attention in recent years. To control a creature via a machine called cyborg method, three stages are considerable: stimulation of neurons, neural response, and the behavioral…

Biological Physics · Physics 2019-05-01 Mohammad Jamali , Yousef Jamali , Mehdi Golshani

Many applications use electrostimulation of the human skin to provide tactile sensation. The effect of electrotactile stimulations were studied on a 6x6 matrix of tactile electrodes placed on the anterior part of the tongue. The liminary…

Medical Physics · Physics 2007-12-04 Fabien Robineau , Nicolas Vuillerme , Jean-Pierre Orliaguet , Yohan Payan

Low-intensity transcranial focused ultrasound (tFUS) is rapidly emerging as a transformative non-invasive brain stimulation (NIBS) modality characterized by high spatial resolution and ability to target deep brain circuits. Unlike…

Neurons and Cognition · Quantitative Biology 2026-04-02 William J. Tyler

The Electro-Encephalo-Graphy (EEG) technique consists of estimating the cortical distribution of signals over time of electrical activity and also of locating the zones of primary sensory projection. Moreover, it is able to record…

Signal Processing · Electrical Eng. & Systems 2021-12-02 Ridha jarray , Abir Hadriche , Cokri ben Amar , Nawel Jmail

Transcranial magnetic stimulation (TMS) is widely used for understanding brain function in neurologically intact subjects and for the treatment of various disorders. However, the precise neurophysiological effects of TMS at the site of…

Neurons and Cognition · Quantitative Biology 2021-10-27 Farshad Rafiei , Dobromir Rahnev

Objective: Numerical modeling of electric fields induced by transcranial alternating current stimulation (tACS) is currently a part of the standard procedure to predict and understand neural response. Quasi-static approximation for electric…

Accurate neuronavigation is critical for effective transcranial magnetic stimulation (TMS), as stimulation outcomes depend directly on precise coil placement. Existing neuronavigation systems are often costly, complex, and prone to tracking…

Human-Computer Interaction · Computer Science 2026-01-26 Xuyi Hu , Ke Ma , Siwei Liu , Per Ola Kristensson , Stefan Goetz

EEG is a non-invasive, safe, and low-risk method to record electrophysiological signals inside the brain. Especially with recent technology developments like dry electrodes, consumer-grade EEG devices, and rapid advances in machine…

Machine Learning · Computer Science 2025-06-23 Tri Duc Ly , Gia H. Ngo

Multichannel transcranial current stimulation (tCS) systems offer the possibility of EEG-guided optimized, non-invasive brain stimulation. In this brief technical note I explain how it is possible to use tCS electric field realistic brain…

Biological Physics · Physics 2015-06-19 Giulio Ruffini

Essential Tremor is the most common neurological movement disorder. This progressive disease causes uncontrollable rhythmic motions -most often affecting the patient's dominant upper extremity- that occur during volitional movement and make…

Neurons and Cognition · Quantitative Biology 2017-06-02 Jeffrey A. Herron , Margaret C. Thompson , Timothy Brown , Howard J. Chizeck , Jeffrey G. Ojemann , Andrew L. Ko

Decoding natural language from brain activity using non-invasive electroencephalography (EEG) remains a significant challenge in neuroscience and machine learning, particularly for open-vocabulary scenarios where traditional methods…

Machine Learning · Computer Science 2025-06-19 Mohamed Masry , Mohamed Amen , Mohamed Elzyat , Mohamed Hamed , Norhan Magdy , Maram Khaled

Transcranial photobiomodulation is an optical method for non-invasive brain stimulation. The method projects red and near-infrared light through the scalp within 600-1100 nm and low energy within the 1-20 J/cm2 range. Recent studies have…

Numerical Analysis · Mathematics 2022-12-12 Faezeh Ibrahimi , Mehdi Delrobaei

We introduce Teegi, a Tangible ElectroEncephaloGraphy (EEG) Interface that enables novice users to get to know more about something as complex as brain signals, in an easy, en- gaging and informative way. To this end, we have designed a new…

Human-Computer Interaction · Computer Science 2014-12-05 Jérémy Frey , Renaud Gervais , Stéphanie Fleck , Fabien Lotte , Martin Hachet

Objective: We present magnetomyograms (MMG) of TMS-evoked movement in a human hand, together with a simultaneous surface electromyograph (EMG) and electroencephalograph (EEG) data. Approach: We combined TMS with non-contact magnetic…

Optical or electrical stimulation of neural circuits in mice during natural behavior is an important paradigm for studying brain function. Conventional systems for optogenetics and electrical microstimulation require tethers or large…

Neurons and Cognition · Quantitative Biology 2015-08-21 John S. Ho , Yuji Tanabe , Shrivats Mohan Iyer , Amelia J. Christensen , Logan Grosenick , Karl Deisseroth , Scott L. Delp , Ada S. Y. Poon

During brain function, groups of neurons fire synchronously. When these groups are large enough, the resulting electrical signals can be measured on the scalp using Electroencephalography (EEG). The amplitude of these signals can be…

Neurons and Cognition · Quantitative Biology 2025-02-05 Jesus Acosta-Elias , Santiago Mendez-Moreno , Omar Vital-Ochoa , Ricardo Espinosa-Tanguma

The analysis of brain connectivity aims to understand the emergence of functional networks into the brain. This information can be used in the process of electroencephalographic (EEG) signal analysis and classification for a braincomputer…

Neurons and Cognition · Quantitative Biology 2020-07-28 J. A. Gaxiola-Tirado

Temporal Interference Stimulation (TIS) is a non-invasive neuromodulation technique in which two high-frequency sinusoidal currents with slightly different frequencies generate a low-frequency envelope that can activate deep neural…

Dynamical Systems · Mathematics 2026-05-19 Esteban Paduro , Antoine Chaillet , Mario Sigalotti