仿生智能 · 全部实体（第 1 / 100 页）

本页收录第 1–100 条，共 9978 条 · 返回 仿生智能 首页

• Dual-use capabilities of concern of biological AI models
  openalex 2025 置信度 0.90 Bacillus and Francisella bacterial researchLaw, AI, and Intellectual PropertyCell Image Analysis Techniques
• High-resolution AI image dataset for diagnosing oral submucous fibrosis and squamous cell carcinoma
  openalex 2024 置信度 0.90 Oral Health Pathology and TreatmentAI in cancer detectionHead and Neck Cancer Studies
• Advancing CAR T-cell Therapies with Artificial Intelligence: Opportunities and Challenges
  openalex 2025 置信度 0.90 CAR-T cell therapy researchBiosimilars and Bioanalytical Methods
• Phytopathogen Effector Biology in the Burgeoning AI Era
  openalex 2025 置信度 0.90 Plant-Microbe Interactions and ImmunityPlant Pathogens and Fungal DiseasesPlant Parasitism and Resistance
• Artificial intelligence and chimeric antigen receptor T-cell therapy
  openalex 2022 置信度 0.90 CAR-T cell therapy researchAdvanced Machining and Optimization TechniquesAdvancements in Semiconductor Devices and Circuit Design
• Biology-based AI Predicts T-cell Receptor Antigen Binding Specificity
  openalex 2024 置信度 0.90 CAR-T cell therapy research
• Abstract 3000: A data-driven and AI-empowered systems biology model of MHC class I antigen presentation pathway
  openalex 2023 置信度 0.90 vaccines and immunoinformatics approachesCancer Immunotherapy and BiomarkersImmunotherapy and Immune Responses
• Artificial intelligence–coupled plasmonic infrared sensor for detection of structural protein biomarkers in neurodegenerative diseases
  openalex 2023 置信度 0.90 Parkinson's Disease Mechanisms and TreatmentsElectrochemical sensors and biosensorsAdvanced Chemical Sensor Technologies
• A Ruthenium Antimetastasis Agent Forms Specific Histone Protein Adducts in the Nucleosome Core
  openalex 2011 置信度 0.90 Ferrocene Chemistry and ApplicationsMetal complexes synthesis and propertiesAdvanced biosensing and bioanalysis techniques
• Harnessing the power of artificial intelligence to advance cell therapy
  openalex 2023 置信度 0.90 CRISPR and Genetic EngineeringViral Infectious Diseases and Gene Expression in InsectsCAR-T cell therapy research
• Integrative Approaches to Abiotic Stress Management in Crops: Combining Bioinformatics Educational Tools and Artificial Intelligence Applications
  openalex 2024 置信度 0.90 Genetics, Bioinformatics, and Biomedical ResearchGenetics and Plant BreedingGenetic Mapping and Diversity in Plants and Animals
• An Organoruthenium Anticancer Agent Shows Unexpected Target Selectivity For Plectin
  openalex 2017 置信度 0.90 Skin and Cellular Biology ResearchCell Adhesion Molecules ResearchGlycosylation and Glycoproteins Research
• Advancing microbial production through artificial intelligence-aided biology
  openalex 2024 置信度 0.90 Viral Infectious Diseases and Gene Expression in InsectsMicrobial Metabolic Engineering and Bioproductionvaccines and immunoinformatics approaches
• Learning the language of plant immunity: opportunities and challenges for AI-assisted modelling of fungal effector x host protein complexes
  openalex 2025 置信度 0.90 Plant-Microbe Interactions and ImmunityPlant Pathogens and Fungal DiseasesPlant Pathogenic Bacteria Studies
• Artificial Intelligence in Systems Biology
  openalex 2021 置信度 0.90 Genetics, Bioinformatics, and Biomedical Research
• Artificial Intelligence (AI)-Based Systems Biology Approaches in Multi-Omics Data Analysis of Cancer
  openalex 2020 置信度 0.90 Bioinformatics and Genomic NetworksGene expression and cancer classificationCancer Genomics and Diagnostics
• AI-empowered perturbation proteomics for complex biological systems
  openalex 2024 置信度 0.90 Advanced Proteomics Techniques and ApplicationsCell Image Analysis TechniquesGene Regulatory Network Analysis
• The transformative potential of AI-driven CRISPR-Cas9 genome editing to enhance CAR T-cell therapy
  openalex 2024 置信度 0.90 CRISPR and Genetic EngineeringCAR-T cell therapy researchViral Infectious Diseases and Gene Expression in Insects
• scGPT: toward building a foundation model for single-cell multi-omics using generative AI
  openalex 2024 置信度 0.90 Single-cell and spatial transcriptomicsCell Image Analysis TechniquesGene expression and cancer classification
• Paeoniflorin, a Natural Neuroprotective Agent, Modulates Multiple Anti-Apoptotic and Pro-apoptotic Pathways in Differentiated PC12 Cells
  openalex 2013 置信度 0.90 Cell death mechanisms and regulationNeuroscience and Neuropharmacology ResearchSignaling Pathways in Disease
• Elucidating the role of artificial intelligence in drug development from the perspective of drug-target interactions
  openalex 2024 置信度 0.90 Computational Drug Discovery MethodsGenetics, Bioinformatics, and Biomedical ResearchBioinformatics and Genomic Networks
• Precise genome editing process and its applications in plants driven by AI
  openalex 2025 置信度 0.90 CRISPR and Genetic EngineeringGenetics, Aging, and Longevity in Model OrganismsAnimal Genetics and Reproduction
• Elaborating the potential of Artificial Intelligence in automated CAR-T cell manufacturing
  openalex 2023 置信度 0.90 CAR-T cell therapy researchBiosimilars and Bioanalytical MethodsBiomedical and Engineering Education
• Interference with AI-2-mediated bacterial cell–cell communication
  openalex 2005 置信度 0.90 Bacterial biofilms and quorum sensingMicrobial Community Ecology and PhysiologyBacterial Genetics and Biotechnology
• Toward Rapid, Widely Available Autologous CAR-T Cell Therapy – Artificial Intelligence and Automation Enabling the Smart Manufacturing Hospital
  openalex 2022 置信度 0.90 CAR-T cell therapy researchViral Infectious Diseases and Gene Expression in InsectsBiomedical and Engineering Education
• Optimizing CAR T-cell therapy for glioblastoma: AI, dose selection, and future directions
  openalex 2025 置信度 0.70 CAR-T cell therapy researchBiosimilars and Bioanalytical MethodsCell Image Analysis Techniques
• P-034 Revolutionizing sperm morphology assessment: A novel artificial intelligence optic microscope (AIOM)-powered platform for consistent and reliable analysis in male infertility diagnosis
  openalex 2024 置信度 0.70 Sperm and Testicular FunctionReproductive Biology and Fertility
• Combining DC-GAN with ResNet for blood cell image classification
  openalex 2020 置信度 0.70 Digital Imaging for Blood DiseasesAI in cancer detectionCOVID-19 diagnosis using AI
• PlantScience.ai: An LLM-powered virtual scientist for plant science
  openalex 2026 置信度 0.70 Genetics, Bioinformatics, and Biomedical ResearchCell Image Analysis TechniquesScientific Computing and Data Management
• Prediction of pathological staging and grading of renal clear cell carcinoma based on deep learning algorithms
  openalex 2022 置信度 0.70 Renal cell carcinoma treatmentAI in cancer detectionArtificial Intelligence in Healthcare
• Textural differences between renal cell carcinoma subtypes: Machine learning-based quantitative computed tomography texture analysis with independent external validation
  openalex 2018 置信度 0.70 Radiomics and Machine Learning in Medical ImagingRenal cell carcinoma treatmentAI in cancer detection
• New regulatory thinking is needed for AI-based personalised drug and cell therapies in precision oncology
  openalex 2024 置信度 0.70 Artificial Intelligence in Healthcare and EducationBiomedical and Engineering EducationBiomedical Ethics and Regulation
• Organellomics: AI-driven deep organellar phenotyping reveals novel ALS mechanisms in human neurons
  openalex 2024 置信度 0.70 Cell Image Analysis TechniquesAdvanced Fluorescence Microscopy TechniquesRNA Research and Splicing
• Artificial intelligence-driven biomedical genomics
  openalex 2023 置信度 0.70 Gene expression and cancer classificationGenetics, Bioinformatics, and Biomedical ResearchCancer Genomics and Diagnostics
• Revolutionizing multi‐omics analysis with artificial intelligence and data processing
  openalex 2025 置信度 0.70 Bioinformatics and Genomic NetworksGene expression and cancer classificationMetabolomics and Mass Spectrometry Studies
• Artificial intelligence in cancer research: learning at different levels of data granularity
  openalex 2021 置信度 0.70 Gene expression and cancer classificationAI in cancer detectionBioinformatics and Genomic Networks
• The LuxS‐dependent autoinducer AI‐2 controls the expression of an ABC transporter that functions in AI‐2 uptake in Salmonella typhimurium
  openalex 2001 置信度 0.70 Bacterial Genetics and BiotechnologyAntibiotic Resistance in BacteriaBacterial biofilms and quorum sensing
• Assessing the robustness of decentralized gathering: a multi-agent approach on micro-biological systems
  openalex 2020 置信度 0.70 Slime Mold and Myxomycetes ResearchNonlinear Dynamics and Pattern FormationEvolutionary Game Theory and Cooperation
• An Integrated Multi-Omics and Artificial Intelligence Framework for Advance Plant Phenotyping in Horticulture
  openalex 2023 置信度 0.70 Species Distribution and Climate ChangeSmart Agriculture and AIGenetic Mapping and Diversity in Plants and Animals
• Design, Synthesis, and Cytotoxicity Assessment of [64Cu]Cu-NOTA-Terpyridine Platinum Conjugate: A Novel Chemoradiotherapeutic Agent with Flexible Linker
  openalex 2021 置信度 0.70 Radiopharmaceutical Chemistry and ApplicationsMetal complexes synthesis and propertiesAdvanced biosensing and bioanalysis techniques
• Deep generative classification of blood cell morphology
  openalex 2025 置信度 0.70 Digital Imaging for Blood DiseasesAI in cancer detectionDigital Holography and Microscopy
• Deciphering gastric inflammation-induced tumorigenesis through multi-omics data and AI methods
  openalex 2023 置信度 0.70 Ferroptosis and cancer prognosisCancer, Lipids, and MetabolismInflammatory mediators and NSAID effects
• Outcome Assessment of Patients With Metastatic Renal Cell Carcinoma Under Systemic Therapy Using Artificial Neural Networks
  openalex 2011 置信度 0.70 Renal cell carcinoma treatmentAI in cancer detectionFerroptosis and cancer prognosis
• Production of amorphadiene in yeast, and its conversion to dihydroartemisinic acid, precursor to the antimalarial agent artemisinin
  openalex 2012 置信度 0.70 Plant biochemistry and biosynthesisMicrobial Natural Products and BiosynthesisPhytochemical compounds biological activities
• 20(S)‐ginsenoside Rg3, a neuroprotective agent, inhibits mitochondrial permeability transition pores in rat brain
  openalex 2008 置信度 0.70 Ginseng Biological Effects and ApplicationsPharmacological Effects of Natural CompoundsNatural product bioactivities and synthesis
• P–011 Automated sperm morphology assessment using artificial intelligence technology
  openalex 2021 置信度 0.70 Sperm and Testicular FunctionReproductive Biology and Fertility
• High-Content Phenotypic Profiling in Esophageal Adenocarcinoma Identifies Selectively Active Pharmacological Classes of Drugs for Repurposing and Chemical Starting Points for Novel Drug Discovery
  openalex 2020 置信度 0.70 Cell Image Analysis TechniquesAI in cancer detectionSingle-cell and spatial transcriptomics
• Segmentation, tracking and cell cycle analysis of live-cell imaging data with Cell-ACDC
  openalex 2022 置信度 0.70 Cell Image Analysis TechniquesSingle-cell and spatial transcriptomicsAI in cancer detection
• GIPS-Mix for Accurate Identification of Isomeric Components in Glycan Mixtures Using Intelligent Group-Opting Strategy
  openalex 2022 置信度 0.70 Glycosylation and Glycoproteins ResearchCarbohydrate Chemistry and SynthesisGenomics and Phylogenetic Studies
• Evaluation of lockdown impact on SARS-CoV-2 dynamics through viral genome quantification in Paris wastewaters
  openalex 2020 置信度 0.70 SARS-CoV-2 detection and testingSARS-CoV-2 and COVID-19 ResearchCOVID-19 diagnosis using AI
• Influence of various transition metals incorporated into tellurium used as antimicrobial agent and textile dye degrader
  openalex 2020 置信度 0.70 Laser-Ablation Synthesis of NanoparticlesSelenium in Biological SystemsTiO2 Photocatalysis and Solar Cells
• Activation of a mobile robot through a brain computer interface
  This work presents the development of a brain computer interface as an alternative communication channel to be used in Robotics. It encompasses the implementation of an electroencephalograph (EEG), as well as the development of all computational methods and ne…
  openalex Alexandre Barbosa, David Achanccaray, Marco Antônio Meggiolaro 2010-05-01 置信度 0.78 Brain–computer interfaceComputer scienceMobile robotInterface (matter)Artificial intelligence
• Improving the Separability of Motor Imagery EEG Signals Using a Cross Correlation-Based Least Square Support Vector Machine for Brain–Computer Interface
  Although brain-computer interface (BCI) techniques have been developing quickly in recent decades, there still exist a number of unsolved problems, such as improvement of motor imagery (MI) signal classification. In this paper, we propose a hybrid algorithm to…
  openalex Siuly Siuly, Yan Li 2012-01-23 置信度 0.80 Support vector machinePattern recognition (psychology)Classifier (UML)Artificial intelligenceBrain–computer interface
• Self-Paced Operation of a Wheelchair Based on a Hybrid Brain-Computer Interface Combining Motor Imagery and P300 Potential
  This paper presents a hybrid brain-computer interface (BCI) that combines motor imagery (MI) and P300 potential for the asynchronous operation of a brain-controlled wheelchair whose design is based on a Mecanum wheel. This paradigm is completely user-centric. …
  openalex Yang Yu, Zongtan Zhou, Yadong Liu, Jun Jiang 等 2017-11-02 置信度 0.80 Brain–computer interfaceWheelchairMotor imageryInterface (matter)Computer science
• An SSVEP-Actuated Brain Computer Interface Using Phase-Tagged Flickering Sequences: A Cursor System
  openalex Po‐Lei Lee, Jyun-Jie Sie, Yu-Ju Liu, Chi-Hsun Wu 等 2010-02-22 置信度 0.67 FlickerBrain–computer interfaceElectroencephalographyComputer scienceComputer vision
• Brain Computer Interface Design Using Band Powers Extracted During Mental Tasks
  In this paper, a brain computer interface (BCI) is designed using electroencephalogram (EEG) signals where the subjects have to think of only a single mental task. The method uses spectral power and power difference in 4 bands: delta and theta, beta, alpha and…
  openalex Ramaswamy Palaniappan 2005-04-19 置信度 0.78 Brain–computer interfaceComputer scienceElectroencephalographyClassifier (UML)Speech recognition
• Adaptive transfer learning-based multiscale feature fused deep convolutional neural network for EEG MI multiclassification in brain–computer interface
  openalex Arunabha M. Roy 2022-08-30 置信度 0.71 Computer scienceBrain–computer interfaceTransfer of learningConvolutional neural networkArtificial intelligence
• Utilizing Gamma Band to Improve Mental Task Based Brain-Computer Interface Design
  A common method for designing brain-computer Interface (BCI) is to use electroencephalogram (EEG) signals extracted during mental tasks. In these BCI designs, features from EEG such as power and asymmetry ratios from delta, theta, alpha, and beta bands have be…
  openalex Ramaswamy Palaniappan 2006-09-01 置信度 0.78 Brain–computer interfaceElectroencephalographyComputer scienceArtificial intelligenceFeature extraction
• Brain-computer interfaces (BCIs) for communication and control
  No abstract available.
  openalex Jonathan R. Wolpaw 2007-10-15 置信度 0.67 Brain–computer interfaceComputer scienceHuman–computer interactionControl (management)Electroencephalography
• The Utility Metric: A Novel Method to Assess the Overall Performance of Discrete Brain–Computer Interfaces
  A relevant issue in a brain-computer interface (BCI) is the capability to efficiently convert user intentions into correct actions, and how to properly measure this efficiency. Usually, the evaluation of a BCI system is approached through the quantification of…
  openalex Bernardo Dal Seno, Matteo Matteucci, Luca Mainardi 2009-09-24 置信度 0.78 Brain–computer interfaceComputer scienceClassifier (UML)ComputationMetric (unit)
• Long-Term Independent Brain-Computer Interface Home Use Improves Quality of Life of a Patient in the Locked-In State: A Case Study
  openalex Elisa Mira Holz, Loïc Botrel, Tobias Kaufmann, Andrea Kübler 2015-02-23 置信度 0.69 Brain–computer interfaceSession (web analytics)UsabilityInterface (matter)Quality of life (healthcare)
• EEG and MEG brain-computer interface for tetraplegic patients
  We characterized features of magnetoencephalographic (MEG) and electroencephalographic (EEG) signals generated in the sensorimotor cortex of three tetraplegics attempting index finger movements. Single MEG and EEG trials were classified offline into two classe…
  openalex Laura Kauhanen, Tommi Nykopp, Janne Lehtonen, Pasi Jylänki 等 2006-06-01 置信度 0.78 MagnetoencephalographyElectroencephalographyBrain–computer interfaceClassifier (UML)Pattern recognition (psychology)
• Effects of training and motivation on auditory P300 brain–computer interface performance
  openalex Ebru Baykara, Carolin A. Ruf, Chiara Fioravanti, Ivo Käthner 等 2015-04-17 置信度 0.69 Brain–computer interfaceHeadsetGazePsychologySession (web analytics)
• Thinking Penguin: Multimodal Brain–Computer Interface Control of a VR Game
  In this paper, we describe a multimodal brain-computer interface (BCI) experiment, situated in a highly immersive CAVE. A subject sitting in the virtual environment controls the main character of a virtual reality game: a penguin that slides down a snowy mount…
  openalex Robert Leeb, Marcel Lancelle, Vera Kaiser, Dieter W. Fellner 等 2013-01-23 置信度 0.80 Brain–computer interfaceComputer scienceJoystickTask (project management)Virtual reality
• EEG-Based Brain-Computer Interface for Tetraplegics
  Movement-disabled persons typically require a long practice time to learn how to use a brain-computer interface (BCI). Our aim was to develop a BCI which tetraplegic subjects could control only in 30 minutes. Six such subjects (level of injury C4-C5) operated …
  openalex Laura Kauhanen, Pasi Jylänki, Janne Lehtonen, Pekka Rantanen 等 2007-01-01 置信度 0.78 Brain–computer interfaceElectroencephalographySensorimotor rhythmMotor imageryPhysical medicine and rehabilitation
• Inducing a virtual hand ownership illusion through a brain–computer interface
  The apparently stable brain representation of our bodies is easily challenged. We have recently shown that the illusion of ownership of a three-dimensional virtual hand can be evoked through synchronous tactile stimulation of a person's hidden real hand and th…
  openalex Daniel Pérez-Marcos, Mel Slater, María V. Sánchez-Vives 2009-04-22 置信度 0.78 IllusionMotor imageryVirtual realityBrain–computer interfaceComputer science
• Application of Continuous Wavelet Transform and Convolutional Neural Network in Decoding Motor Imagery Brain-Computer Interface
  The motor imagery-based brain-computer interface (BCI) using electroencephalography (EEG) has been receiving attention from neural engineering researchers and is being applied to various rehabilitation applications. However, the performance degradation caused …
  openalex Hyeon Kyu Lee, Young-Seok Choi 2019-12-05 置信度 0.82 Brain–computer interfaceMotor imageryComputer scienceConvolutional neural networkElectroencephalography
• A closed-loop, music-based brain-computer interface for emotion mediation
  Emotions play a critical role in rational and intelligent behavior; a better fundamental knowledge of them is indispensable for understanding higher order brain function.We propose a non-invasive brain-computer interface (BCI) system to feedback a person's aff…
  openalex Stefan K. Ehrlich, Kat Agres, Cuntai Guan, Gordon Cheng 2019-03-18 置信度 0.82 Brain–computer interfaceMediationInterface (matter)Affective computingComputer science
• IoT in Brain-Computer Interfaces for Enabling Communication and Control for the Disabled
  The proposed system integrates Internet of Things (IoT) technologies with Brain-computer interfaces to improve disability-related communication and control. BCIs may directly communicate between the brain and external equipment, providing a lifeline for person…
  openalex S. Rajarajan, T. Kowsalya, Nukala Sujata Gupta, P M Suresh 等 2024-04-12 置信度 0.84 Computer scienceBrain–computer interfaceHuman–computer interactionControl (management)Neuroscience
• Brain–computer interface using water-based electrodes
  Current brain-computer interfaces (BCIs) that make use of EEG acquisition techniques require unpleasant electrode gel causing skin abrasion during the standard preparation procedure. Electrodes that require tap water instead of electrolytic electrode gel would…
  openalex Ivan Volosyak, Diana Valbuena, Tatsiana Malechka, Jan Peuscher 等 2010-11-03 置信度 0.78 Brain–computer interfaceElectroencephalographyElectrodeComputer scienceInterface (matter)
• Neuropsychological and neurophysiological aspects of brain‐computer‐interface (BCI) control in paralysis
  Brain-computer interfaces (BCIs) aim to help paralysed patients to interact with their environment by controlling external devices using brain activity, thereby bypassing the dysfunctional motor system. Some neuronal disorders, such as amyotrophic lateral scle…
  openalex Ujwal Chaudhary, Natalie Mrachacz‐Kersting, Niels Birbaumer 2020-02-11 置信度 0.82 Brain–computer interfaceNeurophysiologyNeuropsychologyParalysisNeuroscience
• Behavioral and neural correlates of visuomotor adaptation observed through a brain-computer interface in primary motor cortex
  Brain-computer interfaces (BCIs) provide a defined link between neural activity and devices, allowing a detailed study of the neural adaptive responses generating behavioral output. We trained monkeys to perform two-dimensional center-out movements of a comput…
  openalex Steven M. Chase, Robert E. Kass, Andrew B. Schwartz 2012-04-12 置信度 0.80 Brain–computer interfacePopulationComputer scienceNeuroscienceAdaptation (eye)
• The advantages of the surface Laplacian in brain–computer interface research
  openalex Dennis J. McFarland 2014-08-01 置信度 0.69 Brain–computer interfaceOrthogonalityComputer scienceLaplace operatorSIGNAL (programming language)
• User-centered design in brain–computer interfaces—A case study
  OBJECTIVE: The array of available brain-computer interface (BCI) paradigms has continued to grow, and so has the corresponding set of machine learning methods which are at the core of BCI systems. The latter have evolved to provide more robust data analysis so…
  openalex Martijn Schreuder, Angela Riccio, Monica Risetti, Sven Dähne 等 2013-09-13 置信度 0.80 Brain–computer interfaceComputer scienceHuman–computer interactionSet (abstract data type)Process (computing)
• Z-Score Linear Discriminant Analysis for EEG Based Brain-Computer Interfaces
  Linear discriminant analysis (LDA) is one of the most popular classification algorithms for brain-computer interfaces (BCI). LDA assumes Gaussian distribution of the data, with equal covariance matrices for the concerned classes, however, the assumption is not…
  openalex Rui Zhang, Peng Xu, Lanjin Guo, Yangsong Zhang 等 2013-09-13 置信度 0.80 Linear discriminant analysisHeteroscedasticityArtificial intelligencePattern recognition (psychology)Decision boundary
• CWT Based Transfer Learning for Motor Imagery Classification for Brain computer Interfaces
  openalex Piyush Kant, Shahedul Haque Laskar, Jupitara Hazarika, Rupesh Mahamune 2020-07-27 置信度 0.71 Brain–computer interfaceComputer scienceArtificial intelligenceTransfer of learningMotor imagery
• Exploiting dimensionality reduction and neural network techniques for the development of expert brain–computer interfaces
  openalex Muhammad Tariq Sadiq, Xiaojun Yu, Zhaohui Yuan 2020-09-17 置信度 0.71 Computer scienceDimensionality reductionPattern recognition (psychology)Principal component analysisBrain–computer interface
• FGANet: fNIRS-Guided Attention Network for Hybrid EEG-fNIRS Brain-Computer Interfaces
  Non-invasive brain-computer interfaces (BCIs) have been widely used for neural decoding, linking neural signals to control devices. Hybrid BCI systems using electroencephalography (EEG) and functional near-infrared spectroscopy (fNIRS) have received significan…
  openalex Youngchul Kwak, Woo‐Jin Song, Seong‐Eun Kim 2022-01-01 置信度 0.82 ElectroencephalographyBrain–computer interfaceComputer scienceFunctional near-infrared spectroscopyArtificial intelligence
• Wearable Brain–Computer Interface Instrumentation for Robot-Based Rehabilitation by Augmented Reality
  An instrument for remote control of the robot by wearable brain-computer interface (BCI) is proposed for rehabilitating children with attention-deficit/hyperactivity disorder (ADHD). Augmented reality (AR) glasses generate flickering stimuli, and a single-chan…
  openalex Pasquale Arpaïa, Luigi Duraccio, Nicola Moccaldi, Silvia Rossi 2020-01-31 置信度 0.82 Brain–computer interfaceWearable computerRobotRehabilitationComputer science
• Free-paced high-performance brain–computer interfaces
  Neural prostheses aim to improve the quality of life of severely disabled patients by translating neural activity into control signals for guiding prosthetic devices or computer cursors. We recently demonstrated that plan activity from premotor cortex, which s…
  openalex Neil Achtman, Afsheen Afshar, Gopal Santhanam, Byron M. Yu 等 2007-08-22 置信度 0.78 Computer scienceBrain–computer interfacePlan (archaeology)Brain activity and meditationInterface (matter)
• A randomized controlled trial of a brain-computer interface based attention training program for ADHD
  OBJECTIVE: The use of brain-computer interface in neurofeedback therapy for attention deficit hyperactivity disorder (ADHD) is a relatively new approach. We conducted a randomized controlled trial (RCT) to determine whether an 8-week brain computer interface (…
  openalex Choon Guan Lim, Xue Wei Wendy Poh, Shuen Sheng Daniel Fung, Cuntai Guan 等 2019-05-21 置信度 0.82 Randomized controlled trialMedicineAttention deficit hyperactivity disorderNeurofeedbackPhysical therapy
• RETRACTED: A 1D CNN for high accuracy classification and transfer learning in motor imagery EEG-based brain-computer interface
  Abstract Objective. Brain-computer interface (BCI) aims to establish communication paths between the brain processes and external devices. Different methods have been used to extract human intentions from electroencephalography (EEG) recordings. Those based on…
  openalex F. Mattioli, Camillo Porcaro, Gianluca Baldassarre 2021-12-01 置信度 0.82 Brain–computer interfaceComputer scienceElectroencephalographyMotor imageryTransfer of learning
• Comparison of tactile, auditory, and visual modality for brain-computer interface use: a case study with a patient in the locked-in state
  This paper describes a case study with a patient in the classic locked-in state, who currently has no means of independent communication. Following a user-centered approach, we investigated event-related potentials (ERP) elicited in different modalities for us…
  openalex Tobias Kaufmann, Elisa Mira Holz, Andrea Kübler 2013-01-01 置信度 0.80 Brain–computer interfaceModality (human–computer interaction)ModalitiesComputer scienceStimulus modality
• Real-time brain-computer interfacing: A preliminary study using Bayesian learning
  openalex Stephen Roberts, W.D. Penny 2000-01-01 置信度 0.67 InterfacingComputer scienceBrain–computer interfaceSmoothingBayesian probability
• Challenges in clinical applications of brain computer interfaces in individuals with spinal cord injury
  Brain computer interfaces (BCIs) are devices that measure brain activities and translate them into control signals used for a variety of applications. Among them are systems for communication, environmental control, neuroprostheses, exoskeletons, or restorativ…
  openalex RÃ ⁄ diger Rupp 2014-09-24 置信度 0.80 Brain–computer interfaceExoskeletonSpinal cord injuryPhysical medicine and rehabilitationMedicine
• EEG-based Brain-Computer Interface to support post-stroke motor rehabilitation of the upper limb
  Brain-Computer Interfaces (BCIs) process brain activity in real time, and mediate non-muscular interaction between and individual and the environment. The subserving algorithms can be used to provide a quantitative measurement of physiological or pathological …
  openalex Febo Cincotti, Floriana Pichiorri, Pietro Aricò, Fabio Aloise 等 2012-08-01 置信度 0.80 RehabilitationMotor imageryBrain–computer interfaceNeurofeedbackPhysical medicine and rehabilitation
• Assessing motor imagery in brain-computer interface training: Psychological and neurophysiological correlates
  openalex Anatoly N. Vasilyev, С.П. Либуркина, Lev Yakovlev, Olga Perepelkina 等 2017-02-04 置信度 0.69 Motor imageryBrain–computer interfacePsychologyElectroencephalographyTranscranial magnetic stimulation
• Exploring miniaturized EEG electrodes for brain-computer interfaces. An EEG you do not see?
  Electroencephalography (EEG) allows the study of the brain-behavior relationship in humans. Most of what we have learned with EEG was through observing the brain-behavior relationship under well-controlled laboratory conditions. However, by reducing "normal" b…
  openalex Martin G. Bleichner, Micha Lundbeck, Matthias Selisky, Falk Minow 等 2015-04-01 置信度 0.80 ElectroencephalographyEEG-fMRIBrain–computer interfaceComputer scienceRobustness (evolution)
• Determining Optimal Feature-Combination for LDA Classification of Functional Near-Infrared Spectroscopy Signals in Brain-Computer Interface Application
  In this study, we determine the optimal feature-combination for classification of functional near-infrared spectroscopy (fNIRS) signals with the best accuracies for development of a two-class brain-computer interface (BCI). Using a multi-channel continuous-wav…
  openalex Noman Naseer, Farzan Majeed Noori, Nauman Khalid Qureshi, Keum‐Shik Hong 2016-05-24 置信度 0.80 Feature (linguistics)Interface (matter)Pattern recognition (psychology)Artificial intelligenceComputer science
• An Accurate EEGNet-based Motor-Imagery Brain–Computer Interface for Low-Power Edge Computing
  This paper presents an accurate and robust embedded motor-imagery brain–computer interface (MI-BCI). The proposed novel model, based on EEGNet [1], matches the requirements of memory footprint and computational resources of low-power microcontroller units (MCU…
  openalex Xiaying Wang, Michael Hersche, Batuhan Tömekçe, Burak Kaya 等 2020-06-01 置信度 0.82 Brain–computer interfaceComputer scienceUpsamplingMemory footprintConvolutional neural network
• Immediate brain plasticity after one hour of brain–computer interface (BCI)
  KEY POINTS: Two groups of inexperienced brain-computer interface users underwent a purely mental EEG-BCI session that rapidly impacted on their brain. Modulations in structural and functional MRI were found after only 1 h of BCI training. Two different types o…
  openalex Till Nierhaus, Carmen Vidaurre, Claudia Sannelli, Klaus-Robert Müller 等 2019-11-06 置信度 0.82 Brain–computer interfaceInterface (matter)NeuroplasticityComputer scienceNeuroscience
• Critical Decision-Speed and Information Transfer in the “Graz Brain–Computer Interface”
  openalex Gunther Krausz, Reinhold Scherer, G. Korisek, G. Pfurtscheller 2003-09-01 置信度 0.67 Brain–computer interfaceElectroencephalographyMotor imageryComputer sciencePsychology
• EEG Based Brain Computer Interface for Controlling a Robot Arm Movement Through Thought
  openalex Rihab Bousseta, Issam El Ouakouak, Mourad Gharbi, Fakhita Regragui 2018-02-14 置信度 0.69 Brain–computer interfaceRobotic armElectroencephalographyComputer scienceArtificial intelligence
• Dual-frequency steady-state visual evoked potential for brain computer interface
  openalex Kuo‐Kai Shyu, Po‐Lei Lee, Yu-Ju Liu, Jyun-Jie Sie 2010-07-23 置信度 0.67 Brain–computer interfaceEvoked potentialInterface (matter)Dual (grammatical number)Stimulation
• Brain-computer interfacing using modulations of alpha activity induced by covert shifts of attention
  BACKGROUND: Visual brain-computer interfaces (BCIs) often yield high performance only when targets are fixated with the eyes. Furthermore, many paradigms use intense visual stimulation, which can be irritating especially in long BCI sessions. However, BCIs can…
  openalex Matthias S. Treder, Ali Bahramisharif, Nico M. Schmidt, Marcel van Gerven 等 2011-01-01 置信度 0.80 Brain–computer interfaceElectroencephalographyCovertGazePsychology
• Shared control of a robotic arm using non-invasive brain–computer interface and computer vision guidance
  openalex Xu Yang, Cheng Ding, Xiaokang Shu, Kai Gui 等 2019-02-25 置信度 0.71 Brain–computer interfaceGRASPComputer scienceRobotic armInterface (matter)
• An online brain–computer interface using non-flashing visual evoked potentials
  Not until recently have motion-onset visual evoked potentials (mVEPs) been explored as a modality for brain-computer interface (BCI) applications. In this study, the first online BCI system based on mVEPs is presented, in which selection is discerned by subjec…
  openalex Tao Liu, Leslie Ann Goldberg, Shangkai Gao, Bo Hong 2010-04-19 置信度 0.78 Brain–computer interfaceComputer scienceCursor (databases)Interface (matter)Modality (human–computer interaction)
• Amplitude and phase coupling measures for feature extraction in an EEG-based brain–computer interface
  Most of the feature extraction methods in existing brain-computer interfaces (BCIs) are based on the dynamic behavior of separate signals, without using the coupling information between different brain regions. In this paper, amplitude and phase coupling measu…
  openalex Qingguo Wei, Yijun Wang, Xiaorong Gao, Shangkai Gao 2007-03-28 置信度 0.78 Brain–computer interfaceFeature extractionPattern recognition (psychology)ElectroencephalographyFeature (linguistics)
• Combination of Augmented Reality Based Brain- Computer Interface and Computer Vision for High-Level Control of a Robotic Arm
  Recent advances in robotics, neuroscience, and signal processing make it possible to operate a robot through electroencephalography (EEG)-based brain-computer interface (BCI). Although some successful attempts have been made in recent years, the practicality o…
  openalex Xiaogang Chen, Xiaoshan Huang, Yijun Wang, Xiaorong Gao 2020-11-16 置信度 0.82 Brain–computer interfaceRobotic armComputer scienceInterface (matter)Workspace
• Advancements in Small-Object Detection (2023–2025): Approaches, Datasets, Benchmarks, Applications, and Practical Guidance
  Small-object detection (SOD) remains an important and growing challenge in computer vision and is the backbone of many applications, including autonomous vehicles, aerial surveillance, medical imaging, and industrial quality control. Small objects, in pixels, …
  openalex Ali Aldubaikhi, Sarosh Patel 2025-11-07 置信度 0.84 Computer scienceRobustness (evolution)Software deploymentData scienceArtificial intelligence