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• How pain fools everyone: An inference to the best explanation.
  pubmed Key B, Brown DJ 2025 Oct 置信度 0.82
• Brain and behavior share features of a critical state dynamics.
  pubmed Yadav CK, Doreswamy Y 2025 Oct 置信度 0.82
• Emergent technologies in clinical neurophysiology to study the central nervous system: IFCN handbook chapter.
  pubmed Guggisberg AG, Siebner HR, Lundell H, Madsen MAJ 等 2025 Oct 置信度 0.82
• Semantics of Brain-Machine Hybrids.
  pubmed Ikegaya Y 2025 置信度 0.82
• Harnessing Neuroplasticity: The Role of Priming in Enhancing Post Stroke Motor Function.
  pubmed Madhavan S 2026 May 置信度 0.82
• The path to biotechnological singularity: Current breakthroughs and outlook.
  pubmed Wen Z, Yang D, Yang Y, Hu J 等 2025 Nov 置信度 0.82
• Classification of finger movements through optimal EEG channel and feature selection.
  pubmed Degirmenci M, Yuce YK, Perc M, Isler Y 2025 置信度 0.82
• Magnetic resonance imaging for spinocerebellar ataxia: a bibliometric analysis based on web of science.
  pubmed Liu ZY, Zhang L, Wang ZD, Huang ZQ 等 2025 置信度 0.82
• Brain-computer interfaces as a causal probe for scientific inquiry.
  pubmed Motiwala A, Soldado-Magraner J, Batista AP, Smith MA 等 2026 Jan 置信度 0.82
• Future Is Ven(o)us: A 5-Year Narrative Update on the Venous Route for Therapeutics in Neurointervention.
  pubmed Ognard J, Douri D, Hajj GE, Ghozy S 等 2026 Feb 3 置信度 0.82
• Towards Precise Synthetic Neural Codes: High-dimensional Stimulation with Flexible Electrodes.
  pubmed Kim R, Liu Y, Zhang J, Xie C 等 2025 置信度 0.82
• The vagus nerve: a cornerstone for mental health and performance optimization in recreation and elite sports.
  pubmed Lopez Blanco C, Tyler WJ 2025 置信度 0.82
• Neural signals, machine learning, and the future of inner speech recognition.
  pubmed Chowdhury AT, Hassanein A, Al Shibli AN, Khanafer Y 等 2025 置信度 0.82
• [Improve athletes' performance with neurofeedback].
  pubmed Izac M, N'Kaoua B, Pillette L, Jeunet-Kelway C 2025 置信度 0.82
• Mind City
  These two documents together form a complete picture of MindSpace — your consent-gated multisensory presence platform — split into the what it's made of and the what it does. The Central Hub parts list is the hardware side: a single body-worn core (belt/pocket…
  datacite Francis, Lee 2026 置信度 0.66
• Mind City
  These two documents together form a complete picture of MindSpace — your consent-gated multisensory presence platform — split into the what it's made of and the what it does. The Central Hub parts list is the hardware side: a single body-worn core (belt/pocket…
  datacite Francis, Lee 2026 置信度 0.66
• Beyond the Signal: Mapping Nursing Roles in Brain–Computer Interface Care Through a Technology‑Embedded Framework
  This scoping review systematically delineates the multifaceted professional roles of nurses within clinical brain–computer interface (BCI) care settings, moving beyond narrow technical focus on brain signal decoding and equipment operation to construct an inte…
  datacite , XuRui 2026 置信度 0.66 Medicine and Health SciencesNursingFOS: Health sciences
• Interfacing with the Brain: How Nanotechnology Can Contribute
  Interfacing artificial devices with the human brain is the central goal of neurotechnology. Yet, our imaginations are often limited by currently available paradigms and technologies. Suggestions for brain-machine interfaces have changed over time, along with t…
  datacite Ahmed, Abdullah A.A., Alegret, Nuria, Almeida, Bethany, Alvarez-Puebla, Ramón 等 2025 置信度 0.66 brain-on-a-chipbrain−machine interfacescontrol of ion channelsdeep brain stimulationelectrode arrays
• FingerFlex: Inferring Finger Trajectories from ECoG signals
  Motor brain-computer interface (BCI) development relies critically on neural time series decoding algorithms. Recent advances in deep learning architectures allow for automatic feature selection to approximate higher-order dependencies in data. This article pr…
  datacite Lomtev, Vladislav, Kovalev, Alexander, Timchenko, Alexey 2022 置信度 0.66 Neurons and Cognition (q-bio.NC)Human-Computer Interaction (cs.HC)Machine Learning (cs.LG)FOS: Biological sciencesFOS: Biological sciences
• Non-invasive Brain-Computer Interface Technology for Cognitive Function Rehabilitation in Stroke Patients: A Scoping Review and Nursing Implications
  Background Post-stroke cognitive impairment (PSCI) is a common and debilitating consequence of stroke, affecting up to 42.4% of older stroke survivors in China. PSCI negatively impacts rehabilitation adherence, functional outcomes, caregiver burden, and hospit…
  datacite HAn, Minghua 2026 置信度 0.66 Medicine and Health Sciences
• !!!SOLVED!!! Dungan's Pre-Sporadic ALS Model (DPSAM)!!!SOLVED!!!
  TO THE READER OF THIS DOCUMENT: I believe this is the solution to how ALS works. On 5/3 I asked AI some adversarial questions to further refine the theory, and I had asked about current epidemological data to compare ALS occurrence rates in careers that incolv…
  datacite Dungan, Joshua 2026 置信度 0.66 Amyotrophic Lateral Sclerosis, Motor Neuron Disease, Neurodegenerative Diseases, Retinal Ganglion Cells, TDP-43 Proteinopathies, Zinc, Chelating Agents, Neurotoxicity Syndromes, Excitatory Amino Acid Toxicity, Oxidative Stress, Protein Aggregation Pathological, Darkness, Binaural Beats, Sensory Deprivation, ARPA-H, Dungan's Pre-Sporadic ALS Model, DPSAM, RGNEF protein, NF242 terminal, C1 domain, Corollary Discharge, Hot Mic effect, Stathmin-2 mis-splicing, STMN2, Zinc Chelator Toxins, Manganese, BMAA, Paraquat, Mancozeb, Exosome, TDP-43 Pathology, Rizoule, Ferrostatin-1, Trehalose, PBT2, Ebselen, Spermadine, Dark Therapy, Ocular Resync, binaural beats, Total Darkness exposure, 2-Hit Storm, Congenital Blindness protective shield, Riluzole, Chelation Therapy, Antidotes, In Silico, Systems Biology, Theoretical Modeling, Epidemiological Data, Literature Review, Hypothesis Generation, Translational Medical Research, Advanced Research Projects Agency for Health
• !!!SOLVED!!! Dungan's Pre-Sporadic ALS Model (DPSAM)!!!SOLVED!!!
  TO THE READER OF THIS DOCUMENT: I believe this is the solution to how ALS works. On 5/3 I asked AI some adversarial questions to further refine the theory, and I had asked about current epidemological data to compare ALS occurrence rates in careers that incolv…
  datacite Dungan, Joshua 2026 置信度 0.66 Amyotrophic Lateral Sclerosis, Motor Neuron Disease, Neurodegenerative Diseases, Retinal Ganglion Cells, TDP-43 Proteinopathies, Zinc, Chelating Agents, Neurotoxicity Syndromes, Excitatory Amino Acid Toxicity, Oxidative Stress, Protein Aggregation Pathological, Darkness, Binaural Beats, Sensory Deprivation, ARPA-H, Dungan's Pre-Sporadic ALS Model, DPSAM, RGNEF protein, NF242 terminal, C1 domain, Corollary Discharge, Hot Mic effect, Stathmin-2 mis-splicing, STMN2, Zinc Chelator Toxins, Manganese, BMAA, Paraquat, Mancozeb, Exosome, TDP-43 Pathology, Rizoule, Ferrostatin-1, Trehalose, PBT2, Ebselen, Spermadine, Dark Therapy, Ocular Resync, binaural beats, Total Darkness exposure, 2-Hit Storm, Congenital Blindness protective shield, Riluzole, Chelation Therapy, Antidotes, In Silico, Systems Biology, Theoretical Modeling, Epidemiological Data, Literature Review, Hypothesis Generation, Translational Medical Research, Advanced Research Projects Agency for Health
• BCI, EEG/EMG and VR for Post-Stroke Upper-Limb Rehabilitation: Scoping Review
  This OSF project contains the protocol and supporting materials for a scoping review on EEG-, EMG-, and hybrid EEG–EMG-based systems integrated with virtual reality, biofeedback, and interactive digital environments for post-stroke upper-limb rehabilitation, a…
  datacite Janecki, Mateusz, Wodarski, Piotr 2026 置信度 0.66 Medical SciencesPhysical Sciences and MathematicsNeurosciencesFOS: Clinical medicineMedicine and Health Sciences
• Manifold-Aware Dense Retrieval Outperforms Multi-Representation Models in Biomedical QA Recall
  This report synthesises findings from 8 peer-reviewed papers addressing the following research question: To what extent do manifold-aware dense retrieval models outperform multi-representation architectures in Recall@1000 on out-of-distribution biomedical QA b…
  datacite Assignee Research 2026 置信度 0.66 extentmanifold-awaredenseretrievalmodels
• Manifold-Aware Dense Retrieval Outperforms Multi-Representation Models in Biomedical QA Recall
  This report synthesises findings from 8 peer-reviewed papers addressing the following research question: To what extent do manifold-aware dense retrieval models outperform multi-representation architectures in Recall@1000 on out-of-distribution biomedical QA b…
  datacite Assignee Research 2026 置信度 0.66 extentmanifold-awaredenseretrievalmodels
• sj-docx-1-eeg-10.1177_15500594211009065 - Supplemental material for Efficacy of Brain–Computer Interface and the Impact of Its Design Characteristics on Poststroke Upper-limb Rehabilitation: A Systematic Review and Meta-analysis of Randomized Controlled Trials
  Supplemental material, sj-docx-1-eeg-10.1177_15500594211009065 for Efficacy of Brain–Computer Interface and the Impact of Its Design Characteristics on Poststroke Upper-limb Rehabilitation: A Systematic Review and Meta-analysis of Randomized Controlled Trials …
  datacite Mansour, Salem, Ang, Kai Keng, Nair, Krishnan P.S., Phua, Kok Soon 等 2023 置信度 0.66 110904 Neurology and Neuromuscular DiseasesFOS: Clinical medicineNeuroscience
• Additional file 6 of Effect of brain-computer interface training based on non-invasive electroencephalography using motor imagery on functional recovery after stroke - a systematic review and meta-analysis
  Additional file 6. Figure AM3_Meta Regression
  datacite Kruse, Antje, Suica, Zorica, Taeymans, Jan, Schuster-Amft, Corina 2020 置信度 0.66 Space ScienceMedicineNeurosciencePhysiologyFOS: Biological sciences
• Additional file 6 of Effect of brain-computer interface training based on non-invasive electroencephalography using motor imagery on functional recovery after stroke - a systematic review and meta-analysis
  Additional file 6. Figure AM3_Meta Regression
  datacite Kruse, Antje, Suica, Zorica, Taeymans, Jan, Schuster-Amft, Corina 2020 置信度 0.66 Space ScienceMedicineNeurosciencePhysiologyFOS: Biological sciences
• Additional file 4 of Effect of brain-computer interface training based on non-invasive electroencephalography using motor imagery on functional recovery after stroke - a systematic review and meta-analysis
  Additional file 4. Figure AM2_Subgroup analyses: Time since stroke, training intensity and sensitivity analysis.
  datacite Kruse, Antje, Suica, Zorica, Taeymans, Jan, Schuster-Amft, Corina 2020 置信度 0.66 Space ScienceMedicineNeurosciencePhysiologyFOS: Biological sciences
• Additional file 4 of Effect of brain-computer interface training based on non-invasive electroencephalography using motor imagery on functional recovery after stroke - a systematic review and meta-analysis
  Additional file 4. Figure AM2_Subgroup analyses: Time since stroke, training intensity and sensitivity analysis.
  datacite Kruse, Antje, Suica, Zorica, Taeymans, Jan, Schuster-Amft, Corina 2020 置信度 0.66 Space ScienceMedicineNeurosciencePhysiologyFOS: Biological sciences
• Additional file 3 of Effect of brain-computer interface training based on non-invasive electroencephalography using motor imagery on functional recovery after stroke - a systematic review and meta-analysis
  Additional file 3. Figure AM1_Funnel plots.
  datacite Kruse, Antje, Suica, Zorica, Taeymans, Jan, Schuster-Amft, Corina 2020 置信度 0.66 Space ScienceMedicineNeurosciencePhysiologyFOS: Biological sciences
• Additional file 3 of Effect of brain-computer interface training based on non-invasive electroencephalography using motor imagery on functional recovery after stroke - a systematic review and meta-analysis
  Additional file 3. Figure AM1_Funnel plots.
  datacite Kruse, Antje, Suica, Zorica, Taeymans, Jan, Schuster-Amft, Corina 2020 置信度 0.66 Space ScienceMedicineNeurosciencePhysiologyFOS: Biological sciences
• Democratizing Artificial Intelligence Education in India: A Comprehensive Analysis of AiWalah.com
  Abstract As the global economy transitions into an AI-first paradigm, the need for scalable, affordable, and highly localized technological education has become paramount. This research paper analyzes AiWalah.com, a registered trademark and primary educational…
  datacite ABHIJEET SARKAR 2026 置信度 0.66
• Democratizing Artificial Intelligence Education in India: A Comprehensive Analysis of AiWalah.com
  Abstract As the global economy transitions into an AI-first paradigm, the need for scalable, affordable, and highly localized technological education has become paramount. This research paper analyzes AiWalah.com, a registered trademark and primary educational…
  datacite ABHIJEET SARKAR 2026 置信度 0.66
• Towards development of a 3-state self-paced brain computer interface system
  Brain computer interface (BCI) systems aim at helping individuals with motor disabilities by providing them the ability to control devices such as wheelchairs and computers, using their brain activity only. The majority of BCI research to-date has focused on d…
  datacite Bashashati, Ali 2011 置信度 0.66
• A scoping review in patient and family engagement in brain computer interface research
  This scoping review highlights patient and family engagement as patient partners on brain computer interface (BCI) research. The primary objective of the review is to disseminate how patient and family perspectives are integrated in BCI research beyond traditi…
  datacite Luoma, Adam C, Nikitovic, Dejana 2026 置信度 0.66 Life SciencesBiotechnologyNeuroscience and NeurobiologySocial and Behavioral SciencesSociology
• The Spiral Glyph Reader: A Feasibility Analysis and Strategic Development Roadmap
  The Spiral Glyph Reader: A Feasibility Analysis and Strategic Development Roadmap Executive Summary The Spiral Glyph Reader (SGR) represents a conceptually profound and ambitious proposal for a new computational paradigm. It seeks to transcend the limitations …
  datacite Kulik, Dean 2026 置信度 0.66
• Удаление артефактов и фильтрация данных сигнала ЭЭГ для повышения эффективности его постобработки
  Цель работы: исследование влияния методов предобработки ЭЭГ-сигналов на точность их классификации. Решаемые задачи:1) обзор методов сбора и обработки ЭЭГ и источников артефактов;2) использование набора данных PhysioNet EEG Dataset;3) реализация алгоритмов удал…
  datacite Воттс, Екатерина 2026 置信度 0.66 электроэнцефалографиямонтажартефактыпредобработка сигналовполосовая и режекторная фильтрация
• A Scoping Review on the Effects of Non-Invasive Brain-Computer Interfaces on Motor Function Recovery in Neurorehabilitation Patients and Nursing Implications
  This project is a scoping review focusing on the application of non-invasive brain-computer interface (BCI) in the assessment of mental fatigue and cognitive fatigue in patients with neurological disorders, excluding nurses or caregivers as research subjects. …
  datacite , SiwenYin 2026 置信度 0.66 Medicine and Health SciencesBrain-Computer InterfacesNursing，
• A Review on the Scope of Symptom Burden and Adverse Experiences in Patients Using Non-Invasive Brain-Computer Interface Rehabilitation
  With the increasingly widespread application of non-invasive brain-computer interface (BCI) technology in the field of rehabilitation, the symptom burden and adverse experiences faced by patients during long-term training have gradually become apparent. Althou…
  datacite , SiwenYin 2026 置信度 0.66 Medicine and Health SciencesNursingFOS: Health sciences
• Are treatment effects of neurofeedback training in children with ADHD related to the successful regulation of brain activity? A review on the learning of regulation of brain activity and a contribution to the discussion on specificity
  While issues of efficacy and specificity are crucial for the future of neurofeedback training, there may be alternative designs and control analyses to circumvent the methodological and ethical problems associated with double-blind placebo studies. Surprisingl…
  datacite Zuberer, Agnieszka, Brandeis, Daniel, Drechsler, Renate 2015 置信度 0.66 DoktoratPsych Erstautor610 Medicine & health
• Self-regulation of local brain activity using real-time functional magnetic resonance imaging (fMRI)
  Functional magnetic resonance imaging (fMRI) measures the blood oxygen level-dependent (BOLD) signal related to neuronal activity. So far, this technique has been limited by time-consuming data analysis impeding on-line analysis. In particular, no brain-comput…
  datacite Weiskopf, Nikolaus, Scharnowski, Frank, Veit, Ralf, Goebel, Rainer 等 2005 置信度 0.66 570 Life sciences; biology610 Medicine & health
• SYSTEM FOR READING AND ANALYZING SIGNALS OF THE HUMAN BRAIN
  The given work is devoted to the methods for analysis of signals of the encephalograph by neural networks. A system for analysis of read brain signals using a handheld computer Raspberry Pi 3b+ is proposed. On the basis of this system it is proposed to create …
  datacite Kartolapov, Dmytro, Novikov, Oleksandr 2022 置信度 0.66 Biomechanical engineering
• Biological Considerations of Optical Interfaces for Neuromodulation
  The success of devices such as cochlear implants and pacemakers has led to increasing interest in new applications of artificial neural interfaces, ranging from brain–computer interfaces to vagus nerve stimulators. Both the established and emerging application…
  datacite Hart, William L., Kameneva, Tatiana, Wise, Andrew K., Stoddart, Paul 2024 置信度 0.66
• Biological Considerations of Optical Interfaces for Neuromodulation
  The success of devices such as cochlear implants and pacemakers has led to increasing interest in new applications of artificial neural interfaces, ranging from brain–computer interfaces to vagus nerve stimulators. Both the established and emerging application…
  datacite Hart, William L., Kameneva, Tatiana, Wise, Andrew K., Stoddart, Paul 2024 置信度 0.66
• N‑K Universal Computer Analysis: Drug Delivery Systems — Viral Shells vs CMC Nanoparticles   Complete Geometric Comparison of N‑K GM Series Delivery Mechanisms From Probabilities to Certainties.
  N‑K Universal Computer Analysis: Drug Delivery Systems — Viral Shells vs CMC Nanoparticles Complete Geometric Comparison of N‑K GM Series Delivery Mechanisms From Probabilities to Certainties. By Malik Muhammad Usman ORCID: 0009-0004-3269-2918 https://chat.dee…
  datacite Malik, Muhammad Usman 2026 置信度 0.66
• N‑K Universal Computer Analysis: Drug Delivery Systems — Viral Shells vs CMC Nanoparticles   Complete Geometric Comparison of N‑K GM Series Delivery Mechanisms From Probabilities to Certainties.
  N‑K Universal Computer Analysis: Drug Delivery Systems — Viral Shells vs CMC Nanoparticles Complete Geometric Comparison of N‑K GM Series Delivery Mechanisms From Probabilities to Certainties. By Malik Muhammad Usman ORCID: 0009-0004-3269-2918 https://chat.dee…
  datacite Malik, Muhammad Usman 2026 置信度 0.66
• Brain-Switches for Asynchronous Brain−Computer Interfaces: A Systematic Review
  A brain–computer interface (BCI) has been extensively studied to develop a novel communication system for disabled people using their brain activities. An asynchronous BCI system is more realistic and practical than a synchronous BCI system, in that, BCI comma…
  datacite Han, Chang-Hee, Müller, Klaus-Robert, Hwang, Han-Jeong 2020 置信度 0.66 005 Computerprogrammierung, Programme, Datenbrain-switchbrain–computer interfaceelectroencephalographynear-infrared spectroscopy
• 2020 International brain–computer interface competition: A review
  The brain-computer interface (BCI) has been investigated as a form of communication tool between the brain and external devices. BCIs have been extended beyond communication and control over the years. The 2020 international BCI competition aimed to provide hi…
  datacite Jeong, Ji-Hoon, Cho, Jeong-Hyun, Lee, Young-Eun, Lee, Seo-Hyun 等 2022 置信度 0.66 610 Medizin und Gesundheitbrain-computer interfaceelectroencephalogramcompetitionopen datasets
• The Berlin Brain-Computer Interface: Progress Beyond Communication and Control
  The combined effect of fundamental results about neurocognitive processes and advancements in decoding mental states from ongoing brain signals has brought forth a whole range of potential neurotechnological applications. In this article, we review our develop…
  datacite Blankertz, Benjamin, Acqualagna, Laura, Dähne, Sven, Haufe, Stefan 等 2016 置信度 0.66 610 Medizin und GesundheitBrain-Computer InterfacingBCIelectroencephalographyEEG
• Классификация электро-энцефалографических паттернов движения нижних конечностей с использованием римановой геометрии
  В научном докладе Журавской Анжелики «Классификация электро-энцефалографических паттернов движения нижних конечностей с использованием римановой геометрии» обсуждается проблема классификации движений нижних конечностей человека по сигналам активности мозга, во…
  datacite Журавская, Анжелика 2022 置信度 0.66 Геометрия РиманаИнформацияинтерфейс «мозг-компьютер»электроэнцефалографиявоображаемые движения ног
• Deep learning in auditory attention decoding: A systematic review
  Auditory attention decoding (AAD) utilizes electroencephalography (EEG) to detect an individual's attentional focus in noisy, multi-speaker environments, serving as a cornerstone for next-generation neuro-steered hearing aids. Although deep learning has recent…
  datacite Yang, Jiashu, Huang, Mengjie, Yang, Rui 2026 置信度 0.66 MedicineBiological Sciences not elsewhere classifiedInformation Systems not elsewhere classified
• Deep learning in auditory attention decoding: A systematic review
  Auditory attention decoding (AAD) utilizes electroencephalography (EEG) to detect an individual's attentional focus in noisy, multi-speaker environments, serving as a cornerstone for next-generation neuro-steered hearing aids. Although deep learning has recent…
  datacite Yang, Jiashu, Huang, Mengjie, Yang, Rui 2026 置信度 0.66 MedicineBiological Sciences not elsewhere classifiedInformation Systems not elsewhere classified
• Creating a Gojek Clone App: A Complete Development Guide
  In recent years, on-demand service apps have transformed the way we access everyday services, with Gojek leading the charge by offering a comprehensive platform that combines transportation, delivery, and various other services. As businesses look to capitaliz…
  datacite joy, Swiza 2026 置信度 0.66
• Creating a Gojek Clone App: A Complete Development Guide
  In recent years, on-demand service apps have transformed the way we access everyday services, with Gojek leading the charge by offering a comprehensive platform that combines transportation, delivery, and various other services. As businesses look to capitaliz…
  datacite joy, Swiza 2026 置信度 0.66
• Mechs
  You can treat this as buildable with today’s tech, but you’re in “prototype MBT + experimental railgun + biped robot” cost territory for a single unit. Below is an order‑of‑magnitude cost breakdown for the first full prototype and a manufacturing/integration r…
  datacite lee, francis 2026 置信度 0.66
• Additional file 1 of Effect of brain-computer interface training based on non-invasive electroencephalography using motor imagery on functional recovery after stroke - a systematic review and meta-analysis
  Additional file 1. Example search strategy for each database.
  datacite Kruse, Antje, Suica, Zorica, Taeymans, Jan, Schuster-Amft, Corina 2020 置信度 0.66 Space ScienceMedicineNeurosciencePhysiologyFOS: Biological sciences
• Additional file 1 of Effect of brain-computer interface training based on non-invasive electroencephalography using motor imagery on functional recovery after stroke - a systematic review and meta-analysis
  Additional file 1. Example search strategy for each database.
  datacite Kruse, Antje, Suica, Zorica, Taeymans, Jan, Schuster-Amft, Corina 2020 置信度 0.66 Space ScienceMedicineNeurosciencePhysiologyFOS: Biological sciences
• Additional file 2 of Effect of brain-computer interface training based on non-invasive electroencephalography using motor imagery on functional recovery after stroke - a systematic review and meta-analysis
  Additional file 2. Overview on extracted study data.
  datacite Kruse, Antje, Suica, Zorica, Taeymans, Jan, Schuster-Amft, Corina 2020 置信度 0.66 Space ScienceMedicineNeurosciencePhysiologyFOS: Biological sciences
• Additional file 2 of Effect of brain-computer interface training based on non-invasive electroencephalography using motor imagery on functional recovery after stroke - a systematic review and meta-analysis
  Additional file 2. Overview on extracted study data.
  datacite Kruse, Antje, Suica, Zorica, Taeymans, Jan, Schuster-Amft, Corina 2020 置信度 0.66 Space ScienceMedicineNeurosciencePhysiologyFOS: Biological sciences
• Additional file 5 of Effect of brain-computer interface training based on non-invasive electroencephalography using motor imagery on functional recovery after stroke - a systematic review and meta-analysis
  Additional file 5. Table AM1_Subgroup analysis: Time duration and FU.
  datacite Kruse, Antje, Suica, Zorica, Taeymans, Jan, Schuster-Amft, Corina 2020 置信度 0.66 Space ScienceMedicineNeurosciencePhysiologyFOS: Biological sciences
• Additional file 5 of Effect of brain-computer interface training based on non-invasive electroencephalography using motor imagery on functional recovery after stroke - a systematic review and meta-analysis
  Additional file 5. Table AM1_Subgroup analysis: Time duration and FU.
  datacite Kruse, Antje, Suica, Zorica, Taeymans, Jan, Schuster-Amft, Corina 2020 置信度 0.66 Space ScienceMedicineNeurosciencePhysiologyFOS: Biological sciences
• Применение неинвазивного интерфейса «мозг-компьютер» для классификации воображаемых движений нижних конечностей человека
  В данной работе обсуждается проблема классификации движений нижних конечностей человека по сигналам активности мозга, воспринимаемым и декодируемым с помощью интерфейса «мозг-компьютер» (ИМК). Представлена структура неинвазивного ИМК, ориентированная на распоз…
  datacite Журавская, Анжелика, Станкевич, Лев, "Системный анализ в проектировании и управлении", международная научная и учебно-практическая конференция (25; 2021; Санкт-Петербург) 2021 置信度 0.66 Системный анализинтерфейс «мозг-компьютер»электроэнцефалографиявоображаемые движения ногклассификация
• Unravelling the brain at resting state
  This dissertation investigates the intersection of physical activity (PA) and brain function, focusing on the Default Mode Network (DMN) and its neural correlates. The overarching aim is to explore how PA levels influence DMN activity and its potential implica…
  datacite Wieland, Fluri Anton Martin 2023 置信度 0.66
• AI and Brain–Computer Interaction (BCI) Assisted Requirements Engineering for Digital Healthcare Systems: A Systematic Literature Review
  The integration of Artificial Intelligence (AI) and Brain-Computer Interface (BCI) technologies has created transformative opportunities in general to software requirements engineering (RE) discipline, and specifically for digital healthcare systems, including…
  datacite Sinkie, Mekuria, Midekso, Dida, Gronli, Tor Morten, Lakhan, Abdullah 2026 置信度 0.66 Artificial Intelligence; Brain–Computer Interface; Requirements Engineering; Digital Healthcare; Neurotechnology; Systematic Literature Review; Explainable AI; Ethical AI; Software Engineering; Clinical Systems.
• AI and Brain–Computer Interaction (BCI) Assisted Requirements Engineering for Digital Healthcare Systems: A Systematic Literature Review
  The integration of Artificial Intelligence (AI) and Brain-Computer Interface (BCI) technologies has created transformative opportunities in general to software requirements engineering (RE) discipline, and specifically for digital healthcare systems, including…
  datacite Sinkie, Mekuria, Midekso, Dida, Gronli, Tor Morten, Lakhan, Abdullah 2026 置信度 0.66 Artificial Intelligence; Brain–Computer Interface; Requirements Engineering; Digital Healthcare; Neurotechnology; Systematic Literature Review; Explainable AI; Ethical AI; Software Engineering; Clinical Systems.
• AASD: An Open Non-Invasive EEG Dataset for Spontaneous Auditory Attention Switch Decoding
  The Auditory Attention Switching Dataset (AASD) provides a large-scale, open-access collection of electroencephalography (EEG) recordings designed to investigate spontaneous auditory attention switching in natural listening environments. This dataset fills a c…
  datacite Wang, Xuefei, Ding, Yuting, Ban, Yueting, Wang, Lei 等 2025 置信度 0.66 auditory brain–computer interfacespontaneous attention switchingauditory attention decodingspatialized speechelectroencephalography (EEG)
• AASD: An Open Non-Invasive EEG Dataset for Spontaneous Auditory Attention Switch Decoding
  The Auditory Attention Switching Dataset (AASD) provides a large-scale, open-access collection of electroencephalography (EEG) recordings designed to investigate spontaneous auditory attention switching in natural listening environments. This dataset fills a c…
  datacite Wang, Xuefei, Ding, Yuting, Ban, Yueting, Wang, Lei 等 2025 置信度 0.66 auditory brain–computer interfacespontaneous attention switchingauditory attention decodingspatialized speechelectroencephalography (EEG)
• Parameter-efficient convolutional neural network for drug treatment outcome studies of pediatric epilepsy.
  pubmed Zhao C, Liao Z, Jiang D, Zhao X 等 2026 Feb 11 置信度 0.82
• Blood circulating cell-free mitochondrial DNA as a potential biomarker for major depressive disorder: a meta-analysis.
  pubmed Zhang Y, Zhao M, Song S, Chen Q 等 2026 Feb 6 置信度 0.82
• [Reconstruction of superficial organs: a leap from structural restoration to functional rehabilitation].
  pubmed Zan T, Gao YS 2026 Jan 20 置信度 0.82
• Advances in (Bio)Sensors for Physiological Monitoring: A Special Issue Review.
  pubmed Falk M, Shleev S 2026 Jan 17 置信度 0.82
• Neuroimaging-Guided Insights into the Molecular and Network Mechanisms of Chronic Pain and Neuromodulation.
  pubmed Yen C, Chiang MC 2026 Jan 21 置信度 0.82
• Generative Adversarial Networks for Modeling Bio-Electric Fields in Medicine: A Review of EEG, ECG, EMG, and EOG Applications.
  pubmed Liang J, Zhou Y, Ma K, Jia Y 等 2026 Jan 12 置信度 0.82
• Laser fabrication of flexible electrodes for bioelectronics.
  pubmed Zheng L, Lu Y, Lyu H, Li T 等 2026 Apr 15 置信度 0.82
• Artificial Intelligence and Wearable Technologies for Upper Limb Neurorehabilitation.
  pubmed Siviero I, Vale N, Menegaz G, Ramos-Murguialday A 等 2026 置信度 0.82
• Characteristics of resting-state EEG after deep brain stimulation in nucleus accumbens and anterior limb of internal capsule: a pilot study.
  pubmed Zhang W, Xiong B, Shen D, Wang W 2026 Jan 7 置信度 0.82
• Functional near-infrared spectroscopy: Systematic mapping of abnormal brain function features in neurological disorders.
  pubmed Li Y, Feng Y, Liu X, Yuan R 等 2026 Oct 1 置信度 0.82
• The role of emotion in economic decision making: behavioral and neurophysiological evidence from the Wheel of Fortune Gambling Task.
  pubmed Zhang T, Ngetich RK, Zhang J, Jin Z 等 2026 Apr 24 置信度 0.82
• Foundation Models for Neural Signal Decoding: EEG-Centered Perspectives Toward Unified Representations.
  pubmed Kwon J, Shin Y 2026 Jan 置信度 0.82
• Decoding semantic categories: insights from an fMRI ALE meta analysis.
  pubmed Radman M, Podmore JJ, Poli R, Paulmann S 等 2026 Jan 2 置信度 0.82
• Behind the Scenes of Noninvasive Brain–Computer Interfaces: A Review of Electroencephalography Signals, How They Are Recorded, and Why They Matter
  Purpose Brain–computer interface (BCI) techniques may provide computer access for individuals with severe physical impairments. However, the relatively hidden nature of BCI control obscures how BCI systems work behind the scenes, making it difficult to underst…
  openalex Kevin M. Pitt, Jonathan S. Brumberg, Jeremy D. Burnison, Jyutika Mehta 等 2019-11-11 置信度 0.72 Brain–computer interfaceElectroencephalographyComputer scienceInterface (matter)Sensorimotor rhythm
• NeuCube: A spiking neural network architecture for mapping, learning and understanding of spatio-temporal brain data
  openalex Nikola Kasabov 2014-01-20 置信度 0.72 Computer scienceSpiking neural networkArtificial intelligenceMachine learningArtificial neural network
• A survey of MRI-based medical image analysis for brain tumor studies
  MRI-based medical image analysis for brain tumor studies is gaining attention in recent times due to an increased need for efficient and objective evaluation of large amounts of data. While the pioneering approaches applying automated methods for the analysis …
  openalex Stefan Bauer, Roland Wiest, Lutz-P. Nolte, Mauricio Reyes 2013-06-06 置信度 0.72 Brain tumorComputer scienceFocus (optics)SegmentationMedical physics
• 101 Labeled Brain Images and a Consistent Human Cortical Labeling Protocol
  We introduce the Mindboggle-101 dataset, the largest and most complete set of free, publicly accessible, manually labeled human brain images. To manually label the macroscopic anatomy in magnetic resonance images of 101 healthy participants, we created a new c…
  openalex Arno Klein, Jason A. Tourville 2012-01-01 置信度 0.72 Computer scienceInitializationProtocol (science)Artificial intelligenceProbabilistic logic
• PANDA: a pipeline toolbox for analyzing brain diffusion images
  Diffusion magnetic resonance imaging (dMRI) is widely used in both scientific research and clinical practice in in-vivo studies of the human brain. While a number of post-processing packages have been developed, fully automated processing of dMRI datasets rema…
  openalex Zaixu Cui, Suyu Zhong, Pengfei Xu, Yong He 等 2013-01-01 置信度 0.72 Computer scienceToolboxDICOMGraphical user interfaceDiffusion MRI
• The computer reaches out: the historical continuity of interface design
  This paper examines the evolution of the focus of user interface research and development from the first production of commercial computer systems in the 1950s through the present. The term “user interface” was not needed in the beginning, when most users were…
  openalex Jonathan Grudin 1990-01-01 置信度 0.72 Interface (matter)Focus (optics)Computer scienceHuman–computer interactionUser interface
• Update of fNIRS as an Input to Brain–Computer Interfaces: A Review of Research from the Tufts Human–Computer Interaction Laboratory
  Over the past decade, the Human–Computer Interaction (HCI) Lab at Tufts University has been developing real-time, implicit Brain–Computer Interfaces (BCIs) using functional near-infrared spectroscopy (fNIRS). This paper reviews the work of the lab; we explore …
  openalex Alexa Bosworth, Matthew Russell, Robert J.K Jacob 2019-08-04 置信度 0.72 Human multitaskingComputer scienceHuman–computer interactionFunctional near-infrared spectroscopyBrain–computer interface
• Brain waves for automatic biometric-based user recognition
  Brain signals have been investigated within the medical field for more than a century to study brain diseases like epilepsy, spinal cord injuries, Alzheimer's, Parkinson's, schizophrenia, and stroke among others. They are also used in both brain computer and b…
  openalex Patrizio Campisi, Daria La Rocca 2014-02-26 置信度 0.72 Computer scienceSpoofing attackLivenessBiometricsHuman–computer interaction
• Review for "Can the occipital alpha‐phase speed up visual detection through a real‐time EEG‐based brain‐computer interface (BCI)?"
  crossref 2020-08-04T17:13:48Z 置信度 0.70
• Review for "Can the occipital alpha‐phase speed up visual detection through a real‐time EEG‐based brain‐computer interface (BCI)?"
  crossref 2020-08-04T17:13:48Z 置信度 0.70
• Review for "Can the occipital alpha‐phase speed up visual detection through a real‐time EEG‐based brain‐computer interface (BCI)?"
  crossref 2020-08-04T17:13:48Z 置信度 0.70
• A Brief Review on EEG Signal Pre-processing Techniques for Real-Time Brain-Computer Interface Applications
  <div>Electro Encephalo Gram (EEG) is a monitoring method used in biomedical and computer science to understand brain activity. Therefore, the analysis and classification of these signals play a prominent role in estimating a person’s behavior to certain …
  crossref B Venkata Phanikrishna, Paweł Pławiak, Allam Jaya Prakash 2021-09-30T05:21:50Z 置信度 0.70
• A Comprehensive Review on Brain-Computer Interface Controlled Movements
  A brain-computer interface (BCI), also referred to as a mind-machine interface (MMI) or a brain-machine interface (BMI), provides a non-muscular channel of communication between the human brain and a computer system. With the advancements in low-cost electroni…
  crossref Kulsheet Kaur Virdi, Satish Pawar 2020-01-17T07:22:39Z 置信度 0.70
• Peer Review Report For: Silicon Valley new focus on brain computer interface: hype or hope for new applications? [version 1; peer review: 2 approved, 1 approved with reservations]
  In the last year there has been increasing interest and investment into developing devices to interact with the central nervous system, in particular developing a robust brain-computer interface (BCI). In this article, we review the most recent research advanc…
  crossref 2025-11-25T18:52:09Z 置信度 0.70
• Faculty Opinions recommendation of A brain-computer interface using electrocorticographic signals in humans.
  crossref Robert T Knight 2012-09-19T17:30:53Z 置信度 0.70
• Problem solving using hybrid brain-computer interface methods: A review
  The latest advancements in hybrid brain-computer interface (hBCI) research are reported in this paper. Specifically we look at the latest pure hBCI systems, which use two or more different brain-computer interface (BCI) signals to allow the user to interact wi…
  openalex James Henshaw, Wei Liu, Daniela Romano, Daniela M. Romano 2014-11-01 置信度 0.72 Brain–computer interfaceInterface (matter)Computer scienceHuman–computer interactionUser interface
• Boosters of the metaverse: a review of augmented reality-based brain-computer interface
  Introduction The ultimate objective of the metaverse is to create a new digital life system using brain-computer interface (BCI) technology that integrates and even enhances reality and virtuality, among which the efficient and natural interaction technology b…
  crossref Zongxin Xu, Gaoxing Chen, Rui Zhang 2024-01-31T09:13:52Z 置信度 0.70
• Chapter 11 Brain–Computer Interface Research at the Wadsworth Center
  Brain-computer interface (BCI) research at the Wadsworth Center focuses on noninvasive, electroencephalography (EEG)-based BCI methods for helping severely disabled individuals communicate and interact with their environment. We have demonstrated that these in…
  crossref Dean J. Krusienski, Jonathan R. Wolpaw 2009-07-15T08:24:11Z 置信度 0.70
• Peer Review Report For: Silicon Valley new focus on brain computer interface: hype or hope for new applications? [version 1; peer review: 2 approved, 1 approved with reservations]
  In the last year there has been increasing interest and investment into developing devices to interact with the central nervous system, in particular developing a robust brain-computer interface (BCI). In this article, we review the most recent research advanc…
  crossref 2025-11-25T05:37:11Z 置信度 0.70