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Multiple Sclerosis (MS) is a heterogeneous autoimmune-mediated disorder affecting the central nervous system, commonly manifesting as fatigue and progressive limb impairment. This can significantly impact quality of life due to weakness or…

Neurons and Cognition · Quantitative Biology 2024-12-02 John S. Russo , Thomas A. Shiels , Chin-Hsuan Sophie Lin , Sam E. John , David B. Grayden

This study introduces a pioneering approach in brain-computer interface (BCI) technology, featuring our novel concept of complex visual imagery for non-invasive electroencephalography (EEG)-based communication. Complex visual imagery, as…

Human-Computer Interaction · Computer Science 2025-11-20 Byoung-Hee Kwon

Reliable spike detection and sorting, the process of assigning each detected spike to its originating neuron, is an essential step in the analysis of extracellular electrical recordings from neurons. The volume and complexity of the data…

Neurons and Cognition · Quantitative Biology 2018-09-05 Matthias H. Hennig , Cole Hurwitz , Martino Sorbaro

Stacked intelligent metasurface (SIM) is an emerging design that consists of multiple layers of metasurfaces. A SIM enables holographic multiple-input multiple-output (HMIMO) precoding in the wave domain, which results in the reduction of…

Reliance on wheelchairs after spinal cord injury (SCI) leads to many medical co-morbidities. Treatment of these conditions contributes to the majority of SCI health care costs. Restoring able-body-like ambulation after SCI may reduce the…

Human-Computer Interaction · Computer Science 2015-03-13 An H. Do , Po T. Wang , Christine E. King , Sophia N. Chun , Zoran Nenadic

The advent of large-scale and high-density extracellular recording devices allows simultaneous recording from thousands of neurons. However, the complexity and size of the data makes it mandatory to develop robust algorithms for fully…

Neurons and Cognition · Quantitative Biology 2019-12-03 Gerrit Hilgen

This study introduces a pioneering approach in brain-computer interface (BCI) technology, featuring our novel concept of high-level visual imagery for non-invasive electroencephalography (EEG)-based communication. High-level visual imagery,…

Human-Computer Interaction · Computer Science 2025-11-03 Byoung-Hee Kwon , Minji Lee , Seong-Whan Lee

Invasive brain-computer interface (BCI) technology has demonstrated the possibility of restoring brain-controlled walking in paraplegic spinal cord injury patients. However, current implementations of BCI-controlled walking still have…

Controlling the surrounding world and predicting future events has always seemed like a dream, but that could become a reality using a Brain-Computer/Machine Interface (BCI/BMI). Epilepsy is a group of neurological diseases characterized by…

Signal Processing · Electrical Eng. & Systems 2019-06-10 Zaghloul Saad Zaghloul , Magdy Bayoumi

Imagine unlocking the power of the mind to communicate, create, and even interact with the world around us. Recent breakthroughs in Artificial Intelligence (AI), especially in how machines "see" and "understand" language, are now fueling…

Modeling invasive neural spike data is fundamental to advancing high-performance brain-computer interfaces (BCIs). However, existing approaches face critical challenges, including limited-scale heterogeneous data, cross-domain distribution…

Neural and Evolutionary Computing · Computer Science 2026-05-04 Binjie Hong , Rui Xiong , Liyuan Han , Tielin Zhang

The mission of visual brain-computer interfaces (BCIs) is to enhance information transfer rate (ITR) to reach high speed towards real-life communication. Despite notable progress, noninvasive visual BCIs have encountered a plateau in ITRs,…

Human-Computer Interaction · Computer Science 2023-08-28 Nanlin Shi , Yining Miao , Changxing Huang , Xiang Li , Yonghao Song , Xiaogang Chen , Yijun Wang , Xiaorong Gao

Brain--computer interfaces are groundbreaking technology whereby brain signals are used to control external devices. Despite some advances in recent years, electroencephalogram (EEG)-based motor-imagery tasks face challenges, such as…

Human-Computer Interaction · Computer Science 2025-02-26 Jianchao Lu , Yuzhe Tian , Yang Zhang , Quan Z. Sheng , Xi Zheng

Brain--computer interfaces are groundbreaking technology whereby brain signals are used to control external devices. Despite some advances in recent years, electroencephalogram (EEG)-based motor-imagery tasks face challenges, such as…

Machine Learning · Computer Science 2025-03-11 Jianchao Lu , Yuzhe Tian , Yang Zhang , Quan Z. Sheng , Xi Zheng

Brain-computer interfaces (BCIs) enable users to interact with the external world using brain activity. Despite their potential in neuroscience and industry, BCI performance remains inconsistent in noninvasive applications, often…

Neurons and Cognition · Quantitative Biology 2024-07-17 Juliana Gonzalez-Astudillo , Fabrizio De Vico Fallani

A brain-computer interface (BCI) is a system that allows a human operator to use only mental commands in controlling end effectors that interact with the world around them. Such a system consists of a measurement device to record the human…

Signal Processing · Electrical Eng. & Systems 2022-05-31 Gregory Canal , Yancy Diaz-Mercado , Magnus Egerstedt , Christopher Rozell

We propose to fuse two currently separate research lines on novel therapies for stroke rehabilitation: brain-computer interface (BCI) training and transcranial electrical stimulation (TES). Specifically, we show that BCI technology can be…

Brain-computer interface (BCI) builds a bridge between human brain and external devices by recording brain signals and translating them into commands for devices to perform the user's imagined action. The core of the BCI system is the…

Methodology · Statistics 2025-07-08 Jingyi Zheng , Huajun Huang , Yuyan Yi , Yuexin Li , Shu-Chin Lin

Efficient communication is central to both biological and artificial intelligence (AI) systems. In biological brains, the challenge of long-range communication across regions is addressed through sparse, spike-based signaling, minimizing…

Hardware Architecture · Computer Science 2025-04-15 Joshua Nardone , Ruijie Zhu , Joseph Callenes , Mohammed E. Elbtity , Ramtin Zand , Jason Eshraghian

One of the greatest goals of neuroscience in recent decades has been to rehabilitate individuals who no longer have a functional relationship between their mind and their body. Although neuroscience has produced technologies which allow the…

Human-Computer Interaction · Computer Science 2021-07-02 Samuel Kuhn , Nathan George
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