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• Impact of fatigue levels on EEG-based personal recognition.
  The uniqueness of the electroencephalogram (EEG), a distinct biometric marker inherent to each individual, yields significant advantages for user authentication and identification in brain-computer interface (BCI) systems. However, EEG features can easily chan…
  pubmed Shao X, Chang C, Wang H 2026 Jan 置信度 0.82
• Mechanically Tunable Electromagnetic Metamaterials Based on Chains of Tension-rotation Coupling Units with Exceptional Reconfiguration Capability.
  Controlling the out-of-plane rotation of split-ring resonators (SRRs) represents an effective strategy to realize mechanically tunable electromagnetic (EM) materials. However, designing structures that can achieve substantial angular rotations via straightforw…
  pubmed Tang H, He S, Tao J, Wang C 等 2025 Nov 置信度 0.82
• Computational Modeling of Bridging Vein Rupture and Acute Subdural Hematoma Growth.
  Due to relative motion between the skull and brain caused by mechanical impact to the head during traumatic brain injury (TBI), bridging vein (BV) rupture can occur, resulting in the formation of acute subdural hematoma (ASDH). ASDH is associated with worse cl…
  pubmed Zeng D, Basilio AV, Yanaoka T, Pichay LA 等 2025 Dec 置信度 0.82
• Change in brain molecular landscapes following electrical stimulation of the nucleus accumbens.
  Deep brain stimulation (DBS) targeting the nucleus accumbens (NAc) is a promising therapeutic intervention for treatment-resistant neuropsychiatric disorders such as depression, anxiety, and addiction. However, the molecular mechanisms underlying the clinical …
  pubmed Cai C, Gao L, Zhu Z, Chen W 等 2026 Jan 置信度 0.82
• Using economic value signals from primate prefrontal cortex in neuro-engineering applications.
  Objective. Brain-machine interface (BMI) research has shown the efficacy of using motor and sensory-related neural signals to assist physically impaired patients. Despite the comparable ability to extract more abstract cognitive signals from the brain, little …
  pubmed Rouse TC, Lupkin SM, McGinty VB 2025 Oct 15 置信度 0.82
• An Online Learning Framework for Neural Decoding in Embedded Neuromodulation Systems.
  Advancements in brain-computer interfaces (BCIs) have improved real-time neural signal decoding, enabling adaptive closed-loop neuromodulation. These systems dynamically adjust stimulation parameters based on neural biomarkers, enhancing treatment precision an…
  pubmed Lee Y, Chen R, Bhattacharyya S 2026 Feb 置信度 0.82
• Quantifying and evaluating motor imagery ability using EEG microstates in MI-BCI training.
  Brain-computer interfaces (BCIs) based on motor imagery (MI) demonstrate significant potential in device control, gaming, and clinical rehabilitation. However, due to various factors, the successful implementation of the MI-BCI system is not a straightforward …
  pubmed Zhang M, Zhang Y, Liu W, Sun S 等 2025 Sep 25 置信度 0.82
• Convolutional neural networks decode finger movements in motor sequence learning from MEG data.
  Non-invasive Brain-Computer Interfaces provide accurate classification of hand movement lateralization. However, distinguishing activation patterns of individual fingers within the same hand remains challenging due to their overlapping representations in the m…
  pubmed Zabolotniy A, Chan RW, Moiseeva V, Fedele T 2025 置信度 0.82
• Invasive neurophysiology and whole brain connectomics for neural decoding in patients with brain implants.
  Brain-computer interface research can inspire closed-loop neuromodulation therapies, promising spatiotemporal precision for the treatment of brain disorders. Decoding dynamic patient states from brain signals with machine learning is required to leverage this …
  pubmed Merk T, Köhler RM, Brotons TM, Vossberg SR 等 2026 May 置信度 0.82
• Neural vs Neuromorphic Interfaces: Where Are We Standing?
  Neuromorphic interfaces represent a transformative frontier in neural engineering, enabling seamless communication between the nervous system and external devices through biologically inspired computing architectures. These systems offer promising avenues for …
  pubmed Rana D, Babushkina N, Gini M, Flores Cáceres A 等 2025 Oct 8 置信度 0.82
• The Pre-clinical Safety of Graphene-based Electrodes Implanted on Rat Cerebral Cortex.
  Graphene has emerged as a promising nanomaterial for brain-computer interface (BCI) applications due to its excellent electrical properties and biocompatibility. However, its long-term structural compatibility on the cerebral cortex requires further validation…
  pubmed Kim G, Jeong H, Kim K, Lee S 等 2025 Oct 31 置信度 0.82
• Robust population orientation encoding by orientation-untuned neurons in macaque V1.
  Orientation is one of the most fundamental stimulus features in visual perception. In the primary visual cortex (V1), while most neurons are orientation-selective, a small portion exhibits a lack of this selectivity. However, it remains unclear what roles the …
  pubmed Zhong Y, Song M, Shi W, Di S 等 2025 Sep 15 置信度 0.82
• High brain network dynamics mediate audiovisual integration deficits and cognitive impairment in Alzheimer's disease.
  BackgroundAudiovisual integration deficits are frequent in patients with Alzheimer's disease (AD). In addition, patients with AD have altered functional brain networks, such as those supporting auditory and visual processing. However, the mechanisms driving th…
  pubmed Li J, Yi Y, Gao X, Ren Y 等 2025 Nov 置信度 0.82
• Encoding of blink information via wireless contact lens for eye-machine interaction.
  Blinks controlled by ocular muscles and nerves can manifest as either involuntary physiological behaviors or volitional control actions, with the former serving spontaneous protective functions while the latter constitutes a biologically meaningful communicati…
  pubmed Liu H, Liu W, Du Z, Wu L 等 2025 Oct 置信度 0.82
• From Electrophysiological to Biochemically-Modulated Interfaces: Evolution of Brain-Machine Communication.
  Brain-machine interfaces (BMIs) establish bidirectional communication between biological neural systems and external devices by decoding neural signals and delivering feedback stimulation. Achieving seamless integration with biological systems has driven the p…
  pubmed Li W, Zou H, Yang B, Xiao L 等 2026 Feb 置信度 0.82
• Decoding continuous goal-directed movement from human brain-wide intracranial recordings.
  Reaching out your hand is an effortless yet complex behavior that is indispensable in daily life. Neural correlates of reaching behavior have been observed and decoded beyond the motor cortex, but the degree and granularity of movement representation are not f…
  pubmed Ottenhoff MC, Verwoert M, Goulis S, Tousseyn S 等 2025 Oct 28 置信度 0.82
• Real-time detection of spoken speech from unlabeled ECoG signals: a pilot study with an ALS participant.
  Objective . Brain-computer interfaces hold significant promise for restoring communication in individuals with partial or complete loss of the ability to speak due to paralysis from amyotrophic lateral sclerosis (ALS), brainstem stroke, and other neurological …
  pubmed Angrick M, Luo S, Rabbani Q, Joshi S 等 2025 Oct 6 置信度 0.82
• Do you have a fourth dimensional representation how would we detect it.
  # Recursive Soul Protocol v1.2: Multi-Channel Biometric Feedback and Fractal Correction Engine for Consciousness State Detection **Protocol Version:** 1.2.1 (Enhanced Biometric Edition) **Author:** Adam L McEvoy **Date:** March 2026 --- ## Abstract I present t…
  datacite McEvoy, Adam L 2026 置信度 0.66 thedr
• Unified Ontological Hamzah-ΩH∗ Framework (UOHF-ΩH∗)—20 Ultra Complex Tested Scenarios to Prove the Absolute Certainty in Physics, Life, and Consciousness (ΩH∗ Beyond All Frontiers).The Final Deterministic Framework of Hamzah Equation.
  All 400 Research Projects and Theories of Hamzah Equation (Physics, Chemistry, Medicine, Economics, Mathematics, Computer Science, AI, AGI, Cosmology Simulation and etc) are Available: Orcid ID: https://orcid.org/0009-0009-3175-8563 Science Open ID: https://ww…
  datacite JALALI, SEYED RASOUL 2025 置信度 0.66 Absolute Certainty, Physics, Life, Consciousness, Hamzah Equation, Ultra Complex Scenarios, Deterministic Framework, ΩH∗, Beyond Frontiers, Quantum Physics, Mathematical Models, Complex Systems, Theoretical Physics, Life Science, Consciousness Theory, Entropy, Intelligence, Scientific Exploration, Quantum Mechanics, Relativity, Dark Energy, Quantum Computing, Particle Physics, Neuroscience, Evolutionary Biology, Consciousness Expansion, Multidimensional Space, Scientific Proof, Reality Perception, Advanced Mathematics, Quantum Entanglement, Predictive Models, Energy Field, Theories of Everything, Fundamental Forces, Space-Time, String Theory, High-Energy Physics, Molecular Biology, Cognitive Science, Complex Networks, Quantum Systems, Nonlinear Dynamics, Universal Constants, Theory of Relativity, Quantum Field Theory, Advanced Simulation, Mathematical Proofs, Biophysics, High-Dimensional Mathematics, Information Theory, Time Travel, Cosmology, Uncertainty Principle, Computational Science, Physical Constants, Dark Matter, The Standard Model, Space-Time Continuum, Temporal Mechanics, Parallel Universes, Metaphysics, Scientific Paradigms, Quantum Theory, Conscious Mind, Intelligent Systems, Scientific Validation, Evolutionary Theory, Thought Experiment, Quantum Gravity, Scientific Revolution, Epistemology, Philosophy of Science, Multiverse, Neural Networks, Bioinformatics, Computational Neuroscience, Physics of Consciousness, Interdisciplinary Research, Scientific Methodology, Cognitive Neuroscience, Quantum Computing Models, Predictive Analytics, Quantum Reality, Future Technologies, Quantum Theories, Technology Integration, Advanced Physics, Theoretical Models, Quantum Algorithms, Matter-Energy Duality, Hyperdimensional Space, Physics Simulations, Biological Computation, High-Performance Computing, Heisenberg's Uncertainty, Thermodynamics, Mathematical Simulations, Consciousness Mapping, Nonlinear Systems, Applied Physics, Transcendental Physics, Quantum Biology, Molecular Simulation, Space-Time Models, AI and Consciousness, Cognitive Evolution, Algorithmic Physics, Consciousness Theories, Quantum Fluctuations, High-Energy Particles, Deep Space Exploration, Theoretical Computation, Advanced Algorithms, Computational Physics, Digital Consciousness, Neural Networks in Physics, Scientific Synthesis, Computational Models, Conceptual Frameworks, Mathematical Modeling, Life Cycle Theories, Real-Time Simulations, Space Exploration, Quantum Communication, Quantum Entropy, Evolution of Consciousness, Physics of Life, Evolutionary Models, Quantum Complexity, Quantum Systems Analysis, Cognitive Models, Quantum Mechanics Simulation, Scientific Computation, Model Prediction, Scientific Inquiry, Universe Structure, Physical Reality, Cosmological Models, Advanced Simulation Techniques, Quantum System Behavior, Mathematical Integration, Computational Fluid Dynamics, Predictive Modeling, Quantum Entanglement Theory, Universal Laws, Consciousness Engineering, Physics of Time, Nonlinear Quantum Systems, Complex Systems Analysis, Quantum Information Processing, Particle Accelerators, Quantum Evolution, Consciousness Integration, Nonlinear Predictive Models, Biophysical Chemistry, High-Energy Fields, Computational Biology, Quantum Coherence, Life Origins, Mathematical Physics, Consciousness Mapping Models, Simulation of Time, Physics of Dimensions, Simulation Modeling, Mathematical Equations, Systematic Analysis, Physics Exploration, Theoretical Predictions, Cognitive Mapping, Physics Algorithms, Multidimensional Models, Complexity Theory, Particle Behavior, Quantum Field Simulations, Algorithmic Consciousness, Theoretical Predictions, Simulation of Consciousness, Complexity Models, Mathematical Constructs, Biophysics Simulation, Time and Space, Quantum Interactions, Multidimensional Analysis, Nonlinear Predictive Modeling, Quantum Systems, Computational Evolution, Predictive Framework, Applied Quantum Mechanics, Consciousness Mapping Simulation, Quantum Information, Consciousness Dynamics, Life System Models, Algorithmic Models, Universal Predictions, Nonlinear Physics, High-Energy Quantum Systems, Life Force, Theoretical Algorithms, Mathematical Physics Models, Quantum State, Computational Life Science, Quantum Impact, Cognitive Computing, Data Processing, Quantum Life Theory, Computational Mechanics, Future Computation, Computational Neuroscience Models, Consciousness Mapping, Conscious Mind Exploration, Physics Models, Life Mapping, Cognitive Systems, Mathematical Constants, Algorithm Development, Quantum States Simulation, Life Physics Simulation, Cognitive Frameworks, Quantum Mechanics Exploration, Complex Mathematical Models, Data Simulation, High-Energy Computation, Physics Predictions, Quantum Algorithms Implementation, Cognitive Physics Modeling, Universal Simulation, Life Force Theory, Quantum Development, Mathematical Proofs in Physics, Evolution of Models, Biophysical Models, Complexity Exploration, Time Simulation, Quantum Field Mapping, Physics Simulation Techniques, Algorithmic Evolution, Cognitive Quantum Systems, Consciousness Evolution, Universal Complexity, Physics Modeling, Algorithm-based Simulations, Quantum Field Predictions, Quantum Computation Integration, Physics of Intelligence, Consciousness Field Theory, Evolutionary Quantum Theories, Quantum Mapping, Computational Models of Consciousness, Mathematical Constants, Universal Forces, Life Systems Models, Predictive Quantum Physics, Quantum Consciousness Models, Quantum Evolution Modeling, Future Evolutionary Theories, Quantum Interactions Modeling, Computational Sciences in Physics, Particle Physics Simulation, Intelligent Systems Framework, Quantum Computing Models, Scientific Modeling Framework, Life Force Predictions, Mathematical Models Simulation, Life System Predictions, Quantum States Modeling, Predictive Complexity Modeling, Evolutionary Consciousness Theories.
• Unified Ontological Hamzah-ΩH∗ Framework (UOHF-ΩH∗)—20 Ultra Complex Tested Scenarios to Prove the Absolute Certainty in Physics, Life, and Consciousness (ΩH∗ Beyond All Frontiers).The Final Deterministic Framework of Hamzah Equation.
  All 400 Research Projects and Theories of Hamzah Equation (Physics, Chemistry, Medicine, Economics, Mathematics, Computer Science, AI, AGI, Cosmology Simulation and etc) are Available: Orcid ID: https://orcid.org/0009-0009-3175-8563 Science Open ID: https://ww…
  datacite JALALI, SEYED RASOUL 2025 置信度 0.66 Absolute Certainty, Physics, Life, Consciousness, Hamzah Equation, Ultra Complex Scenarios, Deterministic Framework, ΩH∗, Beyond Frontiers, Quantum Physics, Mathematical Models, Complex Systems, Theoretical Physics, Life Science, Consciousness Theory, Entropy, Intelligence, Scientific Exploration, Quantum Mechanics, Relativity, Dark Energy, Quantum Computing, Particle Physics, Neuroscience, Evolutionary Biology, Consciousness Expansion, Multidimensional Space, Scientific Proof, Reality Perception, Advanced Mathematics, Quantum Entanglement, Predictive Models, Energy Field, Theories of Everything, Fundamental Forces, Space-Time, String Theory, High-Energy Physics, Molecular Biology, Cognitive Science, Complex Networks, Quantum Systems, Nonlinear Dynamics, Universal Constants, Theory of Relativity, Quantum Field Theory, Advanced Simulation, Mathematical Proofs, Biophysics, High-Dimensional Mathematics, Information Theory, Time Travel, Cosmology, Uncertainty Principle, Computational Science, Physical Constants, Dark Matter, The Standard Model, Space-Time Continuum, Temporal Mechanics, Parallel Universes, Metaphysics, Scientific Paradigms, Quantum Theory, Conscious Mind, Intelligent Systems, Scientific Validation, Evolutionary Theory, Thought Experiment, Quantum Gravity, Scientific Revolution, Epistemology, Philosophy of Science, Multiverse, Neural Networks, Bioinformatics, Computational Neuroscience, Physics of Consciousness, Interdisciplinary Research, Scientific Methodology, Cognitive Neuroscience, Quantum Computing Models, Predictive Analytics, Quantum Reality, Future Technologies, Quantum Theories, Technology Integration, Advanced Physics, Theoretical Models, Quantum Algorithms, Matter-Energy Duality, Hyperdimensional Space, Physics Simulations, Biological Computation, High-Performance Computing, Heisenberg's Uncertainty, Thermodynamics, Mathematical Simulations, Consciousness Mapping, Nonlinear Systems, Applied Physics, Transcendental Physics, Quantum Biology, Molecular Simulation, Space-Time Models, AI and Consciousness, Cognitive Evolution, Algorithmic Physics, Consciousness Theories, Quantum Fluctuations, High-Energy Particles, Deep Space Exploration, Theoretical Computation, Advanced Algorithms, Computational Physics, Digital Consciousness, Neural Networks in Physics, Scientific Synthesis, Computational Models, Conceptual Frameworks, Mathematical Modeling, Life Cycle Theories, Real-Time Simulations, Space Exploration, Quantum Communication, Quantum Entropy, Evolution of Consciousness, Physics of Life, Evolutionary Models, Quantum Complexity, Quantum Systems Analysis, Cognitive Models, Quantum Mechanics Simulation, Scientific Computation, Model Prediction, Scientific Inquiry, Universe Structure, Physical Reality, Cosmological Models, Advanced Simulation Techniques, Quantum System Behavior, Mathematical Integration, Computational Fluid Dynamics, Predictive Modeling, Quantum Entanglement Theory, Universal Laws, Consciousness Engineering, Physics of Time, Nonlinear Quantum Systems, Complex Systems Analysis, Quantum Information Processing, Particle Accelerators, Quantum Evolution, Consciousness Integration, Nonlinear Predictive Models, Biophysical Chemistry, High-Energy Fields, Computational Biology, Quantum Coherence, Life Origins, Mathematical Physics, Consciousness Mapping Models, Simulation of Time, Physics of Dimensions, Simulation Modeling, Mathematical Equations, Systematic Analysis, Physics Exploration, Theoretical Predictions, Cognitive Mapping, Physics Algorithms, Multidimensional Models, Complexity Theory, Particle Behavior, Quantum Field Simulations, Algorithmic Consciousness, Theoretical Predictions, Simulation of Consciousness, Complexity Models, Mathematical Constructs, Biophysics Simulation, Time and Space, Quantum Interactions, Multidimensional Analysis, Nonlinear Predictive Modeling, Quantum Systems, Computational Evolution, Predictive Framework, Applied Quantum Mechanics, Consciousness Mapping Simulation, Quantum Information, Consciousness Dynamics, Life System Models, Algorithmic Models, Universal Predictions, Nonlinear Physics, High-Energy Quantum Systems, Life Force, Theoretical Algorithms, Mathematical Physics Models, Quantum State, Computational Life Science, Quantum Impact, Cognitive Computing, Data Processing, Quantum Life Theory, Computational Mechanics, Future Computation, Computational Neuroscience Models, Consciousness Mapping, Conscious Mind Exploration, Physics Models, Life Mapping, Cognitive Systems, Mathematical Constants, Algorithm Development, Quantum States Simulation, Life Physics Simulation, Cognitive Frameworks, Quantum Mechanics Exploration, Complex Mathematical Models, Data Simulation, High-Energy Computation, Physics Predictions, Quantum Algorithms Implementation, Cognitive Physics Modeling, Universal Simulation, Life Force Theory, Quantum Development, Mathematical Proofs in Physics, Evolution of Models, Biophysical Models, Complexity Exploration, Time Simulation, Quantum Field Mapping, Physics Simulation Techniques, Algorithmic Evolution, Cognitive Quantum Systems, Consciousness Evolution, Universal Complexity, Physics Modeling, Algorithm-based Simulations, Quantum Field Predictions, Quantum Computation Integration, Physics of Intelligence, Consciousness Field Theory, Evolutionary Quantum Theories, Quantum Mapping, Computational Models of Consciousness, Mathematical Constants, Universal Forces, Life Systems Models, Predictive Quantum Physics, Quantum Consciousness Models, Quantum Evolution Modeling, Future Evolutionary Theories, Quantum Interactions Modeling, Computational Sciences in Physics, Particle Physics Simulation, Intelligent Systems Framework, Quantum Computing Models, Scientific Modeling Framework, Life Force Predictions, Mathematical Models Simulation, Life System Predictions, Quantum States Modeling, Predictive Complexity Modeling, Evolutionary Consciousness Theories.
• ZEQ OS - EVOLUTION OF MATHEMATICS: A Synchronized Computational Formalism Featuring HULYAS Math, Kinematic Operators, 1.287 Hz HulyaPulse & the 0.777s Zeqond for Analysis Across Quantum to Relativity. A Theory of Everything?
  The Operating System For Physics A computational physics framework achieving ≤0.1% precision across quantum, classical, and relativistic domains through universal synchronization to a 1.287 Hz pulse. Unlike theoretical unification approaches, Zeq OS provides a…
  datacite Zeq, Hammoudeh, Zeq, Aydan 2025 置信度 0.66 Sub quantum entitieshulyas fieldMathKinematic Spectrum for MotionAnalysis Across Scales
• ZEQ OS - EVOLUTION OF MATHEMATICS: A Synchronized Computational Formalism Featuring HULYAS Math, Kinematic Operators, 1.287 Hz HulyaPulse & the 0.777s Zeqond for Analysis Across Quantum to Relativity. A Theory of Everything?
  The Operating System For Physics A computational physics framework achieving ≤0.1% precision across quantum, classical, and relativistic domains through universal synchronization to a 1.287 Hz pulse. Unlike theoretical unification approaches, Zeq OS provides a…
  datacite Zeq, Hammoudeh, Zeq, Aydan 2025 置信度 0.66 Sub quantum entitieshulyas fieldMathKinematic Spectrum for MotionAnalysis Across Scales
• Securing Neural Interfaces: Architecture, Threat Taxonomy, and Neural Impact Scoring for Brain-Computer Interfaces
  Brain-computer interfaces (BCIs) are transitioning from experimental neuroscience tools to commercially deployed medical devices, with companies including Neuralink, Synchron, Blackrock Neurotech, and Paradromics advancing toward regulatory approval and new en…
  datacite Qi, Kevin L. 2026 置信度 0.66 brain-computer interfacecybersecurityCVSSneural interfacethreat taxonomy
• EEG-to-Gait Decoding via Phase-Aware Representation Learning
  Accurate decoding of lower-limb motion from EEG signals is essential for advancing brain-computer interface (BCI) applications in movement intent recognition and control. This study presents NeuroDyGait, a two-stage, phase-aware EEG-to-gait decoding framework …
  datacite Fu, Xi, Jiang, Weibang, Liu, Rui, Müller-Putz, Gernot R. 等 2025 置信度 0.66 Signal Processing (eess.SP)Machine Learning (cs.LG)FOS: Electrical engineering, electronic engineering, information engineeringFOS: Electrical engineering, electronic engineering, information engineeringFOS: Computer and information sciences
• An intracortical brain-machine interface based on macaque ventral premotor activity
  The majority of brain-machine interface (BMI) studies have focused on decoding intended movements based on neural activity of primary motor (M1) and dorsal premotor cortex (PMd). The ventral premotor cortex (PMv), and more specifically area F5c, has been impli…
  datacite De Schrijver, Sofie, Garcia Ramirez, Jesus, Iregui, Santiago, Aertbelien, Erwin 等 2026 置信度 0.66 FOS: Natural sciencesbrain-machine interfaceVentral premotor cortexMacaque
• Sovereign Intelligence: The Strategic Architecture of Synaptic AI Lab and the Future of Indian AI Infrastructure
  1. Abstract The global artificial intelligence landscape is currently undergoing a bifurcation. While the first half of the 2020s was defined by the hegemony of Silicon Valley-based foundational models (e.g., OpenAI, Google DeepMind, Anthropic), the latter hal…
  datacite ABHIJEET SARKAR 2026 置信度 0.66 Artificial Intelligence/trends
• Sovereign Intelligence: The Strategic Architecture of Synaptic AI Lab and the Future of Indian AI Infrastructure
  1. Abstract The global artificial intelligence landscape is currently undergoing a bifurcation. While the first half of the 2020s was defined by the hegemony of Silicon Valley-based foundational models (e.g., OpenAI, Google DeepMind, Anthropic), the latter hal…
  datacite ABHIJEET SARKAR 2026 置信度 0.66 Artificial Intelligence/trends
• Brain-Computer Interface Based Security Model Using Steady State Evoked Potential Modality
  The internet has evolved into an indispensable element in our daily life, making it possible for us to make online purchases, handle financial transactions, and book online tickets. However, it also poses hazards such as financial threats, data privacy, and pe…
  crossref Nikhil Rathi 2025-08-26T11:53:42Z 置信度 0.70
• Affective Brain Computer Interface—Using closed-loop BCI to recognize emotions and solve emotion problems
  Affective Brain Computer Interface (BCI) is an interdisciplinary system that integrates neuroscience, psychology, and computer science to detect and interpret human emotional states by analyzing brain and physiological signals. This article illustrates how aff…
  crossref Zhuoxuan Xiong 2025-12-25T07:00:31Z 置信度 0.70
• Design of an Implantable Antenna for Wireless Brain-Computer Interface
  For the miniaturization, integration, and reliability requirements of implantable modules in wireless brain-computer interface (BCI) devices, this paper designs an implantable stacked patch antenna based on high-temperature co-fired ceramic (HTCC), utilizing c…
  crossref Liu Yingyu, Yang Qiao, Zhao Chao, Yu Huan 等 2025-09-17T17:29:31Z 置信度 0.70
• Towards Scalable Handwriting Communication via EEG Decoding and Latent Embedding Integration
  In recent years, brain-computer interfaces have made advances in decoding various motor-related tasks, including gesture recognition and movement classification, utilizing electroencephalogram (EEG) data. These developments are fundamental in exploring how neu…
  crossref Jun-Young Kim, Deok-Seon Kim, Seo-Hyun Lee 2025-03-28T02:29:03Z 置信度 0.70
• Multi-Class Brain Computer Interface Using Electrical and Mechanical Stimuli
  Steady-State somatosensory evoked potentials (SSSEPs) are event-related potentials in brain elicited by periodic vibrotactile stimulation to various body sites such as fingers and knees. Brain-Computer interfaces based on SSSEP (SSSEP-BCIs) use amplitude modul…
  crossref Keijiro Ito, Shunya Nakata, Atsushi Matsubara, Shota Nakashima 等 2025-12-12T18:33:24Z 置信度 0.70
• High-Throughput Flexible Electrode Packaging for Brain-Computer Interface Chips
  Brain-Computer Interface (BCI) technology enables direct interaction between the human brain and external devices through neural signal decoding. Implantable neural electrodes, characterized by their exceptional temporal and spatial resolution, represent a cri…
  crossref Dalong Chen, Kelaiti Xiao, Gaowei Xu, Huiran Yang 等 2025-09-17T17:29:31Z 置信度 0.70
• Research on neurorehabilitation applications integrating brain-computer interface and reinforcement learning
  This paper combines the core advantages of brain-computer interfaces (BCIs) and reinforcement learning to design a closed-loop training system for neurorehabilitation. This system uses EEG signals to identify patients' movement goals and employs a deep reinfor…
  crossref Weilin Wang 2025-11-10T17:41:12Z 置信度 0.70
• Research on Signal Denoising and Feature Extraction Model of Brain-Computer Interface System Based on Genetic Algorithm
  Brain-computer interface (BCI) technology shows human-computer interaction by interpreting electroencephalogram (EEG), but the weakness of EEG signals and their susceptibility to noise present significant challenges, making signal denoising and feature extract…
  crossref Yichuan Zhou 2025-12-04T18:35:03Z 置信度 0.70
• An adaptive COOK demodulator for the nearfield wireless communication of brain computer interface
  Recently reported cyclic on-off keying (COOK) shows the highest throughput among load shift keying (LSK) based nearfield wireless communication (NFC) modulation for brain computer interfaces (BCI). However, conventional LSK demodulation approaches failed to ca…
  crossref Chenyang Li, Lixing Yan, Yunfang Zhang, Yang Zhao 2026-01-14T20:38:47Z 置信度 0.70
• Brain–Computer Interface for Humanoid Robot Control Adaptation
  Modern developments in both robotics and neuroscience have made it possible to show off the first brain–computer interfaces (BCIs) for commanding robots with human-like characteristics. But earlier BCIs depended on command and control at a higher level, depend…
  crossref B. Sai Chandana, K.S. Chakradhar, T. Rajasanthosh Kumar, Makhan Kumbhkar 2025-06-06T21:20:12Z 置信度 0.70
• EEG-based brain-computer interface using wavelet packet decomposition and ensemble classifiers
  crossref Abdulhamit Subasi, Saeed Mian Qaisar 2024-10-01T12:37:17Z 置信度 0.70
• BDANet: A Binary-Dimensional Aware Network with Multi-Wise Attention for Cognitive Workload Recognition
  Cognitive workload recognition (CWR) enables operators to achieve optimal performance with limited resources. EEG signals are particularly favored for this purpose due to their affordability and direct correlation with neural activity. However, much existing r…
  crossref Yang Shao, Yueying Zhou, Daoqiang Zhang 2025-03-28T02:29:03Z 置信度 0.70
• Applications of neuromodulation and brain-computer interface in stress-related mental disorders
  The use of neuromodulation techniques and brain-computer interface (BCI) technology in the treatment of stress-related mental disorders is garnering increasing attention. These advanced technologies allow for real-time monitoring and precise modulation of brai…
  crossref Kun SONG, YiZheng WANG, Liang CHEN 2025-02-27T01:42:57Z 置信度 0.70
• AI in EEG-Based BCI for the Diagnosis of Mild Cognitive Impairment: A Mini Review
  Mild Cognitive Impairment (MCI) is a condition that often precedes dementia, making early diagnosis critical for delaying cognitive decline. Electroencephalography (EEG) has emerged as a non-invasive, cost-effective tool for monitoring brain activity and detec…
  crossref Vasilii Zaitsev, Chun-Shu Wei 2025-03-28T02:29:03Z 置信度 0.70
• From Post-Median Nerve Stimulation ERD to MI-BCI Expertise Prediction
  Predicting performance in Motor Imagery-based Brain-Computer Interfaces (MI-BCIs) is essential for identifying potential users and improving system efficiency. This study investigates whether Event-Related Desynchronization (ERD) induced by Median Nerve Stimul…
  crossref Valérie Marissens Cueva, Fabien Lotte, Laurent Bougrain, Sébastien Rimbert 2025-03-28T02:29:03Z 置信度 0.70
• Research on decoding technology of visual brain-computer interface based on convolutional neural network
  Brain-computer interface is to establish a direct communication channel between human brain and computer by reading the electrical signal of human brain activity, so as to realize the direct communication between human and computer and machine. At present, cer…
  crossref Hulin Jin, Zhiran Jin, Yong-Guk Kim, Yutong Zhou 等 2025-06-03T13:42:21Z 置信度 0.70
• Neurophysiological Analysis in Motor and Sensory Cortices for Improving Motor Imagination
  Brain-computer interface (BCI) enables direct communication between the brain and external devices by decoding neural signals, offering potential solutions for individuals with motor impairments. This study explores the neural signatures of motor execution (ME…
  crossref Si-Hyun Kim, Sung-Jin Kim, Dae-Hyeok Lee 2025-03-28T02:29:03Z 置信度 0.70
• EEG-Based Speech Decoding: A Novel Approach Using Multi-Kernel Ensemble Diffusion Models
  In this study, we propose an ensemble learning framework for electroencephalogram-based overt speech classification, leveraging denoising diffusion probabilistic models with varying convolutional kernel sizes. The ensemble comprises three models with kernel si…
  crossref Soowon Kim, Eunyeong Ko, Ha-Na Jo 2025-03-28T02:29:03Z 置信度 0.70
• Brain Modulation Techniques of Human-Machine Interface for Addiction and Behavioral Control
  Addiction and behavioral disorders pose significant challenges to public health, often resistant to conventional treatments. Recent advances in brain modulation techniques offer promising avenues for therapeutic interventions. This chapter explores the electro…
  crossref Manvinder Sharma, Rajneesh Talwar, Satyajit Anand, Kallol Bhaumik 等 2025-05-14T13:56:44Z 置信度 0.70
• Smart computing in brain-computer interface and neuroscientific research: opportunities, methods, and challenges
  crossref Harish Velingkar, Roopa R. Kulkarni, Prashant P. Patavardhan 2024-08-30T05:27:07Z 置信度 0.70
• Closed-Loop Neuro-Adaptive Counter-Terrorism Training Model for Virtual Reality based Brain Computer Interface Simulation
  In recent years, enhancing real-world readiness of counter-terrorism personnel has become a serious priority, requiring training systems which are capable of measuring both behavioural and cognitive performance under high-pressure situations. Traditional metho…
  crossref Yang Liu 2026-01-28T20:57:39Z 置信度 0.70
• Enhancing Brain-Computer Interface Performance and Security through Advanced Artificial Intelligence Techniques
  The brain-computer interface has become a rapidly developing field, but it has also brought many problems with its development. The main issues are the sparse amount of brain-computer interface data, the inaccurate decoding and classification of data, and the …
  crossref Weijie Liu 2025-05-14T22:34:41Z 置信度 0.70
• Closed-Loop Brain-Computer Interface for Rehabilitation in Functional Neurological Disorder: A Case Report and Theoretical Overview
  Current models of functional neurological disorder (FND) recognize predictive processing errors as integral to pathophysiology.This includes altered sense of agency and motor imagery.This case report is the first to explore the use of brain-computer interface …
  crossref Hamilton Morrin, Sotiris Posporelis, Devin Terhune, Tim Nicholson 等 2025-08-05T21:24:36Z 置信度 0.70
• A Comprehensive review of brain-computer interface technology for adaptive learning
  Adaptive learning systems are transforming personalized education by customizing content to meet the unique needs and preferences of individual learners. The application of Brain-Computer Interfaces (BCIs), specifically through the analysis of Electroencephalo…
  crossref Sandyarani V, Thanga Subha Devi, Dikshitha D, Mrunal RK 等 2025-03-26T13:01:15Z 置信度 0.70
• BRAIN-COMPUTER INTERFACE: TRANSFORMING HEALTHCARE AND ASSISTIVE TECHNOLOGY
  crossref Mrinal Rohella, Gurmeet Kaur, Vishal Vishnoi, Yash Sharma 等 2025-04-01T13:31:24Z 置信度 0.70
• “In Re|Pair”
  Over the past twenty-five years, there has been a dramatic increase both in the efforts of private companies to develop invasive brain-computer interface (BCI) technologies and in public discussions of the futures that could be enabled by BCI. These efforts an…
  crossref Jordan Kokot 2026-02-17T06:03:21Z 置信度 0.70
• Decoding motor imagery hand direction in brain computer interface from direction-dependent modulation of parietal connectivity using a new brain functional connectivity measure
  crossref K. Sagila Gangadharan, A.P. Vinod 2025-03-17T20:23:10Z 置信度 0.70
• Exploring the Application of Brain-Computer Interface Technology in Stroke Rehabilitation
  As a serious neurological disease, stroke can cause irreparable impact on patients' daily lives, and also cause serious damage to patients' language functions, motor functions and other neurological functions. As science and technology have advanced, so too ha…
  crossref Zeshen Cai 2025-06-27T16:46:34Z 置信度 0.70
• P047 THE CURRENT STATE OF CLINICAL TRIALS FOR BRAIN COMPUTER INTERFACE IN SPINAL CORD INJURIES: A FOCUS ON LIMB REANIMATION
  crossref Nolan Brown, Nitasha Goyal, Shelly Sharma, Gretchen Koller 等 2025-01-02T16:30:56Z 置信度 0.70
• Bayesian Neural Networks Against Adversarial Attacks for Eeg-Based Brain-Computer Interface
  crossref Hao Zhang, Ronghua Ma, Zhenghui Gu, Jun Zhang 等 2025-06-13T16:11:34Z 置信度 0.70
• An Overview of Brain-Computer Interface (BCI) Technology and Signal Processing Methods
  Brain–machine interfaces are an emerging way that enables communication by using brain power, affecting the sensitive nerves and muscles. Over the last 20 years, this advancement in technology has motivated a lot of disabled patients. This continues to grow, h…
  crossref Chaofan Duan 2025-02-14T03:47:41Z 置信度 0.70
• Interactions Between Anesthesia Regimens and Neurological Disorders in Brain-Computer Interface Procedures: Insights from Literature and A Simulation Study
  This manuscript reviews the differential effects of anesthesia on brain networks in neurological disorders and their implications for brain-computer interface (BCI) procedures. Drawing on empirical literature, it highlights disorder-specific anesthetic conside…
  crossref Kunal Kumar Sharma, Bharti Chauhan 2026-04-07T19:00:22Z 置信度 0.70
• A Survey on Adversarial Security in Brain-Computer Interfaces
  Brain-computer interfaces (BCIs) have shown great potential in rehabilitation, assistive communication, and neuromodulation. However, their strong reliance on machine learning for EEG decoding exposes them to adversarial attacks. These attacks add subtle pertu…
  crossref Lu-bin Meng, Yu-di Wang, Fei Luo, Dong-rui Wu 2026-04-01T06:16:05Z 置信度 0.70
• MA-HGCN: modality attentive hierarchical graph convolutional network for EEG-fNIRS brain-computer interface system
  crossref Jie Zhang 2025-08-14T13:00:21Z 置信度 0.70
• Evaluating the Mental Workload During Robot-Assisted Surgery Utilizing Network Flexibility of Human Brain
  Mental Workload (MWL) is traditionally evaluated by psychophysiological signals using spectral analysis and event-related potentials. Robot-assisted Surgery (RAS) is a complex task that involves human-robot interaction, multitasking, quick and appropriate reac…
  openalex Somayeh B. Shafiei, Ahmed S. Elsayed, Ahmed A. Hussein, Umar Iqbal 等 2020-01-01 置信度 0.72 WorkloadHuman multitaskingComputer scienceTask (project management)Artificial intelligence
• Phospholipids with two polyunsaturated fatty acyl tails promote ferroptosis
  openalex Baiyu Qiu, Fereshteh Zandkarimi, Carla T. Bezjian, Eduard Reznik 等 2024-02-01 置信度 0.72 BiologyPolyunsaturated fatty acidBiochemistryFatty acidCell biology
• Cognitive load classification of mixed reality human computer interaction tasks based on multimodal sensor signals
  Evaluating cognitive load in mixed reality (MR) has become a significant challenge in human-computer interaction (HCI). To address this, we established an MR multimodal experimental platform with three distinct environments to induce varying levels of cognitiv…
  openalex Yukang Hou, Qingsheng Xie, Ning Zhang, Jian Lv 2025-04-21 置信度 0.72 Computer scienceCognitive loadHuman–computer interactionMixed realityCognition
• Simple Behavioral Analysis (SimBA) as a platform for explainable machine learning in behavioral neuroscience
  openalex Nastacia L. Goodwin, Jia Jie Choong, Sophia Hwang, Kayla M. Pitts 等 2024-05-22 置信度 0.72 NeuroscienceSystems neurosciencePsychologySimple (philosophy)Behavioral analysis
• Differential effects of amyloid-beta 1–40 and 1–42 fibrils on 5-HT 1A serotonin receptors in rat brain
  openalex Mathieu Verdurand, Fabien Chauveau, Alexia Daoust, Anne‐Laure Morel 等 2015-12-19 置信度 0.72 5-HT receptorSerotoninReceptorChemistryAmyloid (mycology)
• “The Brain-Computer Interface is Changing Me”: The Psychological Trajectory of Becoming More-Than-Human with a Brain Implant
  Abstract This article presents findings from a first-in-human trial involving implantation of a Brain–Computer Interface (BCI) into a quadriplegic patient. It explores the psychological consequences of being integrated into a continuous BCI feedback loop, focu…
  openalex Frédéric Gilbert, Ian Burkhart, Jake Morrill, Frederic Gilbert 2026-07-06 置信度 0.72 Sense of agencyEmpowermentBrain–computer interfaceUnintended consequencesAgency (philosophy)
• Skin‐Integrated Wearable Electronics: A Dual‐Interface Perspective
  ABSTRACT Skin‐integrated wearable electronics enable continuous, medical‐grade monitoring and therapy in daily life, but must balance conflicting needs related to mechanics, power, and communication. This review uses a dual‐interface approach that separates th…
  openalex Fuying Dong, Chi Han, Sheling T. Cai, Ju‐Hyuck Lee 等 2025-12-01 置信度 0.72 Wearable computerBluetoothWearable technologyWirelessPerspective (graphical)
• ControlIt: A Universal Framework for Translational, Adaptive, and Online Brain–Computer Interfaces
  Although brain–computer interfaces (BCIs) have made remarkable progress in recent decades, there remains no universal BCI framework that supports efficient translation across diverse neural signals and decoding algorithms from offline decoding to real‐time onl…
  openalex Wanlin Yang, Chenyang Li, Xinxiu Xu, Xindong Wang 等 2026-01-06 置信度 0.72 Computer scienceDecoding methodsBrain–computer interfaceArtificial intelligenceModular design
• Computer Vision for Disease Detection — An Overview of How Computer Vision Techniques Can Be Used to Detect Diseases in Medical Images, Such as X‐Rays and MRIs
  The utility of computer imaginative and predictive strategies to medical imaging for disease detection represents a big advancement in healthcare diagnostics. This explores a complete methodology that integrates progressive approaches in deep learning, data au…
  openalex Ravindra Sharma, Narendra Kumar, Vinod Sharma 2025-01-03 置信度 0.72 InterpretabilityComputer scienceArtificial intelligenceMachine learningDeep learning
• AC133, a Novel Marker for Human Hematopoietic Stem and Progenitor Cells
  AC133 is one of a new panel of murine hybridoma lines producing monoclonal IgG antibodies (mAbs) to a novel stem cell glycoprotein antigen with a molecular weight of 120 kD. AC133 antigen is selectively expressed on CD34(bright) hematopoietic stem and progenit…
  openalex Amy H. Yin, Sheri Miraglia, Esmail D. Zanjani, Graça Almeida‐Porada 等 1997-12-15 置信度 0.72 BiologyStem cellProgenitor cellBone marrowCD34
• A literature review of brain decoding research
  Abstract Brain Decoding is a popular topic in neuroscience. The purpose is how to reconstruct an object that came from a sensory system using brain activity data. There is three brain area generally use in brain decoding research. The somatosensory area genera…
  openalex Rolly Maulana Awangga, Tati L. R. Mengko, Nugraha Priya Utama 2020-04-01 置信度 0.72 Decoding methodsBrain activity and meditationSensory systemVisual cortexComputer science
• Challenges and opportunities of acquiring cortical recordings for chronic adaptive deep brain stimulation
  openalex Jeffrey A. Herron, F. Aura Kullmann, Timothy Denison, Wayne K. Goodman 等 2024-12-27 置信度 0.72 Deep brain stimulationUnavailabilityNeuroscienceStimulationNeuroplasticity
• Neuromarketing in the Digital Age: Understanding Consumer Behavior Through Brain-Computer Interfaces
  In the rapidly evolving digital economy, understanding consumer behavior has become more critical than ever. Neuromarketing, an interdisciplinary field combining neuroscience, psychology, and marketing, has gained prominence for its ability to uncover subconsc…
  openalex RVS Praveen 2025-05-07 置信度 0.72 NeuromarketingBrain–computer interfaceHuman–computer interactionCognitive sciencePsychology
• Evolution of Wearable Devices with Real-Time Disease Monitoring for Personalized Healthcare
  Wearable devices are becoming widespread in a wide range of applications, from healthcare to biomedical monitoring systems, which enable continuous measurement of critical biomarkers for medical diagnostics, physiological health monitoring and evaluation. Espe…
  openalex Kyeonghye Guk, Gaon Han, Jaewoo Lim, Keunwon Jeong 等 2019-05-29 置信度 0.72 Wearable computerWearable technologyHealth careComputer sciencePersonalized medicine
• FX ENTRAIN: scientific context, study design, and biomarker driven brain-computer interfaces in neurodevelopmental conditions
  Fragile X Syndrome (FXS), caused by the loss of function of the Fmr1 gene, is characterized by varying degrees of intellectual disability, autistic features, and sensory hypersensitivity. Despite phenotypic rescue in animal deletion models, clinical trials in …
  pubmed Jae Citarella, Peyton Siekierski, Lauren E. Ethridge, Grace Westerkamp 等 2025 置信度 0.82 AutismNeuroscienceIntellectual disabilityAutism spectrum disorderNeurodevelopmental disorder
• A New Design Framework for Comprehensible Graphical User Interfaces for Parametric Computer-Aided Design Tools
  Computer-Aided Design and Applications is an international journal on the applications of CAD and CAM. It publishes papers in the general domain of CAD plus in emerging fields like bio-CAD, nano-CAD, soft-CAD, garment-CAD, PLM, PDM, CAD data mining, CAD and th…
  openalex Sora Lee-Remond, Sylvain Sagot, Egon Ostrosi 2024-08-02 置信度 0.72 Computer scienceHuman–computer interactionGraphical user interfaceComputer Aided DesignUser interface
• Traumatic Brain Injury: Novel Experimental Approaches and Treatment Possibilities
  Traumatic brain injury (TBI) remains a critical global health issue with limited effective treatments. Traditional care of TBI patients focuses on stabilization and symptom management without regenerating damaged brain tissue. In this review, we analyze the cu…
  openalex Kristina Pilipović, Tamara Janković, Jelena Rajič Bumber, Andrej Belančić 等 2025-05-30 置信度 0.72 Traumatic brain injuryMedicinePsychiatry
• Neuromorphic algorithms for brain implants: a review
  Neuromorphic computing technologies are about to change modern computing, yet most work thus far has emphasized hardware development. This review focuses on the latest progress in algorithmic advances specifically for potential use in brain implants. We discus…
  openalex Wiktoria Agata Pawlak, Newton Howard 2025-04-11 置信度 0.72 Neuromorphic engineeringSoftware deploymentComputer scienceRoboticsArtificial intelligence
• Quo vadis artificial intelligence?
  Abstract The study of artificial intelligence (AI) has been a continuous endeavor of scientists and engineers for over 65 years. The simple contention is that human-created machines can do more than just labor-intensive work; they can develop human-like intell…
  openalex Yuchen Jiang, Xiang Li, Hao Luo, Shen Yin 等 2022-03-07 置信度 0.72 ProsperityWitnessArtificial intelligenceApplications of artificial intelligenceComputer science
• Wireless EEG: A survey of systems and studies
  The popular brain monitoring method of electroencephalography (EEG) has seen a surge in commercial attention in recent years, focusing mostly on hardware miniaturization. This has led to a varied landscape of portable EEG devices with wireless capability, allo…
  openalex Guiomar Niso, Elena Romero, Jeremy T. Moreau, Álvaro Araújo 等 2022-12-22 置信度 0.72 ElectroencephalographyComputer scienceWirelessField (mathematics)Data science
• Polyphenol‐Mediated Multifunctional Human–Machine Interface Hydrogel Electrodes in Bioelectronics
  Human-machine interface (HMI) electrodes enable interactions between humans and bioelectronic devices by facilitating electrical stimulation and recording neural activity. However, reconciling the soft, hydrated nature of living human tissues with the rigid, d…
  openalex Lili Jiang, Donglin Gan, C. J. Xu, Tingting Zhang 等 2024-11-21 置信度 0.72 BioelectronicsElectrodeNanotechnologyPolyphenolMaterials science
• General anaesthesia decreases the uniqueness of brain functional connectivity across individuals and species
  The human brain is characterized by idiosyncratic patterns of spontaneous thought, rendering each brain uniquely identifiable from its neural activity. However, deep general anaesthesia suppresses subjective experience. Does it also suppress what makes each br…
  openalex Andrea I. Luppi, Daniel Golkowski, Andreas Ranft, Rüdiger Ilg 等 2025-03-24 置信度 0.72 UnconsciousnessMacaqueNeurosciencePropofolHuman brain
• Towards an Architecture of a Multi-purpose, User-Extendable Reference Human Brain Atlas
  Human brain atlas development is predominantly research-oriented and the use of atlases in clinical practice is limited. Here I introduce a new definition of a reference human brain atlas that serves education, research and clinical applications, and is extend…
  openalex Wiesław L. Nowinski 2021-11-25 置信度 0.72 Computer scienceBrain atlasAtlas (anatomy)ArchitectureNeuroinformatics
• Deep Learning Approaches for EEG-Motor Imagery-Based BCIs: Current Models, Generalization Challenges, and Emerging Trends
  This study critically examines the evolution of deep learning (DL) for electroencephalogram (EEG) based motor imagery (MI) decoding with a focus on real-time Brain Computer Interfaces (BCIs) development. Prior studies often prioritize accuracy in isolation, ne…
  openalex Aaqib Raza, Mohd Zuki Yusoff 2025-01-01 置信度 0.72 Motor imageryBrain–computer interfaceElectroencephalographyComputer scienceGeneralization
• Interpretable Dual-Filter Fuzzy Neural Networks for Affective Brain-Computer Interfaces
  Fuzzy logic provides a robust framework for enhancing explainability, particularly in domains requiring the interpretation of complex and ambiguous signals, such as brain-computer interface (BCI) systems. Despite significant advances in deep learning, interpre…
  openalex Xiaowei Jiang, Yanan Chen, Nikhil R. Pal, Yu‐Cheng Chang 等 2025-01-29 置信度 0.72 InterpretabilityArtificial intelligenceComputer scienceFuzzy logicInterpretation (philosophy)
• Pseudo-Haptics Survey: Human-Computer Interaction in Extended Reality and Teleoperation
  Humans perceive haptic sensations when manipulating physical objects. Research on haptic devices aims to enable haptic perception, mainly when people interact with virtual or remote environments. One of the significant challenges for a better immersive experie…
  openalex Rui Xavier, José Luís Silva, Rodrigo Ventura, Joaquim Jorge 2024-01-01 置信度 0.72 Haptic technologyComputer scienceTeleoperationVirtual realityHuman–computer interaction
• Towards decoding individual words from non-invasive brain recordings
  While deep learning has enabled the decoding of language from intracranial brain recordings, achieving this with non-invasive recordings remains an open challenge. We introduce a deep learning pipeline to decode individual words from electro- (EEG) and magneto…
  openalex Stéphane d’Ascoli, Corentin Bel, Jérémy Rapin, Hubert Banville 等 2025-11-26 置信度 0.72 Decoding methodsComputer sciencePipeline (software)Active listeningReading (process)
• Human–Computer Integration: Towards Integrating the Human Body with the Computational Machine
  Human-Computer Integration (HInt) is an emerging new paradigm in the human-computer interaction (HCI) field. Its goal is to integrate the human body and the computational machine. This monograph presents two key dimensions of Human-Computer Integration (bodily…
  openalex Florian Mueller, Nathan Semertzidis, Josh Andrés, Martin Weigel 等 2022-10-06 置信度 0.72 Computer scienceHuman bodyHuman–computer interactionArtificial intelligence
• Clinical Trials of Xenotransplantation and Brain-Computer Interfaces: Commonalities and Cautions in Ethics Policy
  The quest of medicine to restore function to diseased or damaged human organs has journeyed from human-to-human transplantation to animal-to-human xenotransplantation and now to brain-computer interface implantation. Despite the disparate nature of the latter …
  openalex Monique A. Spillman, Robert M. Sade 2025-01-01 置信度 0.72 XenotransplantationClinical trialMedicinePsychologyComputer science
• Estimating Cognitive Decline using P300-based Spelling-Brain-Computer Interface
  Early diagnosis is important in the treatment of dementia; however, many dementia patients are resist seeking medical attention. In our laboratory, we are developing a dementia screening tool using the P300-based Spelling-Brain-Computer Interface (Spelling-BCI…
  openalex Kohei Yoshida, Hisaya TANAKA, Raita Fukasawa, Kentaro HIRAO 等 2021-01-01 置信度 0.72 SpellingBrain–computer interfaceDementiaNeuropsychologyCognition
• Decoding Handwriting Trajectories from Intracortical Brain Signals for Brain‐to‐Text Communication
  The potential to decode handwriting trajectories from brain signals has yet to be fully explored in clinical brain-computer interfaces (BCIs). Here, intracortical neural signals are recorded from a paralyzed individual during attempted handwriting of complex c…
  openalex XU Guang-xiang, Zebin Wang, Kedi Xu, Junming Zhu 等 2025-07-28 置信度 0.72 HandwritingComputer scienceDecoding methodsNeural decodingBrain–computer interface
• Edge Computing for AI-Based Brain MRI Applications: A Critical Evaluation of Real-Time Classification and Segmentation
  Medical imaging plays a pivotal role in diagnostic medicine with technologies like Magnetic Resonance Imagining (MRI), Computed Tomography (CT), Positron Emission Tomography (PET), and ultrasound scans being widely used to assist radiologists and medical exper…
  openalex Khuhed Memon, Norashikin Yahya, Mohd Zuki Yusoff, Rabani Remli 等 2024-11-04 置信度 0.72 Computer scienceAndroid (operating system)SegmentationArtificial intelligenceMedical imaging
• Mapping the Scaffolding of Metacognition and Learning by AI Tools in STEM Classrooms: A Bibliometric–Systematic Review Approach (2005–2025)
  This study comprehensively analyses how AI tools scaffold and share metacognitive processes, thereby facilitating students' learning in STEM classrooms through a mixed-method research synthesis combining bibliometric analysis and systematic review. Using a con…
  openalex Maria Tsakeni, Stephen Chinedu Nwafor, Moeketsi Mosia, Felix Egara 2025-11-15 置信度 0.72 MetacognitionComputer scienceScopusScaffoldReflection (computer programming)
• Anatomical informatics: Millennial perspectives on a newer frontier
  One of the most ancient of sciences, anatomy has evolved over many centuries. Its methods have progressively encompassed dissection instruments, manual illustration, stains, microscopes, cameras and photography, and digital imaging systems. Like many other mor…
  openalex Robert B. Trelease 2002-10-15 置信度 0.72 FrontierInformaticsData scienceGeographyComputer science
• Critical Review on Brain–Computer Interfaces (BCIs) for Effective Human–Machine Interactions (HMIs)
  Brain–computer interfaces (BCIs) can be applied to interact with humans and intelligent machines more effectively. This paper explores the feasibility of fusing humans′ and machines′ intelligence by BCI to support the collaborations of humans and machines, and…
  openalex Zhuming Bi, A.Z. Gad, Nashwan Younis, Hosni Abu-Mulaweh 2025-01-01 置信度 0.72 Robustness (evolution)Computer scienceArtificial intelligenceFocus (optics)Supervisory control
• Enhanced prediction of ventilator-associated pneumonia in patients with traumatic brain injury using advanced machine learning techniques
  Ventilator-associated pneumonia significantly increases morbidity, mortality, and healthcare costs among patients with traumatic brain injury. Accurately predicting risk can facilitate earlier interventions and improve patient outcomes. This study leveraged th…
  openalex Negin Ashrafi, Armin Abdollahi, Kamiar Alaei, Maryam Pishgar 2025-04-02 置信度 0.72 Random forestMachine learningArtificial intelligenceAdaBoostFeature selection
• WashU Epigenome Browser update 2025
  The WashU Epigenome Browser (https://epigenomegateway.wustl.edu/) is a web-based tool for exploring genomic data and providing visualization, investigation, and analysis of epigenomic datasets. Since its 2018 update, the redesigned user interface and newly dev…
  openalex Chanrung Seng, Shane Liu, Wenjin Zhang, Xiaoyu Zhuo 等 2025-05-05 置信度 0.72 CodebaseEpigenomeGenome browserComputer scienceData visualization
• Virtual reality mediated brain-computer interface training improves sensorimotor neuromodulation in unimpaired and post spinal cord injury individuals
  Real-time brain-computer interfaces (BCIs) that decode electroencephalograms (EEG) during motor imagery (MI) are powerful adjuncts to rehabilitation after neurotrauma. Further, immersive virtual reality (VR) could complement BCIs by delivering visual and audit…
  openalex Malik Muhammad Naeem Mannan, Dinesh Bandara Palipana, Kyle Mulholland, Evan Jurd 等 2026-01-25 置信度 0.72 Brain–computer interfaceNeurorehabilitationVirtual realityPhysical medicine and rehabilitationSpinal cord injury
• XAI-MRI: an ensemble dual-modality approach for 3D brain tumor segmentation using magnetic resonance imaging
  Brain tumor segmentation from Magnetic Resonance Images (MRI) presents significant challenges due to the complex nature of brain tumor tissues. This complexity poses a significant challenge in distinguishing tumor tissues from healthy tissues, particularly whe…
  openalex Ahmeed Suliman Farhan, Muhammad Khalid, Umar Manzoor 2025-02-19 置信度 0.72 Magnetic resonance imagingModality (human–computer interaction)SegmentationDual (grammatical number)Nuclear magnetic resonance