Brain-Computer Interfaces
Speech and handwriting neuroprostheses, high-channel-count intracortical arrays, endovascular and minimally invasive BCIs and closed-loop stimulation.
Most influential
- A high-performance speech neuroprosthesis
Speech brain-computer interfaces (BCIs) have the potential to restore rapid communication to people with paralysis by decoding neural activity evoked by attempted speaking movements into text or sound. Early demonstrations, while promising, have not yet achieved accuracies high enough for communication of unconstrainted sentences from a large vocabulary. Her…
Abstract excerpt by Francis R. Willett et al., CC-BY, https://doi.org/10.1038/s41586-023-06377-x; truncated.
Article578 citationsdoi:10.1038/s41586-023-06377-x - Brain computer interfaces, a review
A brain-computer interface (BCI) is a hardware and software communications system that permits cerebral activity alone to control computers or external devices. The immediate goal of BCI research is to provide communications capabilities to severely disabled people who are totally paralyzed or 'locked in' by neurological neuromuscular disorders, such as amyo…
Abstract excerpt by Nicolas-Alonso LF et al., CC-BY, https://doi.org/10.3390/s120201211; truncated.
Review715 citationsdoi:10.3390/s120201211 - An Accurate and Rapidly Calibrating Speech NeuroprosthesisArticle243 citationsdoi:10.1056/nejmoa2314132
- fNIRS-based brain-computer interfaces: a review
A brain-computer interface (BCI) is a communication system that allows the use of brain activity to control computers or other external devices. It can, by bypassing the peripheral nervous system, provide a means of communication for people suffering from severe motor disabilities or in a persistent vegetative state. In this paper, brain-signal generation ta…
Abstract excerpt by Naseer N et al., CC-BY, https://doi.org/10.3389/fnhum.2015.00003; truncated.
Review404 citationsdoi:10.3389/fnhum.2015.00003 - High performance communication by people with paralysis using an intracortical brain-computer interface
Brain-computer interfaces (BCIs) have the potential to restore communication for people with tetraplegia and anarthria by translating neural activity into control signals for assistive communication devices. While previous pre-clinical and clinical studies have demonstrated promising proofs-of-concept (Serruya et al., 2002; Simeral et al., 2011; Bacher et al…
Article388 citationsdoi:10.7554/elife.18554 - BCI for stroke rehabilitation: motor and beyond
Stroke is one of the leading causes of long-term disability among adults and contributes to major socio-economic burden globally. Stroke frequently results in multifaceted impairments including motor, cognitive and emotion deficits. In recent years, brain-computer interface (BCI)-based therapy has shown promising results for post-stroke motor rehabilitation.…
Abstract excerpt by Mane R et al., CC-BY, https://doi.org/10.1088/1741-2552/aba162; truncated.
Review237 citationsdoi:10.1088/1741-2552/aba162 - EEG dataset and OpenBMI toolbox for three BCI paradigms: an investigation into BCI illiteracy
Background Electroencephalography (EEG)-based brain-computer interface (BCI) systems are mainly divided into three major paradigms: motor imagery (MI), event-related potential (ERP), and steady-state visually evoked potential (SSVEP). Here, we present a BCI dataset that includes the three major BCI paradigms with a large number of subjects over multiple sess…
Abstract excerpt by Lee MH et al., CC-BY, https://doi.org/10.1093/gigascience/giz002; truncated.
Article235 citationsdoi:10.1093/gigascience/giz002 - Progress in Brain Computer Interfaces: Challenges and Trends
Brain computer interfaces (BCI) provide a direct communication link between the brain and a computer or other external devices. They offer an extended degree of freedom either by strengthening or by substituting human peripheral working capacity and have potential applications in various fields such as rehabilitation, affective computing, robotics, gaming an…
Review396 citationsarXiv:1901.03442doi:10.3389/fnsys.2021.578875 - An electrocorticographic brain interface in an individual with tetraplegia
Brain-computer interface (BCI) technology aims to help individuals with disability to control assistive devices and reanimate paralyzed limbs. Our study investigated the feasibility of an electrocorticography (ECoG)-based BCI system in an individual with tetraplegia caused by C4 level spinal cord injury. ECoG signals were recorded with a high-density 32-elec…
Article233 citationsdoi:10.1371/journal.pone.0055344 - Pathology of pain and its implications for therapeutic interventions
Pain is estimated to affect more than 20% of the global population, imposing incalculable health and economic burdens. Effective pain management is crucial for individuals suffering from pain. However, the current methods for pain assessment and treatment fall short of clinical needs. Benefiting from advances in neuroscience and biotechnology, the neuronal c…
Abstract excerpt by Cao B et al., CC-BY, https://doi.org/10.1038/s41392-024-01845-w; truncated.
Review153 citationsdoi:10.1038/s41392-024-01845-w - An instantaneous voice-synthesis neuroprosthesisArticle98 citationsdoi:10.1038/s41586-025-09127-3
- Quadcopter control in three-dimensional space using a noninvasive motor imagery-based brain-computer interface
Objective At the balanced intersection of human and machine adaptation is found the optimally functioning brain-computer interface (BCI). In this study, we report a novel experiment of BCI controlling a robotic quadcopter in three-dimensional (3D) physical space using noninvasive scalp electroencephalogram (EEG) in human subjects. We then quantify the perfor…
Abstract excerpt by LaFleur K et al., CC-BY, https://doi.org/10.1088/1741-2560/10/4/046003; truncated.
Article229 citationsdoi:10.1088/1741-2560/10/4/046003 - Noninvasive Electroencephalogram Based Control of a Robotic Arm for Reach and Grasp Tasks
Brain-computer interface (BCI) technologies aim to provide a bridge between the human brain and external devices. Prior research using non-invasive BCI to control virtual objects, such as computer cursors and virtual helicopters, and real-world objects, such as wheelchairs and quadcopters, has demonstrated the promise of BCI technologies. However, controllin…
Abstract excerpt by Meng J et al., CC-BY, https://doi.org/10.1038/srep38565; truncated.
Article216 citationsdoi:10.1038/srep38565 - The lab streaming layer for synchronized multimodal recording
Accurately recording the interactions of humans or other organisms with their environment and other agents requires synchronized data access via multiple instruments, often running independently using different clocks. Active, hardware-mediated solutions are often infeasible or prohibitively costly to build and run across arbitrary collections of input syste…
Abstract excerpt by Kothe C et al., CC-BY, https://doi.org/10.1162/imag.a.136; truncated.
Article132 citationsdoi:10.1162/imag.a.136 - Towards reconstructing intelligible speech from the human auditory cortex
Auditory stimulus reconstruction is a technique that finds the best approximation of the acoustic stimulus from the population of evoked neural activity. Reconstructing speech from the human auditory cortex creates the possibility of a speech neuroprosthetic to establish a direct communication with the brain and has been shown to be possible in both overt an…
Abstract excerpt by Hassan Akbari et al., CC-BY, https://doi.org/10.1038/s41598-018-37359-z; truncated.
Article221 citationsdoi:10.1038/s41598-018-37359-z
Newest work
- The geometry of cognition: from neural populations to neurotechnologyPreprintarXiv:2610.36541
- Neuronal Identity as an Organizational Basis for Analyzing Neural Population DynamicsPreprintarXiv:2610.36745
- MtReNIRS: A Self-Supervised Foundation Model for Transferable Neurovascular RepresentationsPreprintarXiv:2610.36159
- ORBITAL: Optimization of Robust Brain--Computer Inference Through Architecture-Aware Low-Precision CompressionPreprintarXiv:2610.36411
- From confidence to caution: conformal gating for cross-session motor imagery brain-computer interfacesArticledoi:10.1088/1741-2552/aead26
- Memory-Augmented Online Test-Time Adaptation for EEG Motor Imagery via Perturbation Consistency and Confidence CalibrationArticlearXiv:2610.30422doi:10.1109/tim.2026.3736160
- Ultra high-density, 4096-channel intraoperative neurophysiological brain mapping for functional localization of the human central sulcusArticledoi:10.1088/1741-2552/aea70f
- NeuroAct: Advancing EEG Analysis and Decoding via Dual-Loop Autonomous ResearchPreprintarXiv:2610.25211
- TriRouter: Sparse-to-Dense Electrode-Space Routing for Robust EEG Motor Imagery DecodingPreprintarXiv:2610.23665
- An exploration in mental health care: The launch of China's first psychiatric noninvasive brain-computer interface (BCI) and neuromodulation clinicArticledoi:10.1002/gps3.70069