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• Mind the gap: State-of-the-art technologies and applications for EEG-based brain–computer interfaces
  Brain-computer interfaces (BCIs) provide bidirectional communication between the brain and output devices that translate user intent into function. Among the different brain imaging techniques used to operate BCIs, electroencephalography (EEG) constitutes the …
  openalex Roberto Portillo‐Lara, Islam Bogachan Tahirbegi, Christopher A. R. Chapman, Josef Goding 等 2021-07-20 置信度 0.82 ElectroencephalographyBrain–computer interfaceComputer scienceWearable computerEntertainment
• ChatGPT Utility in Healthcare Education, Research, and Practice: Systematic Review on the Promising Perspectives and Valid Concerns
  ChatGPT is an artificial intelligence (AI)-based conversational large language model (LLM). The potential applications of LLMs in health care education, research, and practice could be promising if the associated valid concerns are proactively examined and add…
  openalex Malik Sallam 2023-03-19 置信度 0.82 Health careDocumentationMEDLINEContext (archaeology)Medical education
• Brain–machine interfaces for controlling lower-limb powered robotic systems
  OBJECTIVE: Lower-limb, powered robotics systems such as exoskeletons and orthoses have emerged as novel robotic interventions to assist or rehabilitate people with walking disabilities. These devices are generally controlled by certain physical maneuvers, for …
  openalex Yongtian He, David Eguren, José M. Azorín, Robert G. Grossman 等 2018-01-18 置信度 0.80 ExoskeletonComputer scienceRoboticsArtificial intelligenceUsability
• A Review on Biosensors and Recent Development of Nanostructured Materials-Enabled Biosensors
  A biosensor is an integrated receptor-transducer device, which can convert a biological response into an electrical signal. The design and development of biosensors have taken a center stage for researchers or scientists in the recent decade owing to the wide …
  openalex V. Naresh, Nohyun Lee 2021-02-05 置信度 0.78 BiosensorNanotechnologyNanomaterialsMaterials scienceNanowire
• Brain (re)organisation following amputation: Implications for phantom limb pain
  Following arm amputation the region that represented the missing hand in primary somatosensory cortex (S1) becomes deprived of its primary input, resulting in changed boundaries of the S1 body map. This remapping process has been termed 'reorganisation' and ha…
  openalex Tamar R. Makin, Herta Flor 2020-05-16 置信度 0.82 Phantom limbSomatosensory systemAmputationNeuroimagingPsychology
• Making brain–machine interfaces robust to future neural variability
  A major hurdle to clinical translation of brain-machine interfaces (BMIs) is that current decoders, which are trained from a small quantity of recent data, become ineffective when neural recording conditions subsequently change. We tested whether a decoder cou…
  openalex David Sussillo, Sergey D. Stavisky, Jonathan C. Kao, Stephen I. Ryu 等 2016-12-13 置信度 0.80 Computer scienceArtificial neural networkNeuroscienceArtificial intelligenceMachine learning
• Decoding fMRI brain states in real-time
  openalex Stephen M. LaConte 2010-07-01 置信度 0.67 NeurofeedbackBrain–computer interfaceComputer scienceFunctional magnetic resonance imagingFlexibility (engineering)
• Diffusion MRI fiber tractography of the brain
  The ability of fiber tractography to delineate non-invasively the white matter fiber pathways of the brain raises possibilities for clinical applications and offers enormous potential for neuroscience. In the last decade, fiber tracking has become the method o…
  openalex Ben Jeurissen, Maxime Descoteaux, Susumu Mori, Alexander Leemans 2017-09-25 置信度 0.76 TractographyConnectomicsDiffusion MRIWhite matterNeuroscience
• Cortical Ensemble Adaptation to Represent Velocity of an Artificial Actuator Controlled by a Brain-Machine Interface
  Monkeys can learn to directly control the movements of an artificial actuator by using a brain-machine interface (BMI) driven by the activity of a sample of cortical neurons. Eventually, they can do so without moving their limbs. Neuronal adaptations underlyin…
  openalex Mikhail Lebedev, Jose M. Carmena, Joseph E. O’Doherty, Miriam Zacksenhouse 等 2005-05-11 置信度 0.78 ActuatorBrain–computer interfaceComputer scienceNeuroscienceAdaptation (eye)
• Determination of Effective Signal Processing Stages for Brain Computer Interface on BCI Competition IV Data Set 2b: A Review Study
  Considering the entire BCI system, a big challenge is that information can be extracted from brain signals in a meaningful way. Therefore, most BCI studies are focused on brain signal processing, in which the stages are preprocessing, feature extraction, featu…
  openalex Eda Dağdevır, Mahmut Tokmakçı 2021-04-22 置信度 0.82 Brain–computer interfaceComputer scienceSet (abstract data type)PreprocessorSignal processing
• Implantable brain computer interface: Challenges to neurotechnology translation
  openalex Peter E. Konrad, Todd Shanks 2009-12-25 置信度 0.67 Brain–computer interfaceInterface (matter)Neural ProsthesisBrain implantComputer science
• Brain–Computer Interface Training Based on Brain Activity Can Induce Motor Recovery in Patients With Stroke: A Meta-Analysis
  Background Brain–computer interface (BCI) is a procedure involving brain activity in which neural status is provided to the participants for self-regulation. The current review aims to evaluate the effect sizes of clinical studies investigating the use of BCI-…
  openalex Ippei Nojima, Hisato Sugata, Hiroki Takeuchi, Tatsuya Mima 2021-12-27 置信度 0.82 Brain–computer interfacePhysical medicine and rehabilitationNeurofeedbackRehabilitationSensorimotor rhythm
• Electrical and Magnetic Neuromodulation Technologies and Brain-Computer Interfaces: Ethical Considerations for Enhancement of Brain Function in Healthy People – A Systematic Scoping Review
  INTRODUCTION: This scoping review aimed to synthesize the fragmented evidence on ethical concerns related to the use of electrical and magnetic neuromodulation technologies, as well as brain-computer interfaces for enhancing brain function in healthy individua…
  openalex Markus Ploesser, Mickey Abraham, Marike L. D. Broekman, Miriam Tanja Zincke 等 2024-07-10 置信度 0.84 NeuromodulationBrain functionNeuroethicsFunction (biology)Neuroscience
• Lead-DBS v2: Towards a comprehensive pipeline for deep brain stimulation imaging
  openalex Andreas Horn, Ningfei Li, Till A. Dembek, Ari D. Kappel 等 2018-09-01 置信度 0.69 Deep brain stimulationPipeline (software)Lead (geology)NeuroscienceNeuroimaging
• Highly accurate protein structure prediction with AlphaFold
  Abstract Proteins are essential to life, and understanding their structure can facilitate a mechanistic understanding of their function. Through an enormous experimental effort 1–4 , the structures of around 100,000 unique proteins have been determined 5 , but…
  openalex John Jumper, Richard Evans, Alexander Pritzel, Tim Green 等 2021-07-15 置信度 0.78 Protein structure predictionComputer scienceCASPProtein structureThreading (protein sequence)
• Comprehensive Review of Noninvasive Brain-Computer Interfaces for Controlling Robotic Arms
  A robotic arm is a mechanical device with a given number of Degrees of Freedom (DoFs) that mimics the functions of a human arm and performs any desired task, such as grasping and moving objects. Current research is directed toward the design of robots and arti…
  openalex Soukaina Hamou, Mustapha Moufassih, Ousama Tarahi, Said Agounad 等 2024-02-18 置信度 0.84 Brain–computer interfaceComputer scienceHuman–computer interactionPhysical medicine and rehabilitationBiomedical engineering
• Use of Invasive Brain-Computer Interfaces in Pediatric Neurosurgery: Technical and Ethical Considerations
  Invasive brain-computer interfaces hold promise to alleviate disabilities in individuals with neurologic injury, with fully implantable brain-computer interface systems expected to reach the clinic in the upcoming decade. Children with severe neurologic disabi…
  openalex David Bergeron, Christian Iorio‐Morin, Marco Bonizzato, Guillaume Lajoie 等 2023-03-01 置信度 0.82 NeurosurgeryBrain–computer interfacePediatric neurosurgeryCerebral palsyInterface (matter)
• Large Animal Studies to Reduce the Foreign Body Reaction in Brain–Computer Interfaces: A Systematic Review
  Brain-computer interfaces (BCI) are reliant on the interface between electrodes and neurons to function. The foreign body reaction (FBR) that occurs in response to electrodes in the brain alters this interface and may pollute detected signals, ultimately imped…
  openalex Shan Y. Mian, Jonathan Roy Honey, Alejandro Carnicer‐Lombarte, Damiano G. Barone 2021-08-16 置信度 0.82 Computer scienceForeign bodyMedicineSurgery
• Review on spintronics: Principles and device applications
  Spintronics is one of the emerging fields for the next-generation nanoelectronic devices to reduce their power consumption and to increase their memory and processing capabilities. Such devices utilise the spin degree of freedom of electrons and/or holes, whic…
  openalex Atsufumi Hirohata, K. Yamada, Y. Nakatani, Lucian Prejbeanu 等 2020-03-09 置信度 0.73 SpintronicsSpin (aerodynamics)Spin engineeringSpinplasmonicsSpin pumping
• The rise of motivational information systems: A review of gamification research
  Today, our reality and lives are increasingly game-like, not only because games have become a pervasive part of our lives, but also because activities, systems and services are increasingly gamified. Gamification refers to designing information systems to affo…
  openalex Jonna Koivisto, Juho Hamari 2018-12-10 置信度 0.72 PopularityField (mathematics)Consistency (knowledge bases)Coherence (philosophical gambling strategy)Information system
• Brain-Machine Interfaces: Powerful Tools for Clinical Treatment and Neuroscientific Investigations
  Brain-machine interfaces (BMIs) have exploded in popularity in the past decade. BMIs, also called brain-computer interfaces, provide a direct link between the brain and a computer, usually to control an external device. BMIs have a wide array of potential clin…
  openalex Marc W. Slutzky 2018-05-17 置信度 0.80 Brain–computer interfaceNeuroscienceAmyotrophic lateral sclerosisSpinal cord injuryPsychology
• Visual Motion Processing and Sensory-Motor Integration for Smooth Pursuit Eye Movements
  The function of smooth pursuit is to keep the fovea pointed at a small visual target that moves smoothly across a patterned background. Chemical lesions, single cell recordings, and behavioral measures have shown that the cortical motion processing pathways fo…
  openalex S. G. Lisberger, Edwin J. Morris, Lawrence Tychsen 1987-03-01 置信度 0.78 Smooth pursuitNeuroscienceSensory systemEfferentEye movement
• The Brain-Derived Neurotrophic Factor val66met Polymorphism and Variation in Human Cortical Morphology
  A variation in the BDNF gene (val66met) affects the function of BDNF in neurons, predicts variation in human memory, and is associated with several neurological and psychiatric disorders. Here, we show that, in magnetic resonance imaging scans of a large sampl…
  openalex Lukas Pezawas, Beth A. Verchinski, Venkata S. Mattay, Joseph H. Callicott 等 2004-11-10 置信度 0.74 Brain morphometryNeuroscienceNeurotrophic factorsHippocampusHuman brain
• Incorporating personality in user interface design: A review
  openalex Tomás Alves, Joana Natálio, Joana Henriques‐Calado, Sandra Gama 2019-11-25 置信度 0.68 PersonalityUser interface designHuman–computer interactionUser interfacePreference
• Steady-State Somatosensory Evoked Potential for Brain-Computer Interface—Present and Future
  Brain-computer interface (BCI) performance has achieved continued improvement over recent decades, and sensorimotor rhythm-based BCIs that use motor function have been popular subjects of investigation. However, it remains problematic to introduce them to the …
  openalex Sangtae Ahn, Kiwoong Kim, Sung Chan Jun 2016-01-14 置信度 0.80 Brain–computer interfaceInterface (matter)Computer scienceReliability (semiconductor)Motor imagery
• Language Model Applications to Spelling with Brain-Computer Interfaces
  Within the Ambient Assisted Living (AAL) community, Brain-Computer Interfaces (BCIs) have raised great hopes as they provide alternative communication means for persons with disabilities bypassing the need for speech and other motor activities. Although signif…
  openalex Anderson Mora-Cortes, Nikolay V. Manyakov, Nikolay Chumerin, Marc M. Van Hulle 2014-03-26 置信度 0.80 Brain–computer interfaceSpellingComputer scienceContext (archaeology)Language model
• Brain-machine interfaces: an overview
  Abstract Brain-machine interfaces (BMIs) hold promise to treat neurological disabilities by linking intact brain circuitry to assistive devices, such as limb prostheses, wheelchairs, artificial sensors, and computers. BMIs have experienced very rapid developme…
  openalex Mikhail Lebedev 2014-01-01 置信度 0.80 Brain–computer interfaceNeuroscienceComputer scienceSensory systemNeuroprosthetics
• Brain–Computer Interfaces for Upper Limb Motor Recovery after Stroke: Current Status and Development Prospects (Review)
  Brain-computer interfaces (BCIs) are a group of technologies that allow mental training with feedback for post-stroke motor recovery. Varieties of these technologies have been studied in numerous clinical trials for more than 10 years, and their construct and …
  openalex О. А. Мокиенко, R. Kh. Lyukmanov, Pavel Bobrov, Н. А. Супонева 等 2023-12-27 置信度 0.82 Physical medicine and rehabilitationBrain–computer interfaceStroke (engine)Current (fluid)Neuroscience
• MEG and EEG data analysis with MNE-Python
  Magnetoencephalography and electroencephalography (M/EEG) measure the weak electromagnetic signals generated by neuronal activity in the brain. Using these signals to characterize and locate neural activation in the brain is a challenge that requires expertise…
  openalex Alexandre Gramfort 2013-01-01 置信度 0.80 Python (programming language)Computer scienceScripting languagePreprocessorArtificial intelligence
• Learning to Decode Cognitive States from Brain Images
  openalex Tom M. Mitchell, Rebecca Hutchinson, Radu Stefan Niculescu, Francisco Pereira 等 2004-07-20 置信度 0.64 Artificial intelligenceComputer scienceClassifier (UML)SentenceCognition
• Behaviour state analysis through brain computer interface using wearable EEG devices: a review
  In recent years, a vast research is concentrated towards the development of electroencephalography (EEG) based human computer interface in order to enhance the quality of life for medically as well as non-medical applications. Industry and community of researc…
  openalex Sravanth Kumar Ramakuri, Sanchita Ghosh, Bharat Gupta 2017-01-01 置信度 0.80 Brain–computer interfaceElectroencephalographyComputer scienceWearable computerHuman–computer interaction
• Aquaporin-4-dependent glymphatic solute transport in the rodent brain
  The glymphatic system is a brain-wide clearance pathway; its impairment contributes to the accumulation of amyloid-β. Influx of cerebrospinal fluid (CSF) depends upon the expression and perivascular localization of the astroglial water channel aquaporin-4 (AQP…
  openalex Humberto Mestre, Lauren M. Hablitz, Anna LR Xavier, Weixi Feng 等 2018-12-18 置信度 0.80 Glymphatic systemAquaporin 4Cerebrospinal fluidInterstitial fluidAquaporin
• Are treatment effects of neurofeedback training in children with ADHD related to the successful regulation of brain activity? A review on the learning of regulation of brain activity and a contribution to the discussion on specificity
  While issues of efficacy and specificity are crucial for the future of neurofeedback training, there may be alternative designs and control analyses to circumvent the methodological and ethical problems associated with double-blind placebo studies. Surprisingl…
  openalex Agnieszka Zuberer, Daniel Brandeis, Renate Drechsler 2015-03-27 置信度 0.80 NeurofeedbackBrain activity and meditationPsychologyNeurosciencePhysical activity
• Past, Present, and Future of EEG-Based BCI Applications
  An electroencephalography (EEG)-based brain-computer interface (BCI) is a system that provides a pathway between the brain and external devices by interpreting EEG. EEG-based BCI applications have initially been developed for medical purposes, with the aim of …
  openalex Kaido Värbu, Naveed Muhammad, Yar Muhammad 2022-04-26 置信度 0.82 Brain–computer interfaceElectroencephalographyComputer scienceSpeech recognitionEngineering
• PyNN: a common interface for neuronal network simulators
  Computational neuroscience has produced a diversity of software for simulations of networks of spiking neurons, with both negative and positive consequences. On the one hand, each simulator uses its own programming or configuration language, leading to conside…
  openalex Andrew P. Davison 2008-01-01 置信度 0.78 Computer sciencePortingPython (programming language)Computer architecture simulatorNetwork simulation
• Interfacing with the Brain: How Nanotechnology Can Contribute
  Interfacing artificial devices with the human brain is the central goal of neurotechnology. Yet, our imaginations are often limited by currently available paradigms and technologies. Suggestions for brain-machine interfaces have changed over time, along with t…
  openalex Abdullah Ahmed Ali Ahmed, Núria Alegret, Bethany Almeida, Ramón A. Álvarez‐Puebla 等 2025-03-10 置信度 0.84 InterfacingNanotechnologyApplications of nanotechnologyMaterials scienceNeuroscience
• Implantable hydrogels as pioneering materials for next-generation brain–computer interfaces
  Use of brain-computer interfaces (BCIs) is rapidly becoming a transformative approach for diagnosing and treating various brain disorders. By facilitating direct communication between the brain and external devices, BCIs have the potential to revolutionize neu…
  openalex Wasid Ullah Khan, Zhenzhen Shen, Samuel M. Mugo, Hongda Wang 等 2025-01-01 置信度 0.84 Self-healing hydrogelsNeuromodulationBrain–computer interfaceNanotechnologyNeuroscience
• Effectiveness and safety of brain-computer interface technology in the treatment of poststroke motor disorders: a protocol for systematic review and meta-analysis
  INTRODUCTION: About 85% of stroke survivors have upper extremity dysfunction, and more than 60% have continuing hand dysfunction and cannot live independently after treatment. Numerous recent publications have explored brain-computer interfaces technology as r…
  openalex Xiaolin Zhang, Di Cao, Junnan Liu, Qi Zhang 等 2021-01-01 置信度 0.82 MedicineRehabilitationProtocol (science)MEDLINEPhysical medicine and rehabilitation
• The connectome of an insect brain
  Brains contain networks of interconnected neurons and so knowing the network architecture is essential for understanding brain function. We therefore mapped the synaptic-resolution connectome of an entire insect brain ( Drosophila larva) with rich behavior, in…
  openalex Michael Winding, Benjamin D. Pedigo, Christopher L. Barnes, Heather G. Patsolic 等 2023-03-10 置信度 0.82 ConnectomeNeuroscienceComputer scienceFeed forwardNeuron
• A systematic review: the influence of social media on depression, anxiety and psychological distress in adolescents
  While becoming inextricable to our daily lives, online social media are blamed for increasing mental health problems in younger people. This systematic review synthesized evidence on the influence of social media use on depression, anxiety and psychological di…
  openalex Betul Keles, Niall McCrae, Annmarie Grealish 2019-03-21 置信度 0.73 PsycINFOCINAHLAnxietyMental healthPsychology
• Flexible Electronics and Devices as Human–Machine Interfaces for Medical Robotics
  Medical robots are invaluable players in non-pharmaceutical treatment of disabilities. Particularly, using prosthetic and rehabilitation devices with human-machine interfaces can greatly improve the quality of life for impaired patients. In recent years, flexi…
  openalex Wenzheng Heng, Samuel A. Solomon, Wei Gao 2021-12-12 置信度 0.82 RoboticsArtificial intelligenceSoft roboticsInterface (matter)Human–computer interaction
• Review on motor imagery based BCI systems for upper limb post-stroke neurorehabilitation: From designing to application
  Strokes are a growing cause of mortality and many stroke survivors suffer from motor impairment as well as other types of disabilities in their daily life activities. To treat these sequelae, motor imagery (MI) based brain-computer interface (BCI) systems have…
  openalex Muhammad Ahmed Khan, Rig Das, Helle K. Iversen, Sadasivan Puthusserypady 2020-06-07 置信度 0.82 NeurorehabilitationMotor imageryBrain–computer interfacePhysical medicine and rehabilitationStroke (engine)
• BRAIN COMPUTER INTERFACE (BCI) ON ATTENTION: A SCOPING REVIEW
  Technological innovations are now an integral part of healthcare. Brain-computer interface (BCI) is a novel technological intervention system that is useful in restoring function to people disabled by neurological disorders such as attention deficit hyperactiv…
  openalex Anita Prem, Karthik Ganesh Mohanraj, Amen Samuel 2021-03-25 置信度 0.82 Brain–computer interfaceNeurofeedbackNeurocognitivePhysical medicine and rehabilitationStroke (engine)
• Data-Driven Transducer Design and Identification for Internally-Paced Motor Brain Computer Interfaces: A Review
  Brain-Computer Interfaces (BCIs) are systems that establish a direct communication pathway between the users' brain activity and external effectors. They offer the potential to improve the quality of life of motor-impaired patients. Motor BCIs aim to permit se…
  openalex Marie-Caroline Schaeffer, Tetiana Aksenova 2018-08-15 置信度 0.80 Brain–computer interfaceComputer scienceDecoding methodsIdentification (biology)Human–computer interaction
• Removal of Artifacts from EEG Signals: A Review
  Electroencephalogram (EEG) plays an important role in identifying brain activity and behavior. However, the recorded electrical activity always be contaminated with artifacts and then affect the analysis of EEG signal. Hence, it is essential to develop methods…
  openalex Jiang Xiao, Gui‐Bin Bian, Zean Tian 2019-02-26 置信度 0.82 ElectroencephalographyArtifact (error)Computer scienceArtificial intelligenceSIGNAL (programming language)
• Microglia Are Essential to Masculinization of Brain and Behavior
  Brain sexual differentiation in rodents results from the perinatal testicular androgen surge. In the preoptic area (POA), estradiol aromatized from testosterone upregulates the production of the proinflammatory molecule, prostaglandin E(2) (PGE(2)) to produce …
  openalex Kathryn M. Lenz, Bridget M. Nugent, Rachana Haliyur, Margaret M. McCarthy 2013-02-13 置信度 0.76 MicrogliaEndocrinologySexual differentiationInternal medicinePreoptic area
• The Current Research of Combining Multi-Modal Brain-Computer Interfaces With Virtual Reality
  Combing brain-computer interfaces (BCI) and virtual reality (VR) is a novel technique in the field of medical rehabilitation and game entertainment. However, the limitations of BCI such as a limited number of action commands and low accuracy hinder the widespr…
  openalex Wen Dong, Bingbing Liang, Yanhong Zhou, Hongqian Chen 等 2020-12-29 置信度 0.82 Brain–computer interfaceVirtual realityComputer scienceHuman–computer interactionModal
• A Review on Brain-Computer Interface (BCI) Spellers: P300 Speller
  AIMS• Demonstrate the International 10-20 EEG system• Understand steps required to set-up a10-20 EEG montage for a Polysomnography sleep study.• Give each delegate a practical experience setting up a Sleep EEG montage using the 10-20 EEG system.
  openalex Sarah S. Alrumiah 2020-08-25 置信度 0.79 Brain–computer interfaceInterface (matter)Computer scienceSpeech recognitionHuman–computer interaction
• Brain-computer interfaces for 3D games
  Brain-Computer Interfaces (BCI) are communication systems conveying messages through brain activity only. This paper elaborates on the suitability of BCI for 3D Video Games (VG). Thus, we first review some recent BCI-based 3D VG. We then discuss the limitation…
  openalex Fabien Lotte 2011-06-29 置信度 0.80 Brain–computer interfaceComputer scienceUsabilityHuman–computer interactionVideo game
• Brain computer interface learning for systems based on electrocorticography and intracortical microelectrode arrays
  A brain-computer interface (BCI) system transforms neural activity into control signals for external devices in real time. A BCI user needs to learn to generate specific cortical activity patterns to control external devices effectively. We call this process B…
  openalex Shivayogi V. Hiremath, Weidong Chen, Wei Wang, Stephen T. Foldes 等 2015-06-10 置信度 0.80 Brain–computer interfaceComputer scienceOptogeneticsInterface (matter)Brain stimulation
• Adaptive Deep Brain Stimulation: From Experimental Evidence Toward Practical Implementation
  Closed-loop adaptive deep brain stimulation (aDBS) can deliver individualized therapy at an unprecedented temporal precision for neurological disorders. This has the potential to lead to a breakthrough in neurotechnology, but the translation to clinical practi…
  openalex Wolf‐Julian Neumann, Ro’ee Gilron, Simon Little, Gerd Tinkhauser 2023-05-06 置信度 0.82 Deep brain stimulationBrain stimulationNeurophysiologyNeuroscienceMovement disorders
• BrainNet: A Multi-Person Brain-to-Brain Interface for Direct Collaboration Between Brains
  We present BrainNet which, to our knowledge, is the first multi-person non-invasive direct brain-to-brain interface for collaborative problem solving. The interface combines electroencephalography (EEG) to record brain signals and transcranial magnetic stimula…
  openalex Linxing Jiang, Andrea Stocco, Darby M. Losey, Justin A. Abernethy 等 2019-04-16 置信度 0.82 Interface (matter)Brain–computer interfaceComputer scienceDecoding methodsBlock (permutation group theory)
• Exploring the frontier: Transformer-based models in EEG signal analysis for brain-computer interfaces
  This review systematically explores the application of transformer-based models in EEG signal processing and brain-computer interface (BCI) development, with a distinct focus on ensuring methodological rigour and adhering to empirical validations within the ex…
  openalex Maximilian Achim Pfeffer, Sai Ho Ling, Johnny Kwok Wai Wong 2024-06-12 置信度 0.84 ElectroencephalographyComputer scienceTransformerFrontierSignal processing
• An integrated brain-machine interface platform with thousands of channels
  Abstract Brain-machine interfaces (BMIs) hold promise for the restoration of sensory and motor function and the treatment of neurological disorders, but clinical BMIs have not yet been widely adopted, in part because modest channel counts have limited their po…
  openalex Elon Musk, Neuralink 2019-07-17 置信度 0.82 ScalabilityComputer scienceComputer hardwareUSBEmbedded system
• NON-INVASIVE BRAIN-MACHINE INTERACTION
  The promise of Brain-Computer Interfaces (BCI) technology is to augment human capabilities by enabling interaction with computers through a conscious and spontaneous modulation of the brainwaves after a short training period. Indeed, by analyzing brain electri…
  openalex José del R. Millán, Pierre W. Ferrez, Ferran Galán, Eileen Lew 等 2008-08-01 置信度 0.78 Brain–computer interfaceComputer scienceHuman–computer interactionWheelchairBrain activity and meditation
• Single-trial dynamics of motor cortex and their applications to brain-machine interfaces
  Increasing evidence suggests that neural population responses have their own internal drive, or dynamics, that describe how the neural population evolves through time. An important prediction of neural dynamical models is that previously observed neural activi…
  openalex Jonathan C. Kao, Paul Nuyujukian, Stephen I. Ryu, Mark M. Churchland 等 2015-07-29 置信度 0.80 Neural activityComputer sciencePopulationBrain–computer interfaceDynamics (music)
• Two new Later Stone Age sites from the Final Pleistocene in the Falémé Valley, eastern Senegal
  17 pages, 3 figures, 2 tables.-- This is an open access article distributed under the terms of the Creative Commons Attribution License
  openalex Ndiaye, Matar, Lespez, Laurent, Tribolo, Chantal, Rasse, Michel 等 2024-03-28 置信度 0.73 Insulin sensitivitySugarInsulinCarbohydrate metabolismMetabolism
• Progress and perspectives on targeting nanoparticles for brain drug delivery
  Due to the ability of the blood-brain barrier (BBB) to prevent the entry of drugs into the brain, it is a challenge to treat central nervous system disorders pharmacologically. The development of nanotechnology provides potential to overcome this problem. In t…
  openalex Huile Gao 2016-06-15 置信度 0.76 Drug deliveryTargeted drug deliveryNanotechnologyNanoparticleDrug
• Towards brain-robot interfaces in stroke rehabilitation
  A neurorehabilitation approach that combines robot-assisted active physical therapy and Brain-Computer Interfaces (BCIs) may provide an additional mileage with respect to traditional rehabilitation methods for patients with severe motor impairment due to cereb…
  openalex Manuel Gomez-Rodriguez, Moritz Grosse‐Wentrup, J. Hill, Alireza Gharabaghi 等 2011-06-01 置信度 0.80 NeurorehabilitationBrain–computer interfaceRehabilitationPhysical medicine and rehabilitationComputer science
• Mechanisms of fluid movement into, through and out of the brain: evaluation of the evidence
  Interstitial fluid (ISF) surrounds the parenchymal cells of the brain and spinal cord while cerebrospinal fluid (CSF) fills the larger spaces within and around the CNS. Regulation of the composition and volume of these fluids is important for effective functio…
  openalex Stephen B. Hladky, Margery A. Barrand 2014-01-01 置信度 0.80 Cerebrospinal fluidInterstitial fluidBlood–brain barrierChoroid plexusParenchyma
• A Low-Cost EEG System-Based Hybrid Brain-Computer Interface for Humanoid Robot Navigation and Recognition
  This paper describes a hybrid brain-computer interface (BCI) technique that combines the P300 potential, the steady state visually evoked potential (SSVEP), and event related de-synchronization (ERD) to solve a complicated multi-task problem consisting of huma…
  openalex Bongjae Choi, Sungho Jo 2013-09-04 置信度 0.80 Brain–computer interfaceHumanoid robotRobotComputer scienceArtificial intelligence
• Enhancing Brain Plasticity to Promote Stroke Recovery
  Stroke disturbs both the structural and functional integrity of the brain. The understanding of stroke pathophysiology has improved greatly in the past several decades. However, effective therapy is still limited, especially for patients who are in the subacut…
  openalex Fan Su, Wendong Xu 2020-10-30 置信度 0.82 NeuroplasticityStroke (engine)NeuroscienceStroke recoveryMedicine
• Application of BCI systems in neurorehabilitation: a scoping review
  PURPOSE: To review various types of electroencephalographic activities of the brain and present an overview of brain-computer interface (BCI) systems' history and their applications in rehabilitation. METHODS: A scoping review of published English literature o…
  openalex Mahdi Bamdad, Homayoon Zarshenas, Mohammad Auais 2015-01-05 置信度 0.80 Brain–computer interfaceNeurorehabilitationRehabilitationComputer scienceElectroencephalography
• Nanoparticle classification, physicochemical properties, characterization, and applications: a comprehensive review for biologists
  Interest in nanomaterials and especially nanoparticles has exploded in the past decades primarily due to their novel or enhanced physical and chemical properties compared to bulk material. These extraordinary properties have created a multitude of innovative a…
  openalex Nadeem Joudeh, Dirk Linke 2022-06-07 置信度 0.78 NanotechnologyCharacterization (materials science)NanoparticleChemistryMaterials science
• Shaping Functional Architecture by Oscillatory Alpha Activity: Gating by Inhibition
  In order to understand the working brain as a network, it is essential to identify the mechanisms by which information is gated between regions. We here propose that information is gated by inhibiting task-irrelevant regions, thus routing information to task-r…
  openalex Ole Jensen, Ali Mazaheri 2010-01-01 置信度 0.78 Alpha (finance)GatingTask (project management)Brain activity and meditationNeuroscience
• The associative brain at work: Evidence from paired associative stimulation studies in humans
  openalex Antonio Suppa, Angelo Quartarone, Hartwig R. Siebner, Robert Chen 等 2017-09-05 置信度 0.69 NeuroscienceHebbian theoryLong-term potentiationNeuroplasticityStimulus (psychology)
• Network neuroscience for optimizing brain–computer interfaces
  openalex Fabrizio De Vico Fallani, Danielle S. Bassett 2019-01-08 置信度 0.71 Computer sciencePerspective (graphical)Field (mathematics)Function (biology)Computational neuroscience
• Neural Decoding of EEG Signals with Machine Learning: A Systematic Review
  Electroencephalography (EEG) is a non-invasive technique used to record the brain's evoked and induced electrical activity from the scalp. Artificial intelligence, particularly machine learning (ML) and deep learning (DL) algorithms, are increasingly being app…
  openalex Maham Saeidi, Waldemar Karwowski, Farzad V. Farahani, Krzysztof Fiok 等 2021-11-18 置信度 0.82 ElectroencephalographyComputer scienceArtificial intelligenceFeature extractionSupport vector machine
• A wireless body area network of intelligent motion sensors for computer assisted physical rehabilitation
  BACKGROUND: Recent technological advances in integrated circuits, wireless communications, and physiological sensing allow miniature, lightweight, ultra-low power, intelligent monitoring devices. A number of these devices can be integrated into a Wireless Body…
  openalex Emil Jovanov, Aleksandar Milenković, Chris Otto, Piet C. de Groen 2005-03-01 置信度 0.78 Body area networkComputer scienceWirelessWireless sensor networkStandardization
• The origin of extracellular fields and currents — EEG, ECoG, LFP and spikes
  openalex György Buzsáki, Costas A. Anastassiou, Christof Koch 2012-05-18 置信度 0.66 ExtracellularNeuroscienceTransmembrane proteinSIGNAL (programming language)Electrophysiology
• Brain-Computer Interface and Motor Imagery Training: The Role of Visual Feedback and Embodiment
  Controlling a brain-computer interface (BCI) is a difficult task that requires extensive training. Particularly in the case of motor imagery BCIs, users may need several training sessions before they learn how to generate desired brain activity and reach an ac…
  openalex Maryam Alimardani, Shuichi Nishio, Hiroshi Ishiguro 2018-10-17 置信度 0.80 Brain–computer interfaceMotor imageryComputer scienceTask (project management)Interface (matter)
• Review of Brain Computer Interface Components and Corresponding Research Topics
  This paper conducts a research on the literature of Brain Computer Interface(BCI) in recent years, inducing the four components of BCI and the research topics respectively, and providing a guide to newcomers for exploring BCI.BCI is divided into four parts inc…
  crossref Kang Wang, Xueqian Wang, Bin Liang, Gang Li 等 2016-02-24T21:36:30Z 置信度 0.78 brain-computer interfaceinterfaceelectroencephalographymotor imagerycomputer science
• A Wireless Brain-Machine Interface for Real-Time Speech Synthesis
  BACKGROUND: Brain-machine interfaces (BMIs) involving electrodes implanted into the human cerebral cortex have recently been developed in an attempt to restore function to profoundly paralyzed individuals. Current BMIs for restoring communication can provide i…
  openalex Frank H. Guenther, Jonathan S. Brumberg, E. Joseph Wright, Alfonso Nieto-Castañón 等 2009-12-08 置信度 0.78 Computer scienceLocked-in syndromeSpeech recognitionMotor cortexBrain–computer interface
• Methodological consensus on clinical proton MRS of the brain: Review and recommendations
  Proton MRS (1H MRS) provides noninvasive, quantitative metabolite profiles of tissue and has been shown to aid the clinical management of several brain diseases. Although most modern clinical MR scanners support MRS capabilities, routine use is largely restric…
  openalex Martin Wilson, Ovidiu C. Andronesi, Peter B. Barker, Robert Bartha 等 2019-03-28 置信度 0.76 MedicineMedical physics
• Lesion analysis of the brain areas involved in language comprehension
  openalex Nina F. Dronkers, David P. Wilkins, Robert D. Van Valin, Brenda B. Redfern 等 2004-02-12 置信度 0.64 PsychologyVoxelLesionNeuroimagingMiddle temporal gyrus
• Direct-Sense Brain–Computer Interfaces and Wearable Computers
  Brain-computer interfaces (BCIs) allow users to communicate directly with external devices via their brain signals. Recently, BCIs, and wearable computers in particular, have been receiving more attention by government and industry as an alternative means of i…
  openalex Chin‐Teng Lin, Thomas Do 2020-12-22 置信度 0.82 Brain–computer interfaceWearable computerHuman–computer interactionComputer scienceVirtual reality
• EEG-based brain–computer interfaces exploiting steady-state somatosensory-evoked potentials: a literature review
  A brain-computer interface (BCI) aims to derive commands from the user's brain activity in order to relay them to an external device. To do so, it can either detect a spontaneous change in the mental state, in the so-called 'active' BCIs, or a transient or sus…
  openalex Jimmy Petit, José Rouillard, François Cabestaing 2021-10-01 置信度 0.82 Brain–computer interfaceElectroencephalographyComputer scienceSomatosensory systemBrain activity and meditation
• A Review of User Interface Design for Interactive Machine Learning
  Interactive Machine Learning (IML) seeks to complement human perception and intelligence by tightly integrating these strengths with the computational power and speed of computers. The interactive process is designed to involve input from the user but does not…
  openalex John J. Dudley, Per Ola Kristensson 2018-06-13 置信度 0.80 Computer scienceHuman–computer interactionProcess (computing)Interface (matter)Complement (music)
• Exoskeletons and robotic prosthetics: a review of recent developments
  Purpose The purpose of this paper is to review recent developments in exoskeletons and robotic prosthetics. Design/methodology/approach This paper first describes a number of recently developed exoskeletons for military, civil and medical applications. It then…
  openalex Robert Bogue 2009-08-21 置信度 0.78 ExoskeletonEngineeringHuman–computer interactionComputer scienceEngineering ethics
• Editorial: The embodied brain: computational mechanisms of integrated sensorimotor interactions with a dynamic environment, volume II.
  pubmed Röhrbein F, Senden M 2023 置信度 0.75
• Efficient push-grasping for multiple target objects in clutter environments.
  Intelligent manipulation of robots in an unstructured environment is an important application field of artificial intelligence, which means that robots must have the ability of autonomous cognition and decision-making. A typical example of this type of environ…
  pubmed Wu L, Chen Y, Li Z, Liu Z 2023 置信度 0.93 computer sciencereinforcement learningartificial intelligencerobotcomputer and information sciences
• Quasi-passive lower limbs exosuit: an in-depth assessment of fatigue, kinematic and muscular patterns while comparing assistive strategies on an expert subject's gait analysis.
  Wearable robots are becoming a valuable solution that helps injured, and elderly people regain mobility and improve clinical outcomes by speeding up the rehabilitation process. The XoSoft exosuit identified several benefits, including improvement of assistance…
  pubmed Di Natali C, Ortiz J, Caldwell DG 2023 置信度 0.93 physical medicine and rehabilitationroboticsrehabilitationbrain-computer interfacemedicine
• Assistance level quantification-based human-robot interaction space reshaping for rehabilitation training.
  Stroke has become a major disease that seriously threatens human health due to its high incidence and disability rates. Most patients undergo upper limb motor dysfunction after stroke, which significantly impairs the ability of stroke survivors in their activi…
  pubmed Li X, Lu Q, Chen P, Gong S 等 2023 置信度 0.93 physical medicine and rehabilitationmedicinerehabilitationbrain-computer interfacemotor imagery
• Gradient adaptive sampling and multiple temporal scale 3D CNNs for tactile object recognition.
  Tactile object recognition (TOR) is very important for the accurate perception of robots. Most of the TOR methods usually adopt uniform sampling strategy to randomly select tactile frames from a sequence of frames, which will lead to a dilemma problem, i.e., a…
  pubmed Qian X, Meng J, Wang W, Jiang L 2023 置信度 0.93 computer and information sciencescs.lgcs.cvroboticscomputer vision and pattern recognition
• A comparative analysis of near-infrared image colorization methods for low-power NVIDIA Jetson embedded systems.
  The near-infrared (NIR) image obtained by an NIR camera is a grayscale image that is inconsistent with the human visual spectrum. It can be difficult to perceive the details of a scene from an NIR scene; thus, a method is required to convert them to visible im…
  pubmed Shi S, Jiang Q, Jin X, Wang W 等 2023 置信度 0.83 computer sciencecs.cveess.ivcomputer vision and pattern recognitioncomputer and information sciences
• A directionally selective collision-sensing visual neural network based on fractional-order differential operator.
  In this paper, we propose a directionally selective fractional-order lobular giant motion detector (LGMD) visual neural network. Unlike most collision-sensing network models based on LGMDs, our model can not only sense collision threats but also obtain the mot…
  pubmed Wang Y, Li H, Zheng Y, Peng J 2023 置信度 0.93 computer and information sciencescs.lgcs.cvcomputer sciencecontrol theory
• Automatic vessel plate number recognition for surface unmanned vehicles with marine applications.
  In the practical application scenarios of USVs, it is necessary to identify a vessel in order to accomplish tasks. Considering the sensors equipped on the USV, visible images provide the fastest and most efficient way of determining the hull number. The curren…
  pubmed Zhang R, Zhang L, Su Y, Yu Q 等 2023 置信度 0.83 artificial intelligencecomputer scienceelectrical engineering, electronic engineering, information engineeringunderwatersignal processing
• Real-time depth completion based on LiDAR-stereo for autonomous driving.
  The integration of multiple sensors is a crucial and emerging trend in the development of autonomous driving technology. The depth image obtained by stereo matching of the binocular camera is easily influenced by environment and distance. The point cloud of Li…
  pubmed Wei M, Zhu M, Zhang Y, Wang J 等 2023 置信度 0.83 computer sciencecomputer and information sciencescs.aiunderwatercs.cv
• Effect of gait training using Welwalk on gait pattern in individuals with hemiparetic stroke: a cross-sectional study.
  We aimed to explore the effect of gait training using Welwalk on gait patterns by comparing differences in gait patterns between robotic-assisted gait training using Welwalk and gait training using an orthosis in individuals with hemiparetic stroke.
  pubmed Ii T, Hirano S, Imoto D, Otaka Y 2023 置信度 0.86 physical medicine and rehabilitationrehabilitationsocial and behavioral scienceselectroencephalographynatural language processing
• Grade-control outdoor turning flight of robo-pigeon with quantitative stimulus parameters.
  The robo-pigeon using homing pigeons as a motion carrier has great potential in search and rescue operations due to its superior weight-bearing capacity and sustained flight capabilities. However, before deploying such robo-pigeons, it is necessary to establis…
  pubmed Fang K, Mei H, Tang Y, Wang W 等 2023 置信度 0.90 rehabilitationsoft roboticselectroencephalographymotor imagerybrain-computer interface
• Understanding the neural mechanisms of empathy toward robots to shape future applications.
  This article provides an overview on how modern neuroscience evaluations link to robot empathy. It evaluates the brain correlates of empathy and caregiving, and how they may be related to the higher functions with an emphasis on women. We discuss that the unde…
  pubmed Chin JH, Haring KS, Kim P 2023 置信度 0.93 psychologycognitive sciencerobotroboticscognitive neuroscience
• Wrist redundancy management during pointing tasks remains stable over time and in presence of a visuomotor perturbation.
  Pointing at a screen using wrist and forearm movements is a kinematically redundant task, and the Central Nervous System seems to manage this redundancy by using a simplifying strategy, named Donders' Law for the wrist. In this work we investigated (1) whether…
  pubmed Raiano L, Noccaro A, Di Pino G, Formica D 2023 Apr 26 置信度 0.93 cs.rocs.aimulti-agent systemssocial and behavioral sciencesbrain-computer interface
• Robust and reusable self-organized locomotion of legged robots under adaptive physical and neural communications.
  Animals such as cattle can achieve versatile and elegant behaviors through automatic sensorimotor coordination. Their self-organized movements convey an impression of adaptability, robustness, and motor memory. However, the adaptive mechanisms underlying such …
  pubmed Sun T, Dai Z, Manoonpong P 2023 置信度 0.90 neuroimagingneuromorphic engineeringconsciousnesscomputer vision and pattern recognitioncognitive psychology
• A robotic arm control system with simultaneous and sequential modes combining eye-tracking with steady-state visual evoked potential in virtual reality environment.
  At present, single-modal brain-computer interface (BCI) still has limitations in practical application, such as low flexibility, poor autonomy, and easy fatigue for subjects. This study developed an asynchronous robotic arm control system based on steady-state…
  pubmed Guo R, Lin Y, Luo X, Gao X 等 2023 置信度 0.93 brain-computer interfaceelectroencephalographyinterfacecomputer sciencemotor imagery
• Adaptive cueing strategy for gait modification: A case study using auditory cues.
  People with Parkinson's (PwP) experience gait impairments that can be improved through cue training, where visual, auditory, or haptic cues are provided to guide the walker's cadence or step length. There are two types of cueing strategies: open and closed-loo…
  pubmed Wu TLY, Murphy A, Chen C, Kulić D 2023 置信度 0.93 computer and information sciencesbrain-computer interfaceelectrical engineering, electronic engineering, information engineeringcs.lghuman-computer interaction
• 3D network with channel excitation and knowledge distillation for action recognition.
  Modern action recognition techniques frequently employ two networks: the spatial stream, which accepts input from RGB frames, and the temporal stream, which accepts input from optical flow. Recent researches use 3D convolutional neural networks that employ spa…
  pubmed Hu Z, Mao J, Yao J, Bi S 2023 置信度 0.89 computer and information sciencescs.cvcs.lgartificial intelligencecomputer vision and pattern recognition
• Model transfer from 2D to 3D study for boxing pose estimation.
  Boxing as a sport is growing on Chinese campuses, resulting in a coaching shortage. The human pose estimation technology can be employed to estimate boxing poses and teach interns to relieve the shortage. Currently, 3D cameras can provide more depth informatio…
  pubmed Lin J, Xie X, Wu W, Xu S 等 2023 置信度 0.83 cs.rocomputer vision and pattern recognitioncs.cyhuman-computer interactioncs.hc
• Upper limb home-based robotic rehabilitation in chronic stroke patients: A pilot study.
  Robotic therapy allow to propose sessions of controlled and identical exercises, customizing settings, and characteristics on the individual patient. The effectiveness of robotic assisted therapy is still under study and the use of robots in clinical practice …
  pubmed Bressi F, Campagnola B, Cricenti L, Santacaterina F 等 2023 置信度 0.89 physical medicine and rehabilitationrehabilitationmedicineinternal medicineintensive care medicine
• Simulating developmental diversity: Impact of neural stochasticity on atypical flexibility and hierarchy.
  Investigating the pathological mechanisms of developmental disorders is a challenge because the symptoms are a result of complex and dynamic factors such as neural networks, cognitive behavior, environment, and developmental learning. Recently, computational m…
  pubmed Soda T, Ahmadi A, Tani J, Honda M 等 2023 置信度 0.89 cognitive sciencecognitionpsychologyneurosciencecs.lg
• Ground Reaction Force and Moment Estimation through EMG Sensing Using Long Short-Term Memory Network during Posture Coordination.
  Motion prediction based on kinematic information such as body segment displacement and joint angle has been widely studied. Because motions originate from forces, it is beneficial to estimate dynamic information, such as the ground reaction force (GRF), in add…
  pubmed Sakamoto SI, Hutabarat Y, Owaki D, Hayashibe M 2023 置信度 0.83 computer scienceelectrical engineering, electronic engineering, information engineeringcomputer and information sciencesroboticsrobot