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A brain-computer interface (BCI) is a system that allows a person to communicate or control the surroundings without depending on the brain's normal output pathways of peripheral nerves and muscles. A lot of successful applications have…

Human-Computer Interaction · Computer Science 2023-07-18 Ce Zhou

Transcranial direct current stimulation (tDCS) has emerged as a promising non-invasive therapeutic intervention for major depressive disorder (MDD), yet its effects on neural mechanisms remain incompletely understood. This study…

Quantitative Methods · Quantitative Biology 2025-04-29 Vishwani Singh , Rohit Verma , Shaurya Shriyam , Tapan K. Gandhi

We present a real-time visualization system for Transcranial Magnetic Stimulation (TMS), a non-invasive neuromodulation technique for treating various brain disorders and mental health diseases. Our solution targets the current challenges…

Signal Processing · Electrical Eng. & Systems 2024-03-14 Loraine Franke , Tae Young Park , Jie Luo , Yogesh Rathi , Steve Pieper , Lipeng Ning , Daniel Haehn

We present a quantitative study of phase entrainment by periodic visual stimuli in a biologically inspired neural network. The objective is to understand the neuronal population dynamics that underlie phase entrainment of brain oscillations…

Neurons and Cognition · Quantitative Biology 2021-11-16 Swapna Sasi , Basabdatta Sen Bhattacharya

Transcranial Electrical Stimulation (TCES) and Deep Brain Stimulation (DBS) are two different applications of electrical current to the brain used in different areas of medicine. Both have a similar frequency dependence of their efficiency,…

Neurons and Cognition · Quantitative Biology 2019-07-15 Markus Schütt , Jens Christian Claussen

Steady-State Visual Evoked Potentials (SSVEPs) are neural oscillations from the parietal and occipital regions of the brain that are evoked from flickering visual stimuli. SSVEPs are robust signals measurable in the electroencephalogram…

In brain-computer interface (BCI) systems, steady-state visual evoked potentials (SSVEP) and P300 responses have achieved widespread implementation owing to their superior information transfer rates (ITR) and minimal training requirements.…

Information Retrieval · Computer Science 2025-09-22 Ekgari Kasawala , Surej Mouli

A brain-computer interface (BCI) facilitates direct communication between the brain and external equipment through EEG, which is preferred for its superior temporal resolution. Among EEG techniques, the steady-state visual evoked potential…

Human-Computer Interaction · Computer Science 2025-04-22 Saif Bashar , Samia Nasir Nira , Shabbir Mahmood , Md. Humaun Kabir , Sujit Roy , Iffat Farhana

Brain-computer interfaces (BCIs) offer a way to interact with computers without relying on physical movements. Non-invasive electroencephalography (EEG)-based visual BCIs, known for efficient speed and calibration ease, face limitations in…

Human-Computer Interaction · Computer Science 2023-11-22 Changxing Huang , Nanlin Shi , Yining Miao , Xiaogang Chen , Yijun Wang , Xiaorong Gao

Procrastination represents one of the most prevalent behavioral problems associated with individual health and societal productivity. Despite its high prevalence and substantial impact on daily functioning, its underlying neurocognitive…

Neurons and Cognition · Quantitative Biology 2026-05-15 Zhiyi Chen , Zhilin Ren , Wei Li , ZhenZhen Huo , ZhuangZheng Wang , Ye Liu , Bowen Hu , Wanting Chen , Ting Xu , Artemiy Leonov , Chenyan Zhang , Bernhard Hommel , Tingyong Feng

Synaptic connections in neuronal circuits are modulated by pre- and post-synaptic spiking activity. Heuristic models of this process of synaptic plasticity can provide excellent fits to results from in-vitro experiments in which pre- and…

Neurons and Cognition · Quantitative Biology 2022-07-14 Federico Devalle , Alex Roxin

Running title: Frontoparietal anodal tDCS reduces ketamine-induced oscillopathies.Abstract: During the prodromal phase of schizophrenia with its complex and insidious clinical picture, electroencephalographic recordings detect widespread…

Neurons and Cognition · Quantitative Biology 2020-10-14 Caroline Lahogue , Didier Pinault

Neuromorphic computing, inspired by the brain's parallel and energy-efficient processing, offers a transformative approach to artificial intelligence. In this study, we fabricated optimized spin-transfer torque nano-oscillators (STNOs) and…

Predicting and understanding the changes in cognitive performance, especially after a longitudinal intervention, is a fundamental goal in neuroscience. Longitudinal brain stimulation-based interventions like transcranial direct current…

Human-Computer Interaction · Computer Science 2024-02-01 Akash K Rao , Shashank Uttrani , Vishnu K Menon , Darshil Shah , Arnav Bhavsar , Shubhajit Roy Chowdhury , Varun Dutt

We hypothesized that rhythmic motor acts entrain neural oscillations in speech production brain regions. We tested this hypothesis in an experiment where a subject produced consonant-vowel (CV) syllables in a rhythmic fashion, while we…

Neurons and Cognition · Quantitative Biology 2016-06-09 Joaquin Rapela

Traffic congestion in urban areas is a significant problem, leading to prolonged travel times, reduced efficiency, and increased environmental concerns. Effective traffic signal control (TSC) is a key strategy for reducing congestion.…

Systems and Control · Electrical Eng. & Systems 2025-05-27 Maonan Wang , Yirong Chen , Yuheng Kan , Chengcheng Xu , Michael Lepech , Man-On Pun , Xi Xiong

Background and Objective: Transcranial temporal interference stimulation (tTIS) is a promising non-invasive brain stimulation technique in which interference between electrical current fields extends the possibilities of electrical brain…

Numerical Analysis · Mathematics 2026-02-05 Santtu Söderholm , Maryam Samavaki , Sampsa Pursiainen

Concurrency of transcranial magnetic stimulation with electroencephalography (TMS-EEG) technique is a powerful and challenging methodology for basic research and clinical applications. Aspects considered in experiments for effective TMS-EEG…

Neurons and Cognition · Quantitative Biology 2024-03-18 Hua Cheng

Patients with motor dysfunction show low subjective engagement in rehabilitation training. Traditional SSVEP-based brain-computer interface (BCI) systems rely heavily on external visual stimulus equipment, limiting their practicality in…

Machine Learning · Computer Science 2025-12-09 Lin Yang , Xiang Li , Xin Ma , Xinxin Zhao

Objective: Transcranial direct current stimulation (tDCS) is a non-invasive brain stimulation technique used to generate conduction currents in the head and disrupt brain functions. To rapidly evaluate the tDCS-induced current density in…

Quantitative Methods · Quantitative Biology 2022-10-07 Xiaofan Jia , Sadeed Bin Sayed , Nahian Ibn Hasan , Luis J. Gomez , Guang-Bin Huang , Abdulkadir C. Yucel