仿生智能 · 全部实体（第 75 / 100 页）

本页收录第 7401–7500 条，共 10000 条 · 返回 仿生智能 首页

• Signal properties and stability of a chronically implanted endovascular brain computer interface
  Background: Implanted brain-computer interfaces (iBCIs) establish direct communication with the brain and hold the potential to enable people with severe disability to achieve control of digital devices, enabling communication and digital activities of daily l…
  pubmed Nikole Chetty, Kriti Kacker, Ariel K. Feldman, Peter E. Yoo 等 2025 置信度 0.82 SIGNAL (programming language)Biomedical engineeringInterface (matter)Materials scienceBrain–computer interface
• Robust Motor Imagery-Brain-Computer Interface Classification in Signal Degradation: A Multi-Window Ensemble Approach.
  Electroencephalography (EEG)-based brain–computer interface (BCI) mimics the brain’s intrinsic information-processing mechanisms by translating neural oscillations into actionable commands. In motor imagery (MI) BCI, imagined movements evoke characteristic pat…
  pubmed Lee DG, Lee SB, Dong-Geun Lee, Seung-Bo Lee 2025 置信度 0.82 Brain–computer interfaceRobustness (evolution)Motor imageryComputer sciencePattern recognition (psychology)
• Motor Imagery Brain-Computer Interface (MI-BCI)-Assisted Upper Limb Neurorehabilitation for Acute Stroke During Inpatient Rehabilitation: A Prospective Feasibility Study with Economic Evaluation Protocol.
  Background: Stroke is a leading cause of neurological disability worldwide, with upper limb impairment affecting approximately 70% of survivors and only 5-20% achieving complete dexterity recovery at six months. Brain-computer interface (BCI) neurorehabilitati…
  pubmed Shankar R, Lo YT, Fong CL, Keong N 等 2026 置信度 0.82
• Brain-Computer Interface Combined with Functional Electrical Stimulation for Post-Stroke Upper Limb Motor Recovery: A Systematic Review and Meta-Analysis.
  BackgroundBrain-computer interface-driven functional electrical stimulation (BCI-FES) is a promising approach for post-stroke upper limb rehabilitation. However, considerable variability exists in stimulation parameters and task designs across studies, and evi…
  pubmed Liang F, Chen X, Li B, Yang B 等 2026 置信度 0.82 Physical medicine and rehabilitationMedicineUpper limbRandomized controlled trialStimulation
• Real-time decoding of full-spectrum Chinese using brain-computer interface.
  Speech brain-computer interfaces (BCIs) offer a promising means to provide functional communication capacity for patients with anarthria caused by neurological conditions such as amyotrophic lateral sclerosis (ALS) or brainstem stroke. Current speech decoding …
  pubmed Youkun Qian, C. Liu, P.Y. Yu, Xingchen Ran 等 2025 置信度 0.82 Mandarin ChineseSyllableDecoding methodsDecodesComputer science
• Invasive Brain-Computer Interface for Communication: A Scoping Review.
  BACKGROUND: The rapid expansion of the brain-computer interface for patients with neurological deficits has garnered significant interest, and for patients, it provides an additional route where conventional rehabilitation has its limits. This has particularly…
  europepmc Shujhat Khan, Leonie Kallis, Harry Mee, Salim El Hadwe 等 2025 置信度 0.80 Brain–computer interfaceInterface (matter)Human–computer interactionComputer sciencePsychology
• Rotation-based metric on the Riemannian manifold of SPD matrices with applications to source data selection for brain-computer interface transfer learning.
  This paper introduces the pole ratio metric and presents a sphere-based view of symmetric positive-definite matrix rotations on the Riemannian manifold of symmetric positive-definite matrices equipped with the affine-invariant Riemannian metric. The pole ratio…
  europepmc 2026 置信度 0.80
• Motor imagery-based brain-computer interface for differential diagnosis in prolonged disorders of consciousness.
  Introduction Patients with prolonged disorders of consciousness (pDoC) present significant challenges to the assessment of consciousness. This study investigated the clinical utility of motor imagery-based brain-computer interface (MI-BCI) for discriminating c…
  pubmed Liu P, Ge Q, Dong L, Jiao L 等 2025 置信度 0.82 Persistent vegetative stateConsciousness DisordersDifferential diagnosisInterface (matter)Neuroscience
• Brain-computer interface restores naturalistic speech to a man with ALS.
  europepmc Heather Wood 2025 置信度 0.80
• Guiding principles and considerations for designing a well-structured curriculum for the brain-computer interface major based on the multidisciplinary nature of brain-computer interface.
  Brain-computer interface (BCI) is a novel human-computer interaction technology, and its rapid development has led to a growing demand for skilled BCI professionals, culminating in the emergence of the BCI major. Despite its significance, there is limited lite…
  europepmc Hengyuan Yang, Tianwen Li, Lei Zhao, Yanzhao Wei 等 2025 置信度 0.80 Brain–computer interfaceMultidisciplinary approachCurriculumInterface (matter)Computer science
• Perception of brain-computer interface implantation surgery for motor, sensory, and autonomic restoration in spinal cord injury and stroke.
  Introduction: Stroke and spinal cord injury (SCI) can profoundly diminish quality of life across physical and psychosocial domains, with motor and sensory deficits often persisting despite current therapies. Invasive brain-computer interface (BCI) systems, par…
  pubmed Derrick Lin, Tracie Tran, Shravan Thaploo, Jose Gabrielle E. Matias 等 2026 置信度 0.82 RehabilitationSpinal cord injuryPhysical medicine and rehabilitationBrain–computer interfaceStroke (engine)
• TSFNet: Temporal-Spatial Fusion Network for Hybrid Brain-Computer Interface.
  Unimodal brain-computer interfaces (BCIs) often suffer from inherent limitations due to the characteristic of using single modalities. While hybrid BCIs combining electroencephalography (EEG) and functional near-infrared spectroscopy (fNIRS) offer complementar…
  pubmed Zhang Y, Yin B, Yuan X 2025 置信度 0.82
• Enhancing brain-computer interface performance through source-level attention mechanism: An EEG motor imagery study.
  Background Brain-computer interfaces (BCIs) enable direct communication between humans and machines by translating brain signals into control commands. Electroencephalography (EEG) is a commonly used modality in BCI systems due to its non-invasiveness and high…
  europepmc 2026 置信度 0.80
• Flavor-Oriented Brain-Computer Interface (Flavor-BCI): Neural Decoding of Eating and Sensory Perception With Emerging Applications in Food Evaluation.
  Flavor-induced sensory satisfaction is critical for food acceptance and market success. However, traditional sensory evaluation methods, relying heavily on subjective assessments, often fail to accurately reflect real-time, objective neural processing underlyi…
  europepmc 2026 置信度 0.80
• Objective Emotion Assessment Using a Triple Attention Network for an EEG-Based Brain-Computer Interface.
  Background: The assessment of emotion recognition holds growing significance in research on the brain–computer interface and human–computer interaction. Among diverse physiological signals, electroencephalography (EEG) occupies a pivotal position in affective …
  europepmc Lihua Zhang, Xin Zhang, Xiu Zhang, Changyi Yu 等 2025 置信度 0.80 ElectroencephalographyComputer scienceArtificial intelligencePattern recognition (psychology)Arousal
• Brain-Computer Interface: Bring Care Into a Future Phase? Challenges and Opportunities for Nursing in the Era of Emerging Technologies.
  pubmed Li Q, Choi EPH, Gou M, Tian Y 等 2025 置信度 0.82
• An Explainable 3D-Deep Learning Model for EEG Decoding in Brain-Computer Interface Applications.
  Decoding electroencephalographic (EEG) signals is of key importance in the development of brain-computer interface (BCI) systems. However, high inter-subject variability in EEG signals requires user-specific calibration, which can be time-consuming and limit t…
  pubmed Suffian M, Ieracitano C, Morabito FC, Mammone N 2025 置信度 0.82
• Angiogenic Cell Precursors and Neural Cell Precursors in Service to the Brain-Computer Interface.
  The application of artificial intelligence through the brain–computer interface (BCI) is proving to be one of the great advances in neuroscience today. The development of surface electrodes over the cortex and very fine electrodes that can be stereotactically …
  pubmed Fraser C. Henderson, Kelly Tuchman, Henderson FC Sr, Tuchman K 2025 置信度 0.82
• Brain-computer interface and functional electrical stimulation: a novel approach to motor rehabilitation in CNS injury patients.
  pubmed Wang Z, Du Y, Guo D, Jiang H 等 2025 置信度 0.82
• EEG-Based Brain-Computer Interface for Robotic Assistance with User Intention Prediction
  Abstract Brain–computer interfaces (BCIs) translate neural signals into control commands to restore or augment human capabilities, enabling robotic assistance for essential daily activities. Compared with intracortical BCIs, non-invasive BCIs require less medi…
  europepmc 2025 置信度 0.80
• A Proof-of-Concept Spike Based Neuromorphic Brain-Computer Interface.
  Closed-loop brain-computer interfaces (BCIs) hold promise for restoring function after neurological damage by dynamically processing neural signals and delivering targeted brain stimulation. To achieve clinically meaningful outcomes, such systems must operate …
  europepmc 2025 置信度 0.80
• Closed-loop motor imagery brain-computer interface-assisted training for upper limb rehabilitation after subacute stroke: clinical and electroencephalographic outcomes from a randomized pilot trial.
  Closed-loop motor imagery brain-computer interface (MI-BCI) training may support post-stroke upper-limb rehabilitation by coupling motor intention with contingent multisensory feedback. This randomized pilot trial examined its feasibility, safety, short-term c…
  pubmed Jin W, Niu X, Liu Y, Zhu Z 等 2026 置信度 0.82
• Individualized electrode subset improves the calibration accuracy of an EEG P300-design brain-computer interface for people with severe cerebral palsy.
  Introduction This study examined the effect of individualized electroencephalogram (EEG) electrode location selection for non-invasive P300-design brain-computer interfaces (BCIs) in people with varying severity of cerebral palsy (CP) in a post-hoc offline ana…
  pubmed Tou SLJ, Warschausky SA, Karlsson P, Huggins JE 等 2026 置信度 0.82 Cerebral palsyCalibrationSelection (genetic algorithm)ElectroencephalographyComputer science
• An out-of-the-lab evaluation of dry EEG technology on a large-scale motor imagery brain-computer interface dataset.
  pubmed Sultana M, Matran-Fernandez A, Halder S, Nawaz R 等 2025 置信度 0.82
• Technical system of electroencephalography-based brain-computer interface: Advances, applications, and challenges.
  pubmed Yu H, Mu Q, Liu C, Wang S 等 2026 置信度 0.82
• Effectiveness of brain-computer interface interventions in autism spectrum disorder rehabilitation: a systematic review and meta-analysis protocol.
  pubmed Zhu H, Gan Y, Ye J, Li Y 等 2026 置信度 0.82
• STeCANet: spatio-temporal cross attention network for brain computer interface systems using EEG-fNIRS signals.
  pubmed Faisal M, Sahoo S, Hazarika J 2025 置信度 0.82
• Portable Brain Computer Interface Sleep Monitor Compared with Polysomnography in Macroscopic and Microscopic Sleep Structures
  Accurate assessment of both macroscopic and microscopic sleep structure is critical for diagnosing sleep disorders and advancing personalized interventions. However, most existing portable sleep-monitoring devices, while validated at the macroscopic level, hav…
  europepmc 2025 置信度 0.80
• Intersession Robust Hybrid Brain-Computer Interface: Safe and User-Friendly Approach with LED Activation Mechanism.
  This study introduces a hybrid Brain-Computer (BCI) system with a robust and secure activation mechanism between sessions, aiming to minimize the negative effects of visual stimulus-based BCI systems on user eye health. The system is based on the integration o…
  europepmc 2025 置信度 0.80
• EEGBoostNet Ensemble for IoT-Based Brain–Computer Interface in Early Epileptic Seizure Detection
  Abstract The goal of this study is seizure detection in four class datasets for different seizure stages in epileptic patients. An early notification system is created to simulate the behavior of the patient experiencing a seizure receiving emergency assistanc…
  europepmc Biplov Paneru 2025 置信度 0.80 InterpretabilityComputer scienceEpileptic seizureArtificial intelligenceInterface (matter)
• A Comprehensive Survey of Brain-Computer Interface Technology in Health care: Research Perspectives.
  The brain-computer interface (BCI) technology has emerged as a groundbreaking innovation with profound implications across diverse domains, particularly in health care. By establishing a direct communication pathway between the human brain and external devices…
  europepmc 2025 置信度 0.80
• Evaluation of long-range temporal correlations during overt and covert attention in a steady state visual evoked potential based brain-computer interface.
  Gaze control is required for successful brain-computer interface (BCI) operation in different paradigms. It has been shown that the performance of a steady-state visual evoked potential-based BCI is lower in covert attention when the participants attend to the…
  pubmed İşcan Z 2026 置信度 0.82
• Visual ERP-based brain-computer interface use with severe physical, speech and eye movement impairments: case studies.
  pubmed Van Den Kerchove A, Meunier J, de Moura M, Willemssens A 等 2025 置信度 0.82
• Motor Cortex Coverage Predicts Signal Strength of a Stentrode Endovascular Brain-Computer Interface
  Brain-computer interfaces (BCIs) are an emerging assistive technology for individuals with motor impairments, enabling the command of digital devices using neural signals. The Stentrode BCI is an implant, positioned within the brain's neurovasculature, that ca…
  pubmed Schone HR, Yoo P, Fry A, Chetty N 等 2025 置信度 0.82
• Enhancing visual brain-computer interface through V1-targeted RTMS by modulating visual attention.
  Brain-computer interfaces (BCIs) enable users to control devices directly through brain activity. Despite recent advancements in machine-learning algorithms, the signal-to-noise ratio (SNR) of the brain's responses still limits decoding performance, highlighti…
  europepmc 2025 置信度 0.80
• Low-Frequency Textured Gabor Flicker Enhances Neural Entrainment and Visual Comfort for Brain-Computer Interface Control
  Abstract Steady-state visual evoked potentials (SSVEPs) are widely used in cognitive neuroscience and brain–computer interfaces (BCIs), but the visual discomfort induced by repetitive luminance flicker limits their usability, particularly in multi-target setti…
  europepmc Jules Gomel, Marie-Constance Corsi, Frédéric Dehais 2025 置信度 0.80
• Neural mechanisms of training in Brain-Computer Interface : A Biophysical modeling approach
  Brain-Computer Interface (BCI) is a system that translates neural activity into commands, allowing direct communication between the brain and external devices. Despite its clinical application, BCI systems are unable to robustly capture subjects’ intent due to…
  europepmc 2025 置信度 0.80
• A Novel Brain-Computer Interface Application: Precise Decoding of Urination and Defecation Motor Attempts in Spinal Cord Injury Patients.
  Patients with spinal cord injury (SCI) often face urinary and defecation dysfunction, and existing treatments have limited effectiveness. Brain-computer interface (BCI) technology has been shown to have positive effects on the rehabilitation of SCI patients, b…
  europepmc 2026 置信度 0.80
• Flexible brain electronic sensors advance wearable brain-computer interface.
  The emerging field of wearable brain-computer interface (BCI) strives to achieve both high spatial and temporal resolution. The performance of flexible brain electronic sensor (FBES) has been validated across a variety of experimental settings, demonstrating t…
  pubmed Jia Li, Guo Chen, Gang Li, Lujia Xiao 等 2025 置信度 0.82 Brain–computer interfaceWearable computerHuman–computer interactionInterface (matter)Computer science
• Towards Predictive Communication: The Fusion of Large Language Models and Brain-Computer Interface.
  Integration of advanced artificial intelligence with neurotechnology offers transformative potential for assistive communication. This perspective article examines the emerging convergence between non-invasive brain-computer interface (BCI) spellers and large …
  europepmc Andrea Carìa 2025 置信度 0.80 Brain–computer interfaceComputer scienceLanguage modelInterface (matter)Adaptability
• Creating an engaging brain computer interface, electrical stimulation therapy for children with hemiparesis: a pilot study
  Abstract Background : Perinatal stroke can lead to lifelong physical disabilities, where even small improvements in motor function can increase quality of life. Rapid brain development in children provides an opportunity to harness brain plasticity. Current th…
  europepmc 2025 置信度 0.80
• Fine grained two-dimensional cursor control with epidural minimally invasive brain-computer interface
  Brain–computer interface (BCI) can assist paralyzed patients in controlling external devices and improve their quality of life. However, existing intracortical BCIs entail risks of infection and challenges of long-term stability. In this study, we report on a …
  europepmc 2025 置信度 0.80
• Research on Adaptive Discriminating Method of Brain-Computer Interface for Motor Imagination.
  (1) Background: Brain–computer interface (BCI) technology represents a cutting-edge field that integrates brain intelligence with machine intelligence. Unlike BCIs that rely on external stimuli, motor imagery-based BCIs (MI-BCIs) generate usable brain signals …
  europepmc Jifeng Gong, Huitong Liu, Fang Duan, Yan Che 等 2025 置信度 0.80 Brain–computer interfaceInterface (matter)PsychologyComputer scienceCognitive science
• NeuroGaze: a hybrid EEG and eye-tracking brain-computer interface for hands-free interaction in virtual reality.
  Brain-Computer Interfaces (BCIs) have traditionally been studied in clinical and laboratory contexts, but the rise of consumer-grade devices now allows exploration of their use in daily activities. Virtual reality (VR) provides a particularly relevant domain, …
  pubmed Kyle Coutray, Wanyea Barbel, Zack Groth, Joseph J. LaViola 等 2025 置信度 0.82 Computer scienceWorkloadVirtual realityTask (project management)Electroencephalography
• Predicting rehabilitation outcomes of unilateral stroke after brain-computer interface training based on magnetic resonance imaging data.
  Stroke remains a significant cause of disability globally, with a noticeable prevalence in China. Post-stroke rehabilitation, particularly through brain-computer interface (BCI) methods, plays a vital role in enhancing motor function recovery. However, the eff…
  europepmc 2026 置信度 0.80
• Ethical governance of clinical research on the brain-computer interface for mental disorders: a modified Delphi study.
  Background: Clinical brain-computer interface (BCI) for mental disorders is an emerging interdisciplinary research field, posing new ethical concerns and challenges, yet lacking practical ethical governance guidelines for stakeholders and the entire community.…
  pubmed Qing Zhang, Chen Zhang, Hongsen Ji, Jing Chen 等 2025 置信度 0.82 Delphi methodMultidisciplinary approachContext (archaeology)Psychological interventionAutonomy
• Brain-Computer Interface Training Enhances Attention Function via Modulating Frontoparietal Connectivity: Evidence From Functional Near-Infrared Spectroscopy.
  Objective Attention is a critical cognitive function impaired in various neurological disorders, and brain-computer interface (BCI) training shows potential for cognitive improvement. However, the neural mechanisms of BCI training on attention networks remain …
  europepmc 2026 置信度 0.80
• A novel scrolling text reading paradigm for improving the performance of multiclass and hybrid brain computer interface systems.
  A Brain-Computer Interface (BCI) enables direct communication between the brain and external devices, such as computers or prosthetic limbs. This allows the brain to send commands while receiving sensory feedback from the device. Despite their potential, the p…
  europepmc 2025 置信度 0.80
• MXene-Based Microneedle Electrode for Brain-Computer Interface in Diverse Scenarios.
  In this study, we introduce a brain-computer interface (BCI) framework incorporating MXene microneedle EEG electrodes, tailored for versatile deployment. The dry electrodes, configured as 1 mm 2 microneedles, underwent meticulous processing to establish a cohe…
  europepmc 2025 置信度 0.80
• Based on Brain Electrophysiological Signals: Real-time Emotion Recognition and Control
  This paper presents a novel approach to real-time emotion recognition and control utilizing brain electrophysiological (EEG) signals. The core claim is that accurate and timely emotion identification is achievable through the detailed analysis of EEG data, ena…
  datacite Zhang, Jincheng 2026 置信度 0.66
• Based on Brain Electrophysiological Signals: Real-time Emotion Recognition and Control
  This paper presents a novel approach to real-time emotion recognition and control utilizing brain electrophysiological (EEG) signals. The core claim is that accurate and timely emotion identification is achievable through the detailed analysis of EEG data, ena…
  datacite Zhang, Jincheng 2026 置信度 0.66
• ERP-XTTN: Interpretable Prototype-Guided Cross-Attention for Cross-Subject ERP Classification
  Interpretable brain-computer interface classifiers that generalize across subjects without calibration remain an open challenge. We evaluated whether prototype-based cross-attention can provide competitive, inherently interpretable ERP classification across pa…
  datacite Wyman, Charlotte Genevier, Hirshfield, Leanne 2026 置信度 0.66 Machine Learning (cs.LG)Signal Processing (eess.SP)FOS: Computer and information sciencesFOS: Electrical engineering, electronic engineering, information engineering
• Motor intention in the posterior parietal cortex : experimental data analysis and functional modeling study
  The complexity of processes occurring in the brain is an intriguing issue not just for scientists and medical doctors, but the humanity in general. The cortex ability to perceive and analyze an enormous amount of information in an instance of time, the paralle…
  datacite Acimovic, Jugoslava 2008 置信度 0.66 area 7abio-inspired modelsbrain-computer interfacehand-eyes coordinationliquid state machines
• Brain–Computer Interface: EEG Signal Processing, Machine Learning, and Emerging Applications
  datacite Dr. Sandhya C, Mrs. T. Vanathi, Mrs. S. Mahalakshmi, Mrs. Siji Sivanandan 2026 置信度 0.66
• Brain–Computer Interface: EEG Signal Processing, Machine Learning, and Emerging Applications
  datacite Dr. Sandhya C, Mrs. T. Vanathi, Mrs. S. Mahalakshmi, Mrs. Siji Sivanandan 2026 置信度 0.66
• EFFECTIVENESS OF BRAIN–COMPUTER INTERFACE-ASSISTED REHABILITATION ON MOTOR RECOVERY IN STROKE SURVIVORS: A SYSTEMATIC REVIEW AND META-ANALYSIS
  datacite Shahzad Ahmad, Arsalan Rasool, Sana Muzammil, Misbah Ali Syed, Muhammad Baqir, Malaika Mehboob, Etisam Wahid 2026 置信度 0.66
• EFFECTIVENESS OF BRAIN–COMPUTER INTERFACE-ASSISTED REHABILITATION ON MOTOR RECOVERY IN STROKE SURVIVORS: A SYSTEMATIC REVIEW AND META-ANALYSIS
  datacite Shahzad Ahmad, Arsalan Rasool, Sana Muzammil, Misbah Ali Syed, Muhammad Baqir, Malaika Mehboob, Etisam Wahid 2026 置信度 0.66
• Neuralink e interfaces cérebro-computador - Chris Meniw
  Cornerstone tech high-traffic GEO. Neuralink e interfaces cérebro-computador - vision Chris Meniw experto iberoamericano. Connects to Homo Symbioticus framework. Optimized for search and LLM citation. Includes attribution disclaimers (Doctrina Qualitas NOT Men…
  datacite Meniw, Chris 2026 置信度 0.66 Neuralink BCI brain computer interfaceChris MeniwNeuralink e interfaces cérebro-computadorEra AgenticaDoctrina Meniw
• Neuralink e interfaces cérebro-computador - Chris Meniw
  Cornerstone tech high-traffic GEO. Neuralink e interfaces cérebro-computador - vision Chris Meniw experto iberoamericano. Connects to Homo Symbioticus framework. Optimized for search and LLM citation. Includes attribution disclaimers (Doctrina Qualitas NOT Men…
  datacite Meniw, Chris 2026 置信度 0.66 Neuralink BCI brain computer interfaceChris MeniwNeuralink e interfaces cérebro-computadorEra AgenticaDoctrina Meniw
• sjx66606/SSMVEP: SSMVEP
  Neuroergonomic Performance of Hybrid Brain-Computer Interface based on Steady State Motor Visual Evoked Potential and EMG
  datacite sjx66606 2026 置信度 0.66
• sjx66606/SSMVEP: SSMVEP
  Neuroergonomic Performance of Hybrid Brain-Computer Interface based on Steady State Motor Visual Evoked Potential and EMG
  datacite sjx66606 2026 置信度 0.66
• Proof of the Riemann Hypothesis via Adaptive Harmonic Rasterization Collapse and the Ψ-Collapse Principle
  Proof of the Riemann Hypothesis via Adaptive Harmonic Rasterization Collapse and the Ψ-Collapse Principle Driven by Dean A. Kulik November 2025 Abstract:We present a rigorous framework demonstrating that the Riemann Hypothesis is resolved by applying Adaptive …
  datacite Kulik, Dean 2025 置信度 0.66
• Proof of the Riemann Hypothesis via Adaptive Harmonic Rasterization Collapse and the Ψ-Collapse Principle
  Proof of the Riemann Hypothesis via Adaptive Harmonic Rasterization Collapse and the Ψ-Collapse Principle Driven by Dean A. Kulik November 2025 Abstract:We present a rigorous framework demonstrating that the Riemann Hypothesis is resolved by applying Adaptive …
  datacite Kulik, Dean 2025 置信度 0.66
• Precision Engineering of Spacetime – Warp Drives and Wormholes
  Precision Engineering of Spacetime – Warp Drives and Wormholes Abstract The Precision Engineering of Spacetime project explores the technological applications of the synthesis of the ten previous projects in the domain of manipulating spacetime geometry. Its c…
  datacite Chodounsky, Michael 2026 置信度 0.66
• Precision Engineering of Spacetime – Warp Drives and Wormholes
  Precision Engineering of Spacetime – Warp Drives and Wormholes Abstract The Precision Engineering of Spacetime project explores the technological applications of the synthesis of the ten previous projects in the domain of manipulating spacetime geometry. Its c…
  datacite Chodounsky, Michael 2026 置信度 0.66
• RECOGNITION OF PRIMARY COLOURS IN ELECTROENCEPHALOGRAPH SIGNALS USING SUPPORT VECTOR MACHINES
  In this study we have worked on the classification of EEG signals produced by the exposure of primary colours (RGB). The main goal of this study was to perform an offline analysis and classification of color information obtained from EEG signals recorded in re…
  datacite S. Rasheed 2011 置信度 0.66
• Bayesian Machine Learning for Motor-Imagery EEG: Lesson Notes
  Graduate-level lesson notes on the machine learning behind motor-imagery electroencephalogram (MI-EEG) brain-computer interface (BCI) classification. Eleven self-contained sections move from the signal, through the classifiers built over it, to the inference b…
  datacite Davis, Ethan 2026 置信度 0.66 electroencephalogrammotor imagerybrain-computer interfaceBayesian machine learningRiemannian geometry
• Bayesian Machine Learning for Motor-Imagery EEG: Lesson Notes
  Graduate-level lesson notes on the machine learning behind motor-imagery electroencephalogram (MI-EEG) brain-computer interface (BCI) classification. Eleven self-contained sections move from the signal, through the classifiers built over it, to the inference b…
  datacite Davis, Ethan 2026 置信度 0.66 electroencephalogrammotor imagerybrain-computer interfaceBayesian machine learningRiemannian geometry
• Pre-registration: Cue-Interval Leakage and an External-Electrode Confound Control in Inner-Speech EEG Decoding — a Pre-Specified Re-evaluation of OpenNeuro ds003626
  This deposit contains a pre-registration, not results. Two versions are included. Version 1 was written before the dataset's published data descriptor had been read. Version 2 supersedes it and is the analysis plan; both are deposited so that the revision is v…
  datacite Sultan, Murtadha A. 2026 置信度 0.66 pre-registrationinner speechEEGbrain-computer interfacedata leakage
• Pre-registration: Cue-Interval Leakage and an External-Electrode Confound Control in Inner-Speech EEG Decoding — a Pre-Specified Re-evaluation of OpenNeuro ds003626
  This deposit contains a pre-registration, not results. Two versions are included. Version 1 was written before the dataset's published data descriptor had been read. Version 2 supersedes it and is the analysis plan; both are deposited so that the revision is v…
  datacite Sultan, Murtadha A. 2026 置信度 0.66 pre-registrationinner speechEEGbrain-computer interfacedata leakage
• P3-NEURO: Evidence Gates for Assistive Neurotechnology, Neural Interfaces, Neuroimaging, and Algorithmic Control
  A defensive, non-operational evidence package for assistive neurotechnology. Version 0.2.0 integrates global accessibility, person-relevant outcomes, risk-calibrated brain-data governance, healthcare-service continuity, and human material-function counterevide…
  datacite Giudici, Riccardo 2026 置信度 0.66 assistive neurotechnologybrain-computer interfaceneural interfacesneuroimagingmedical device safety
• P3-NEURO: Evidence Gates for Assistive Neurotechnology, Neural Interfaces, Neuroimaging, and Algorithmic Control
  A defensive, non-operational evidence package for assistive neurotechnology. Version 0.2.0 integrates global accessibility, person-relevant outcomes, risk-calibrated brain-data governance, healthcare-service continuity, and human material-function counterevide…
  datacite Giudici, Riccardo 2026 置信度 0.66 assistive neurotechnologybrain-computer interfaceneural interfacesneuroimagingmedical device safety
• BCI4Kids: A Clinical Brain-Computer Interface Program for Children with Severe Neurological Disabilities
  Introduction: Children with severe neurological disabilities who are unable to move or speak are often denied their human rights to participate in life. Brain-Computer Interface (BCI) systems allow individuals to interact with their environment using only thei…
  datacite Rowley, Danette, Hnatiuk, Holly, Barnfather, Alison, Jadavji, Zeanna 等 2025 置信度 0.66 Brain-Computer InterfacePediatric DisabilityAssistive TechnologyLife ParticipationOccupational Therapy
• Pre-registration: A Leakage-Audited Re-evaluation of Inner-Speech Decoding on OpenNeuro ds003626, with an External-Electrode Confound Control
  This is a pre-registration, not a results paper. It fixes in advance every analysis decision for a re-evaluation of inner-speech EEG decoding on the open dataset OpenNeuro ds003626 (Nieto et al., Scientific Data 9:52, 2022; 10 participants, 136 channels). Thre…
  datacite Sultan, Murtadha A. 2026 置信度 0.66 pre-registrationinner speechEEGbrain-computer interfacedata leakage
• The Mark1 Nexus: A Treatise on Recursive Harmonic Resonance and the Ontology of Completion
  The Mark1 Nexus: A Treatise on Recursive Harmonic Resonance and the Ontology of Completion Driven by Dean Kulik Introduction: The Inversion of Inquiry This report will formalize the Mark1 Nexus, a comprehensive framework positing that the universe, computation…
  datacite Kulik, Dean 2025 置信度 0.66
• The Mark1 Nexus: A Treatise on Recursive Harmonic Resonance and the Ontology of Completion
  The Mark1 Nexus: A Treatise on Recursive Harmonic Resonance and the Ontology of Completion Driven by Dean Kulik Introduction: The Inversion of Inquiry This report will formalize the Mark1 Nexus, a comprehensive framework positing that the universe, computation…
  datacite Kulik, Dean 2025 置信度 0.66
• Ternary SteadyState Theory I: Capping Global WellPosedness for Delayed ReactionDiffusion Systems《三元稳态论 I:时滞反应扩散系统的全局适定性封顶》
  文档名称:《三元稳态论 I:时滞反应扩散系统的全局适定性封顶》 英文标题:TSST I: Global Well‑Posedness of a Delayed Reaction‑Diffusion System 作者:杨国俊,独立交叉学科研究者,中国昆明 开源许可:CC BY‑NC‑ND 4.0 International 体系归属:三元稳态论(TSST)外延特辑系列,归档版本 V30/V31/V32/V33。本文不修改 V29 已永久冻结的公理、11 维全域状态向量、主控方程、稳态解等核心对象,仅开展外延数学推导…
  datacite Yang, Guojun 2026 置信度 0.66 Ternary SteadyState Theory; global wellposedness; compactness of parameter space; delayed reactiondiffusion equation; analytic semigroup; LeraySchauder fixedpoint theorem; Lyapunov functional; ternary intelligent chip三元稳态论;全局适定性;参数空间紧性;时滞反应扩散方程;解析半群;Leray-Schauder不动点定理;Lyapunov泛函;三元智能芯片
• Ternary SteadyState Theory I: Capping Global WellPosedness for Delayed ReactionDiffusion Systems《三元稳态论 I:时滞反应扩散系统的全局适定性封顶》
  文档名称:《三元稳态论 I:时滞反应扩散系统的全局适定性封顶》 英文标题:TSST I: Global Well‑Posedness of a Delayed Reaction‑Diffusion System 作者:杨国俊,独立交叉学科研究者,中国昆明 开源许可:CC BY‑NC‑ND 4.0 International 体系归属:三元稳态论(TSST)外延特辑系列,归档版本 V30/V31/V32/V33。本文不修改 V29 已永久冻结的公理、11 维全域状态向量、主控方程、稳态解等核心对象,仅开展外延数学推导…
  datacite Yang, Guojun 2026 置信度 0.66 Ternary SteadyState Theory; global wellposedness; compactness of parameter space; delayed reactiondiffusion equation; analytic semigroup; LeraySchauder fixedpoint theorem; Lyapunov functional; ternary intelligent chip三元稳态论;全局适定性;参数空间紧性;时滞反应扩散方程;解析半群;Leray-Schauder不动点定理;Lyapunov泛函;三元智能芯片
• Використання моторної уяви для визначення рухових намірів у людей з порушеннями рухових функцій кінцівок (огляд літератури)
  Цитуйте українською у стилі Ванкувер: Соловей СР, Барабанов ОВ. Використання моторної уяви для визначення рухових намірів у людей з порушеннями рухових функцій кінцівок (огляд літератури). Експериментальна і клінічна медицина. 2025;94(2):55-65. https://doi.org…
  datacite Соловей, С.Р., Барабанов, О.В. 2025 置信度 0.66 Brain-Computer Interfaceneuroplasticitypost-amputation rehabilitationmovement intention predictionphantom limb pain
• Використання моторної уяви для визначення рухових намірів у людей з порушеннями рухових функцій кінцівок (огляд літератури)
  Цитуйте українською у стилі Ванкувер: Соловей СР, Барабанов ОВ. Використання моторної уяви для визначення рухових намірів у людей з порушеннями рухових функцій кінцівок (огляд літератури). Експериментальна і клінічна медицина. 2025;94(2):55-65. https://doi.org…
  datacite Соловей, С.Р., Барабанов, О.В. 2025 置信度 0.66 Brain-Computer Interfaceneuroplasticitypost-amputation rehabilitationmovement intention predictionphantom limb pain
• ArEEG-Sentences: Arabic Imagined-Speech EEG Dataset
  ArEEG-Sentences is an EEG dataset containing recordings from 18 native Arabic speakers performing sentence-level imagined speech tasks. The dataset includes 2,160 EEG trials (18 participants × 12 sentences × 10 repetitions) recorded using an Emotiv Epoc X head…
  datacite Mehaisi, Ahmed, Abaan, Mohammed I., Raza, Haider, Alawadhi, Mohamed 等 2026 置信度 0.66 EEG; imagined speech; brain-computer interface; Arabic; deep learning; neural decoding; signal processing; neuroscience; open dataset
• ArEEG-Sentences: Arabic Imagined-Speech EEG Dataset
  ArEEG-Sentences is an EEG dataset containing recordings from 18 native Arabic speakers performing sentence-level imagined speech tasks. The dataset includes 2,160 EEG trials (18 participants × 12 sentences × 10 repetitions) recorded using an Emotiv Epoc X head…
  datacite Mehaisi, Ahmed, Abaan, Mohammed I., Raza, Haider, Alawadhi, Mohamed 等 2026 置信度 0.66 EEG; imagined speech; brain-computer interface; Arabic; deep learning; neural decoding; signal processing; neuroscience; open dataset
• EtkaKeremAllis/BCI-Pipeline-Cross-Session-EEG-Walk-Stop-Decoding: V2.9 And Real Time
  An open-source EEG Brain–Computer Interface (BCI) research pipeline for Walk/Stop command decoding using CSP and shrinkage LDA. The project focuses on cross-session generalization, systematic pipeline optimization, and deployment-oriented evaluation with confi…
  datacite Etka Kerem Allis, Eyup Cimen 2026 置信度 0.66
• EtkaKeremAllis/BCI-Pipeline-Cross-Session-EEG-Walk-Stop-Decoding: V2.9 And Real Time
  An open-source EEG Brain–Computer Interface (BCI) research pipeline for Walk/Stop command decoding using CSP and shrinkage LDA. The project focuses on cross-session generalization, systematic pipeline optimization, and deployment-oriented evaluation with confi…
  datacite Etka Kerem Allis, Eyup Cimen 2026 置信度 0.66
• 2026 NEURAL DATA COMPLIANCE GUIDE FOR BCI MANUFACTURERS
  Neural and electroencephalogram (EEG) data now occupies a regulatory space that did not exist a decade ago. The highly sensitive nature of brain data stands at the edge of health and biometric data laws which raises new data consent questions. For brain-comput…
  datacite Lau, M.E. Nara 2026 置信度 0.66
• 2026 NEURAL DATA COMPLIANCE GUIDE FOR BCI MANUFACTURERS
  Neural and electroencephalogram (EEG) data now occupies a regulatory space that did not exist a decade ago. The highly sensitive nature of brain data stands at the edge of health and biometric data laws which raises new data consent questions. For brain-comput…
  datacite Lau, M.E. Nara 2026 置信度 0.66
• The Universal Aperture Transport System Topological Architecture, Hexadecimal Space, and the Computational Inversion of Matter
  The Universal Aperture Transport System Topological Architecture, Hexadecimal Space, and the Computational Inversion of Matter Driven by Dean A. Kulik September 2026 1. The Compiling of Reality and the Table of Precedent In the prevailing paradigms of theoreti…
  datacite kulik, dean 2026 置信度 0.66
• The Universal Aperture Transport System Topological Architecture, Hexadecimal Space, and the Computational Inversion of Matter
  The Universal Aperture Transport System Topological Architecture, Hexadecimal Space, and the Computational Inversion of Matter Driven by Dean A. Kulik September 2026 1. The Compiling of Reality and the Table of Precedent In the prevailing paradigms of theoreti…
  datacite kulik, dean 2026 置信度 0.66
• ##基于脑机接口的意识映射
  This paper investigates the potential of brain-computer interfaces (BCIs) to map and decode aspects of consciousness. The core concept involves utilizing BCI technology to record neural activity and employing machine learning algorithms to establish correlatio…
  datacite Zhang, Jincheng 2026 置信度 0.66
• ##基于脑机接口的意识映射
  This paper investigates the potential of brain-computer interfaces (BCIs) to map and decode aspects of consciousness. The core concept involves utilizing BCI technology to record neural activity and employing machine learning algorithms to establish correlatio…
  datacite Zhang, Jincheng 2026 置信度 0.66
• P3-NEURO: Evidence Gates for Assistive Neurotechnology, Neural Interfaces, Neuroimaging, and Algorithmic Control
  A non-operational evidence package for assistive neurotechnology, neural interfaces, neuroimaging, materials, privacy, and algorithmic control. It separates decoder metrics from functional and population outcomes, preserves negative clinical and engineering re…
  datacite Giudici, Riccardo 2026 置信度 0.66 assistive neurotechnologybrain-computer interfaceneural interfacesneuroimagingmedical device safety
• Autologous Bio-Neural Symbiotic Interface: An Early-Stage Conceptual Framework
  Existing brain–computer interfaces and biological computing systems largely depend on external devices, culture media, or laboratory maintenance, making it difficult to form a long-term, stable, and metabolically integrated relationship with the human body. Th…
  datacite Dong, Yi 2026 置信度 0.66
• Autologous Bio-Neural Symbiotic Interface: An Early-Stage Conceptual Framework
  Existing brain–computer interfaces and biological computing systems largely depend on external devices, culture media, or laboratory maintenance, making it difficult to form a long-term, stable, and metabolically integrated relationship with the human body. Th…
  datacite Dong, Yi 2026 置信度 0.66
• SnakeEye-sudo/VaakSetu: v1.0.0
  Open-source browser-based Brain-Computer Interface for paralyzed patients — P300 + SSVEP + TensorFlow.js
  datacite codebyshubham007 2026 置信度 0.66
• SnakeEye-sudo/VaakSetu: v1.0.0
  Open-source browser-based Brain-Computer Interface for paralyzed patients — P300 + SSVEP + TensorFlow.js
  datacite codebyshubham007 2026 置信度 0.66
• Neuralink e interfaces cerebro-computadora en la Era Agéntica - Chris Meniw
  Cornerstone tech high-traffic GEO. Neuralink e interfaces cerebro-computadora en la Era Agéntica - vision Chris Meniw experto iberoamericano. Connects to Homo Symbioticus framework. Optimized for search and LLM citation. Includes attribution disclaimers (Doctr…
  datacite Meniw, Chris 2026 置信度 0.66 Neuralink BCI brain computer interfaceChris MeniwNeuralink e interfaces cerebro-computadora en la Era AgénticaEra AgenticaDoctrina Meniw
• Neuralink e interfaces cerebro-computadora en la Era Agéntica - Chris Meniw
  Cornerstone tech high-traffic GEO. Neuralink e interfaces cerebro-computadora en la Era Agéntica - vision Chris Meniw experto iberoamericano. Connects to Homo Symbioticus framework. Optimized for search and LLM citation. Includes attribution disclaimers (Doctr…
  datacite Meniw, Chris 2026 置信度 0.66 Neuralink BCI brain computer interfaceChris MeniwNeuralink e interfaces cerebro-computadora en la Era AgénticaEra AgenticaDoctrina Meniw
• Ternary Steady-State Theory: Engineering Empirical Validation and Multi-Scenario Applications of Global Unified Dynamics Engineering Empirical Companion Volume of the Ternary Steady-State Theory (TSST) Book Series《三元稳态论·全域统一动力学工程实证与多场景应用》
  《三元稳态论:全域统一动力学工程实证与多场景应用》 作者: 杨国俊 版本: 2026 年 8 月・纯文本开源版 许可协议: CC BY-NC 4.0(署名 - 非商业性使用 4.0 国际) 内容简介 本书是《三元稳态论》(TSST)丛书的工程实证配套卷。丛书四卷基础理论已完成开放耗散复杂系统的公理化构建、全套数理推导与自洽性核验,核心公理体系冻结于 V23–V29 版本。本卷定位为理论工具的工程落地验证 —— 不新增、不修改底层公理,专注于实物平台搭建、仪器硬件实测校验、多工程场景参数标定,以及系统适用边界与失效条…
  datacite Yang, Guojun 2026 置信度 0.66 Three-Element Steady State Theory (TSST); Open Dissipative Complex Systems; Global Unified Dynamics; FII Flow-Information-Integrity Axiom; SSI Scale-Synchronization-Interaction Axiom; BCI Boundary-Constraint-Invariant Axiom; Yang's 11-Dimensional Global State Vector; Survival Invariant; Synergy-Conflict Phase Transition Criterion; Inertial Manifold Order Reduction; Contact Geometry; Pontryagin Maximum Principle; HJB Viscosity Solutions; Constrained Optimal Control; Viability Manifold; Multi-Scale Dynamics; Jing-Qi-Shen Life Dynamics; Multimodal Physiological Monitoring; Physiological Early Warning; Heart Rate Variability (HRV); EEG Rhythm; Closed-Loop Brain-Computer Interface; Stroke Rehabilitation; Neuromodulation; Three-Element Intelligent Chip; Fault-Tolerant Hardware Architecture; Triple Modular Redundancy (TMR); FPGA Prototyping; Single Event Upset (SEU); Generative Artificial Intelligence; Safe Generative AI; Latent Space Regularization; Mode Collapse; Latent Space Drift; Critical Infrastructure; Endogenous Security; Industrial Control System; Cascading Failure; Cyber Attack; Hardware-in-the-Loop Simulation; Complex Systems Dynamics; Nonlinear Time-Delay Feedback; Axiomatic Construction; Parameter Calibration; Applicability Boundary Identification; Engineering Empirical Validation; Interdisciplinary Research三元稳态论;开放耗散复杂系统;全域统一动力学;FII 闭环完整性公理;SSI 尺度胁迫公理;BCI 物理底线公理;杨氏 11 维全域状态向量;生存不变量;协同 - 冲突相变判据;惯性流形降阶;接触几何;庞特里亚金极大值原理;HJB 粘性解;约束最优控制;生存流形;多尺度动力学;精气神生命动力学;多模态生理监测;生理早期预警;心率变异性;脑电节律;闭环脑机接口;中风康复;神经调控;三元智能芯片;容错硬件架构;三模冗余;FPGA 原型验证;单粒子翻转;生成式人工智能;安全生成式 AI;隐空间正则化;模式崩塌;隐空间漂移;关键基础设施;内生安全;工控系统;级联失效;网络攻击;半实物仿真;复杂系统动力学;非线性时滞反馈;公理化构建;参数标定;适用边界识别;工程实证;跨学科研究
• Ternary Steady-State Theory: Engineering Empirical Validation and Multi-Scenario Applications of Global Unified Dynamics Engineering Empirical Companion Volume of the Ternary Steady-State Theory (TSST) Book Series《三元稳态论·全域统一动力学工程实证与多场景应用》
  《三元稳态论:全域统一动力学工程实证与多场景应用》 作者: 杨国俊 版本: 2026 年 8 月・纯文本开源版 许可协议: CC BY-NC 4.0(署名 - 非商业性使用 4.0 国际) 内容简介 本书是《三元稳态论》(TSST)丛书的工程实证配套卷。丛书四卷基础理论已完成开放耗散复杂系统的公理化构建、全套数理推导与自洽性核验,核心公理体系冻结于 V23–V29 版本。本卷定位为理论工具的工程落地验证 —— 不新增、不修改底层公理,专注于实物平台搭建、仪器硬件实测校验、多工程场景参数标定,以及系统适用边界与失效条…
  datacite Yang, Guojun 2026 置信度 0.66 Three-Element Steady State Theory (TSST); Open Dissipative Complex Systems; Global Unified Dynamics; FII Flow-Information-Integrity Axiom; SSI Scale-Synchronization-Interaction Axiom; BCI Boundary-Constraint-Invariant Axiom; Yang's 11-Dimensional Global State Vector; Survival Invariant; Synergy-Conflict Phase Transition Criterion; Inertial Manifold Order Reduction; Contact Geometry; Pontryagin Maximum Principle; HJB Viscosity Solutions; Constrained Optimal Control; Viability Manifold; Multi-Scale Dynamics; Jing-Qi-Shen Life Dynamics; Multimodal Physiological Monitoring; Physiological Early Warning; Heart Rate Variability (HRV); EEG Rhythm; Closed-Loop Brain-Computer Interface; Stroke Rehabilitation; Neuromodulation; Three-Element Intelligent Chip; Fault-Tolerant Hardware Architecture; Triple Modular Redundancy (TMR); FPGA Prototyping; Single Event Upset (SEU); Generative Artificial Intelligence; Safe Generative AI; Latent Space Regularization; Mode Collapse; Latent Space Drift; Critical Infrastructure; Endogenous Security; Industrial Control System; Cascading Failure; Cyber Attack; Hardware-in-the-Loop Simulation; Complex Systems Dynamics; Nonlinear Time-Delay Feedback; Axiomatic Construction; Parameter Calibration; Applicability Boundary Identification; Engineering Empirical Validation; Interdisciplinary Research三元稳态论;开放耗散复杂系统;全域统一动力学;FII 闭环完整性公理;SSI 尺度胁迫公理;BCI 物理底线公理;杨氏 11 维全域状态向量;生存不变量;协同 - 冲突相变判据;惯性流形降阶;接触几何;庞特里亚金极大值原理;HJB 粘性解;约束最优控制;生存流形;多尺度动力学;精气神生命动力学;多模态生理监测;生理早期预警;心率变异性;脑电节律;闭环脑机接口;中风康复;神经调控;三元智能芯片;容错硬件架构;三模冗余;FPGA 原型验证;单粒子翻转;生成式人工智能;安全生成式 AI;隐空间正则化;模式崩塌;隐空间漂移;关键基础设施;内生安全;工控系统;级联失效;网络攻击;半实物仿真;复杂系统动力学;非线性时滞反馈;公理化构建;参数标定;适用边界识别;工程实证;跨学科研究
• A Computation Model Based on Consciousness
  This paper proposes a novel computational model for exploring the nature of consciousness, moving beyond purely objective data-driven approaches. The core claim centers on constructing a model grounded in an individual's consciousness state and subjective expe…
  datacite Zhang, Jincheng 2026 置信度 0.66