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Related papers: tACS Facilitates Flickering Driving by Boosting St…

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The present study evaluated the effectiveness of transcranial alternating current stimulation (tACS) treating patients with post-stroke anomia using a picture-naming task and a Single-Case Experimental Design (SCED). A right-handed…

Neurons and Cognition · Quantitative Biology 2026-05-12 Maria Martzoukou , Nefeli K. Dimitriou , Binbin Xu , Malo Renaud-D'Ambra , Anastasia Nousia , Anne Beuter , Grigorios Nasios

Transcranial alternating current stimulation (tACS) is becoming an important method in the field of motor rehabilitation because of its ability to non-invasively influence ongoing brain oscillations at arbitrary frequencies. However,…

Neurons and Cognition · Quantitative Biology 2021-04-13 Atalanti A. Mastakouri , Bernhard Schölkopf , Moritz Grosse-Wentrup

Transcranial direct current stimulation (tDCS) is known to have a modulatory effect on neural tissue and that it is polarity specific. It is also shown that tDCS demonstrated the lasting effect in therapeutic applications. The main aim of…

Neurons and Cognition · Quantitative Biology 2018-12-05 Milena Cukic , Miodrag Stokic , Slavoljub Radenkovic , Milos Ljubisavljevic , Dragoljub Donald Pokrajac

The use of small amplitude electric currents delivered through the scalp, termed transcranial current stimulation (tCS, tDCS / tACS when using DC / AC currents) holds considerable promise for developing safe and effective treatments for…

Neurons and Cognition · Quantitative Biology 2024-10-10 Julien Modolo , Mengsen Zhang , Joan Duprez , Flavio Frohlich

Non-invasive brain stimulation, such as transcranial alternating current stimulation (tACS) provides a powerful tool to directly modulate brain oscillations that mediate complex cognitive processes. While the body of evidence about the…

A code-modulated motion visual evoked potential (c-MVEP) for brain-computer interfacing (BCI) is presented in this study. This paradigm uses pseudo-random sequences to visually stimulate objects using motion as an alternative to flickering.…

Neurons and Cognition · Quantitative Biology 2026-05-18 Hanneke Scheppink , Rainer Herpers , Jordy Thielen , Ivan Volosyak

Stochastic Resonance (SR) describes a phenomenon where an additive noise (stochastic carrier-wave) enhances the signal transmission in a nonlinear system. In the nervous system, nonlinear properties are present from the level of single ion…

Signal Processing · Electrical Eng. & Systems 2023-10-09 Weronika Potok , Onno van der Groen , Sahana Sivachelvam , Marc Bächinger , Flavio Fröhlich , Laszlo B. Kish , Nicole Wenderoth

We proposed a novel visual stimulus for brain-computer interface. The stimulus is in the form gaiting sequence of a human. The hypothesis is that observing such a visual stimulus would simultaneously induce 1) steady-state motion visual…

Signal Processing · Electrical Eng. & Systems 2021-03-11 Xin Zhang , Guanghua Xu , Aravind Ravi , Sarah Pearce , Ning Jiang

The steady-state visual evoked potential (SSVEP) is one of the most widely used modalities in brain-computer interfaces (BCIs) due to its many advantages. However, the existence of harmonics and the limited range of responsive frequencies…

Neurons and Cognition · Quantitative Biology 2021-08-12 Jing Mu , David B. Grayden , Ying Tan , Denny Oetomo

Brain-Computer Interfaces (BCIs) implement a direct communication pathway between the brain of an user and an external device, as a computer or a machine in general. One of the most used brain responses to implement non-invasive BCIs is the…

Human-Computer Interaction · Computer Science 2016-11-16 Enrico Calore

Acquisition of fine motor skills is a time-consuming process as it requires frequent repetitions. Transcranial electrical stimulation is a promising means of enhancing simple motor skill development via neuromodulatory mechanisms. Here, we…

Whether transcranial direct current stimulation (tDCS) benefits stroke rehabilitation remains unclear. To investigate how tDCS reorganizes brain circuitry, nineteen post-stroke patients underwent rehabilitation sessions with bi-hemispheric…

Brain-Computer Interfaces (BCIs) based on Steady State Visually Evoked Potentials (SSVEPs) have proven effective and provide significant accuracy and information-transfer rates. This family of strategies, however, requires external devices…

Signal Processing · Electrical Eng. & Systems 2022-04-26 Arturo Micheli , Davide Consoli , Adrien Merlini , Paolo Ricci , Francesco P. Andriulli

Recent advancements in Electroencephalography (EEG) sensor technologies and signal processing algorithms have paved the way for further evolution of Brain Computer Interfaces (BCI). When it comes to Signal Processing (SP) for BCI, there has…

Signal Processing · Electrical Eng. & Systems 2022-01-04 Raika Karimi , Arash Mohammadi , Amir Asif , Habib Benali

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…

Traffic signal control systems (TSCSs) are integral to intelligent traffic management, fostering efficient vehicle flow. Traditional approaches often simplify road networks into standard graphs, which results in a failure to consider the…

Multiagent Systems · Computer Science 2025-04-04 Kang Wang , Zhishu Shen , Zhen Lei , Tiehua Zhang

The primary motor cortex appears to be in the center of transcranial magnetic stimulation (TMS). It is one of few locations that provide directly observable responses, and its physiology serves as model or reference for almost all other TMS…

Neurons and Cognition · Quantitative Biology 2025-07-08 Maryam Farahmandrad , Stefan Goetz

Electro-cortical activity in patients with epilepsy may show abnormal rhythmic transients in response to stimulation. Even when using the same stimulation parameters in the same patient, wide variability in the duration of transient…

Neurons and Cognition · Quantitative Biology 2017-05-08 Gerold Baier , Peter N Taylor , Yujiang Wang

Objective: This paper proposes a novel type of stimulus in the shape of sinusoidal gratings displayed with an imperceptibly high-frequency motion. The stimulus has been designed for use in BCI (Brain Computer Interface) applications that…

Human-Computer Interaction · Computer Science 2024-05-20 Bartu Atabek , Efecan Yilmaz , Cengiz Acarturk , Murat Perit Cakir

Slow oscillations are electrical potential oscillations with a spectral peak frequency of $\sim$0.8 Hz, and hallmark the electroencephalogram during slow-wave sleep. Recent studies have indicated a causal contribution of slow oscillations…

Neurons and Cognition · Quantitative Biology 2014-07-31 Hong-Viet V. Ngo , Jens Christian Claussen , Jan Born , Matthias Mölle
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