仿生智能 · 全部实体（第 5 / 100 页）

本页收录第 401–500 条，共 10000 条 · 返回 仿生智能 首页

• A Review on Machine Learning Based on EEG and ECoG Signal for Brain Computer Interface
  Brain-computer interfaces (BCIs) are devices utilized for the detection and recognition of brain activity. With advancements in machine learning techniques, BCI projects have witnessed an increasing application of these techniques, leading to higher performanc…
  crossref Jingyun Shao 2024-11-25T21:54:44Z 置信度 0.70
• WITHDRAWN: A review on brain computer interface for locked in state patients
  crossref S. Ramkumar, J. Amutharaj, N. Gayathri, S. Mathupriya 2021-02-18T01:40:02Z 置信度 0.70
• Review of Brain Computer Interface Technology in the Treatment of Motor Dysfunction after Stroke
  We had reviewed the researches on brain computer interface(BCI) technology in the treatment of motor dysfunction after stroke by scholars from domestic and foreign, to explain in four aspects, such as definition and classification, working principle and theore…
  crossref 玉连 朱, 思捷 梁 2021-07-12T08:31:12Z 置信度 0.70
• Developing an Optimal Brain Computer Interface Model using Functional Near Infrared Spectroscopy: A Review
  Brain-Computer Interfaces (BCIs) are promising in advancing numerous applications.Although many functional near-infrared spectroscopy (fNIRS)-based BCIs have been studied, the development of an optimal fNIRS-based BCI model remains unclear.This study aims to r…
  crossref Jia Heng Ong, Kim Seng Chia 2023-12-25T08:56:26Z 置信度 0.70
• Improving the Brain-Computer Interface Learning Process with Gamification in Motor Imagery: A Review
  Brain-computer-interface-based motor imagery (MI-BCI), a control method for transferring the imagination of motor behavior to computer-based commands, could positively impact neural functions. With the safety guaranteed by non-invasive BCI devices, this method…
  openalex Chongli Gao, Mingyue Xia, Zhehao Zhang, Yongpeng Han 等 2022-10-21 置信度 0.72 Brain–computer interfaceMotor imageryInterface (matter)DistractionComputer science
• AT THE INTERFACE: DYNAMIC INTERACTIONS OF EXPLICIT AND IMPLICIT LANGUAGE KNOWLEDGE
  This paper considers how implicit and explicit knowledge are dissociable but cooperative. It reviews various psychological and neurobiological processes by which explicit knowledge of form-meaning associations impacts upon implicit language learning. The inter…
  openalex Nick C. Ellis 2005-06-01 置信度 0.72 Cognitive psychologyCognitive sciencePsychologyAnalogyExplicit memory
• A survey on robots controlled by motor imagery brain-computer interfaces
  A brain-computer interface (BCI) can provide a communication approach conveying brain information to the outside. Especially, the BCIs based on motor imagery play the important role for the brain-controlled robots, such as the rehabilitation robots, the wheelc…
  openalex Jincai Zhang, Mei Wang 2021-01-01 置信度 0.72 Brain–computer interfaceMotor imageryRobotComputer scienceElectroencephalography
• How the brain encodes the order of letters in a printed word: The SERIOL model and selective literature review
  openalex Carol Whitney 2001-06-01 置信度 0.72 Priming (agriculture)Coding (social sciences)PsychologyString (physics)Speech recognition
• An exoskeleton controlled by an epidural wireless brain–machine interface in a tetraplegic patient: a proof-of-concept demonstration
  openalex Alim Louis Benabid, Thomas Costecalde, Andrey Eliseyev, Guillaume Charvet 等 2019-10-03 置信度 0.72 TetraplegiaNeuroprostheticsPhysical medicine and rehabilitationExoskeletonBrain–computer interface
• Intracortical Hindlimb Brain–Computer Interface Systems: A Systematic Review
  Brain-computer interfaces (BCI) can help people with motor disorders to regain their ability to communicate and interact with the surrounding environment. The majority of studies in this field pursue the development of BCI systems to enhance or restore the mov…
  openalex Mohammad Taghi Ghodrati, Alavie Mirfathollahi, Vahid Shalchyan, Mohammad Reza Daliri 2023-01-01 置信度 0.72 HindlimbForelimbBrain–computer interfaceComputer sciencePhysical medicine and rehabilitation
• EEG hybrid brain-computer interfaces: A scoping review applying an existing hybrid-BCI taxonomy and considerations for pediatric applications
  Most hybrid brain-computer interfaces (hBCI) aim at improving the performance of single-input BCI. Many combinations are possible to configure an hBCI, such as using multiple brain input signals, different stimuli or more than one input system. Multiple studie…
  openalex Matheus G. Mussi, Kim Adams 2022-11-17 置信度 0.72 Brain–computer interfaceComputer scienceInterface (matter)Human–computer interactionElectroencephalography
• Multi-modal and multi-brain-computer interfaces: A review
  In this short paper we survey recent research views in non-traditional brain-computer interfaces. That is, interfaces that can process brain activity input, but that are designed for non-clinical purposes, that are meant to be used by `healthy' users, that pro…
  openalex Anton Nijholt 2015-12-01 置信度 0.72 Brain–computer interfaceComputer scienceHuman–computer interactionBrain activity and meditationProcess (computing)
• Review of real brain-controlled wheelchairs
  This paper presents a review of the state of the art regarding wheelchairs driven by a brain-computer interface. Using a brain-controlled wheelchair (BCW), disabled users could handle a wheelchair through their brain activity, granting autonomy to move through…
  openalex Álvaro Fernández-Rodríguez, Francisco Velasco-Álvarez, Ricardo Ron-Angevín 2016-10-14 置信度 0.72 WheelchairBrain–computer interfaceComputer scienceHuman–computer interactionTask (project management)
• Self-regulation of local brain activity using real-time functional magnetic resonance imaging (fMRI)
  openalex Nikolaus Weiskopf, Frank Scharnowski, Ralf Veit, Rainer Goebel 等 2004-07-01 置信度 0.72 Functional magnetic resonance imagingBrain activity and meditationNeurosciencePsychologyNeuroimaging
• MRI Segmentation of the Human Brain: Challenges, Methods, and Applications
  Image segmentation is one of the most important tasks in medical image analysis and is often the first and the most critical step in many clinical applications. In brain MRI analysis, image segmentation is commonly used for measuring and visualizing the brain'…
  openalex Ivana Despotović, Bart Goossens, Wilfried Philips 2015-01-01 置信度 0.72 SegmentationComputer scienceHuman brainNeuroscienceArtificial intelligence
• Brain–computer interfaces for EEG neurofeedback: Peculiarities and solutions
  openalex René J. Huster, Zacharais N. Mokom, Stefanie Enriquez‐Geppert, Christoph S. Herrmann 2013-09-04 置信度 0.72 NeurofeedbackBrain–computer interfaceElectroencephalographySensorimotor rhythmComputer science
• Brain computer interface: A comprehensive survey
  openalex Neha Tiwari, Damodar Reddy Edla, Shubham Dodia, Annushree Bablani 2018-10-01 置信度 0.72 Brain–computer interfaceInterface (matter)Field (mathematics)Computer scienceBridge (graph theory)
• Brain–computer interface game applications for combined neurofeedback and biofeedback treatment for children on the autism spectrum
  Individuals with autism spectrum disorder (ASD) show deficits in social and communicative skills, including imitation, empathy, and shared attention, as well as restricted interests and repetitive patterns of behaviors. Evidence for and against the idea that d…
  openalex Elisabeth V. C. Friedrich, Neil Suttie, Aparajithan Sivanathan, Theodore Lim 等 2014-07-03 置信度 0.72 NeurofeedbackImitationAutismAutism spectrum disorderBiofeedback
• A review on the performance of brain-computer interface systems used for patients with locked-in and completely locked-in syndrome
  openalex Sanaz Rezvani, SeyedHooman Hosseini-Zahraei, Amirreza Tootchi, Christoph Guger 等 2023-08-19 置信度 0.72 Brain–computer interfaceModalitiesComputer scienceField (mathematics)Interface (matter)
• Discovery and resupply of pharmacologically active plant-derived natural products: A review
  Medicinal plants have historically proven their value as a source of molecules with therapeutic potential, and nowadays still represent an important pool for the identification of novel drug leads. In the past decades, pharmaceutical industry focused mainly on…
  openalex Atanas G. Atanasov, Birgit Waltenberger, Eva‐Maria Pferschy‐Wenzig, Thomas Linder 等 2015-08-15 置信度 0.72 Natural (archaeology)BiologyBiochemical engineeringComputational biologyEngineering
• Brain-machine interfaces for rehabilitation in stroke: A review
  BACKGROUND: Motor paralysis after stroke has devastating consequences for the patients, families and caregivers. Although therapies have improved in the recent years, traditional rehabilitation still fails in patients with severe paralysis. Brain-machine inter…
  openalex Eduardo López‐Larraz, Andrea Sarasola-Sanz, Nerea Irastorza-Landa, Niels Birbaumer 等 2018-07-24 置信度 0.72 RehabilitationPhysical medicine and rehabilitationStroke (engine)Brain–computer interfaceMedicine
• fMRI Brain Decoding and Its Applications in Brain–Computer Interface: A Survey
  Brain neural activity decoding is an important branch of neuroscience research and a key technology for the brain-computer interface (BCI). Researchers initially developed simple linear models and machine learning algorithms to classify and recognize brain act…
  openalex Bing Du, Xiaomu Cheng, Yiping Duan, Huansheng Ning 2022-02-07 置信度 0.72 Brain–computer interfaceDecoding methodsComputer scienceFunctional magnetic resonance imagingNeural decoding
• EEG-Based Brain-Computer Interfaces
  openalex Yijun Wang, Masaki Nakanishi, Dan Zhang 2019-01-01 置信度 0.72 Brain–computer interfaceElectroencephalographyComputer scienceBrain activity and meditationNeuroscience
• Brain–Computer Interfacing Using Functional Near-Infrared Spectroscopy (fNIRS)
  Functional Near-Infrared Spectroscopy (fNIRS) is a wearable optical spectroscopy system originally developed for continuous and non-invasive monitoring of brain function by measuring blood oxygen concentration. Recent advancements in brain-computer interfacing…
  openalex Kogulan Paulmurugan, Vimalan Vijayaragavan, Sayantan Ghosh, Parasuraman Padmanabhan 等 2021-10-13 置信度 0.72 InterfacingFunctional near-infrared spectroscopyBrain functionComputer scienceFunction (biology)
• Reach and grasp by people with tetraplegia using a neurally controlled robotic arm
  openalex Leigh R. Hochberg, Daniel Bacher, Beata Jarosiewicz, Nicolas Y. Masse 等 2012-05-01 置信度 0.72 TetraplegiaBrain–computer interfacePhysical medicine and rehabilitationRobotic armNeuroprosthetics
• Electroencephalography Signal Processing: A Comprehensive Review and Analysis of Methods and Techniques
  The electroencephalography (EEG) signal is a noninvasive and complex signal that has numerous applications in biomedical fields, including sleep and the brain-computer interface. Given its complexity, researchers have proposed several advanced preprocessing an…
  openalex Ahmad Chaddad, Yihang Wu, Reem Kateb, Ahmed Bouridane 2023-07-16 置信度 0.72 ElectroencephalographySignal processingComputer sciencePreprocessorSIGNAL (programming language)
• Accessible Digital Musical Instruments—A Review of Musical Interfaces in Inclusive Music Practice
  Current advancements in music technology enable the creation of customized Digital Musical Instruments (DMIs). This paper presents a systematic review of Accessible Digital Musical Instruments (ADMIs) in inclusive music practice. History of research concerned …
  openalex Emma Frid 2019-07-26 置信度 0.72 Human–computer interactionComputer scienceMusicalTouchscreenPersonalization
• Brain‐machine interface of upper limb recovery in stroke patients rehabilitation: A systematic review
  BACKGROUND: Technologies such as brain-computer interfaces are able to guide mental practice, in particular motor imagery performance, to promote recovery in stroke patients, as a combined approach to conventional therapy. OBJECTIVE: The aim of this systematic…
  openalex R. Carvalho, N. S. Dias, João Cerqueira 2019-01-04 置信度 0.72 Physical medicine and rehabilitationNeurofeedbackRehabilitationBrain–computer interfaceStroke (engine)
• NMR relaxation times in the human brain at 3.0 tesla
  Relaxation time measurements at 3.0 T are reported for both gray and white matter in normal human brain. Measurements were made using a 3.0 T Bruker Biospec magnetic resonance imaging (MRI) scanner in normal adults with no clinical evidence of neurological dis…
  openalex Janaka Wansapura, Scott K. Holland, R. Scott Dunn, William S. Ball 1999-04-01 置信度 0.72 White matterGray (unit)Nuclear medicineMagnetic resonance imagingNuclear magnetic resonance
• Brain-computer interfaces in digital mindfulness training for metacognitive, emotional and attention regulation skills: a literature review
  Brain–Computer Interfaces (BCIs) are specialized systems that allow users to control computer applications using their brain waves. With the arrival of consumer-grade electroencephalography (EEG) equipment, brain-controlled systems began to find fertile ground…
  openalex Eleni Mitsea, Athanasios Drigas, Charalabos Skianis 2023-02-18 置信度 0.72 MindfulnessBrain–computer interfaceNeurofeedbackMetacognitionPsychology
• Putting the Brain to Work: Neuroergonomics Past, Present, and Future
  OBJECTIVE: The authors describe research and applications in prominent areas of neuroergonomics. BACKGROUND: Because human factors/ergonomics examines behavior and mind at work, it should include the study of brain mechanisms underlying human performance. METH…
  openalex Raja Parasuraman, Glenn F. Wilson 2008-06-01 置信度 0.72 Work (physics)PsychologySociologyEngineering ethicsEngineering
• Motor imagery based brain–computer interfaces: An emerging technology to rehabilitate motor deficits
  openalex Luz María Alonso-Valerdi, Ricardo A. Salido-Ruiz, Ricardo A. Ramírez-Mendoza 2015-09-15 置信度 0.72 Brain–computer interfaceMotor imageryRehabilitationPsychologySensory system
• Polymeric Scaffolds in Tissue Engineering Application: A Review
  Current strategies of regenerative medicine are focused on the restoration of pathologically altered tissue architectures by transplantation of cells in combination with supportive scaffolds and biomolecules. In recent years, considerable interest has been giv…
  openalex Brahatheeswaran Dhandayuthapani, Yasuhiko Yoshida, Toru Maekawa, D. Sakthi Kumar 2011-01-01 置信度 0.72 ScaffoldTissue engineeringRegenerative medicineExtracellular matrixBiomedical engineering
• A survey on deep learning in medical image analysis
  openalex Geert Litjens, Thijs Kooi, Babak Ehteshami Bejnordi, Arnaud A. A. Setio 等 2017-07-26 置信度 0.72 Deep learningArtificial intelligenceComputer scienceSegmentationField (mathematics)
• Information Systems Opportunities in Brain–Machine Interface Decoders
  Brain-machine interface (BMI) systems convert neural signals from motor regions of the brain into control signals to guide prosthetic devices. The ultimate goal of BMIs is to improve the quality of life for people with paralysis by providing direct neural cont…
  openalex Jonathan C. Kao, Sergey D. Stavisky, David Sussillo, Paul Nuyujukian 等 2014-04-10 置信度 0.72 Brain–computer interfaceComputer scienceRobustness (evolution)Interface (matter)Neuroprosthetics
• Unscented Kalman Filter for Brain-Machine Interfaces
  Brain machine interfaces (BMIs) are devices that convert neural signals into commands to directly control artificial actuators, such as limb prostheses. Previous real-time methods applied to decoding behavioral commands from the activity of populations of neur…
  openalex Zheng Li, Joseph E. O’Doherty, Timothy Hanson, Mikhail Lebedev 等 2009-07-14 置信度 0.72 Kalman filterComputer scienceBrain–computer interfaceNeural decodingFilter (signal processing)
• Long-Term Training with a Brain-Machine Interface-Based Gait Protocol Induces Partial Neurological Recovery in Paraplegic Patients
  Brain-machine interfaces (BMIs) provide a new assistive strategy aimed at restoring mobility in severely paralyzed patients. Yet, no study in animals or in human subjects has indicated that long-term BMI training could induce any type of clinical recovery. Eig…
  openalex Ana R. C. Donati, Solaiman Shokur, Edgard Morya, Debora S. F. Campos 等 2016-08-11 置信度 0.72 NeurorehabilitationPhysical medicine and rehabilitationSpinal cord injuryProprioceptionMedicine
• Towards neural co-processors for the brain: combining decoding and encoding in brain–computer interfaces
  openalex Rajesh P. N. Rao 2019-04-01 置信度 0.72 Brain–computer interfaceDecoding methodsNeural decodingHebbian theoryComputer science
• An Integrated Micro- and Macroarchitectural Analysis of the Drosophila Brain by Computer-Assisted Serial Section Electron Microscopy
  The analysis of microcircuitry (the connectivity at the level of individual neuronal processes and synapses), which is indispensable for our understanding of brain function, is based on serial transmission electron microscopy (TEM) or one of its modern variant…
  openalex Albert Cardona, Stephan Saalfeld, Stephan Preibisch, Benjamin Schmid 等 2010-10-05 置信度 0.72 BiologyNeuroscienceNeuriteConnectomicsVentral nerve cord
• A Review of EEG Artifact Removal Methods for Brain-Computer Interface Applications
  The use of electroencephalogram signals in brain-computer interface Applications is widely used in Neuroscience. EEG records electrical activity in the brain but can also capture unwanted electrical activities called artifacts. They can originate from environm…
  openalex Safdar Sardar Khan, Jaskirat Singh Sudan, Anuj Pathak, Rakesh Pandit 等 2024-02-27 置信度 0.72 Artifact (error)Brain–computer interfaceElectroencephalographyComputer scienceInterface (matter)
• Paradigms and methods of noninvasive brain-computer interfaces in motor or communication assistance and rehabilitation: a systematic review
  openalex Jianjun Meng, Yuxuan Wei, Ximing Mai, Songwei Li 等 2025-03-09 置信度 0.72 Brain–computer interfaceMotor imagerySoftware portabilityComputer scienceModalities
• Review of the BCI Competition IV
  The BCI competition IV stands in the tradition of prior BCI competitions that aim to provide high quality neuroscientific data for open access to the scientific community. As experienced already in prior competitions not only scientists from the narrow field o…
  openalex Michael Tangermann, Klaus‐Robert Müller, Ad Aertsen, Niels Birbaumer 等 2012-01-01 置信度 0.72 Brain–computer interfaceSession (web analytics)Competition (biology)Asynchronous communicationComputer science
• Electroencephalogram based brain-computer interface: Applications, challenges, and opportunities
  openalex Hitesh Yadav, Surita Maini 2023-05-04 置信度 0.72 Brain–computer interfaceComputer scienceInterface (matter)Human–computer interactionDomain (mathematical analysis)
• Using EEG-based brain computer interface and neurofeedback targeting sensorimotor rhythms to improve motor skills: Theoretical background, applications and prospects
  openalex Camille Jeunet, Bertrand Glize, Aileen McGonigal, Jean-Marie Batail 等 2018-11-07 置信度 0.72 NeurofeedbackSensorimotor rhythmBrain–computer interfaceElectroencephalographyPsychology
• Recent applications of EEG-based brain-computer-interface in the medical field
  Brain-computer interfaces (BCIs) represent an emerging technology that facilitates direct communication between the brain and external devices. In recent years, numerous review articles have explored various aspects of BCIs, including their fundamental princip…
  openalex Xiuyun Liu, Wenlong Wang, Miao Liu, Mingyi Chen 等 2025-03-24 置信度 0.72 Brain–computer interfaceElectroencephalographyRehabilitationInterface (matter)Medicine
• Neuroplasticity in the context of motor rehabilitation after stroke
  openalex Michael A. Dimyan, Leonardo G. Cohen 2011-01-18 置信度 0.72 RehabilitationNeuroplasticityPhysical medicine and rehabilitationStroke (engine)Medicine
• From thought to action: The brain–machine interface in posterior parietal cortex
  A dramatic example of translational monkey research is the development of neural prosthetics for assisting paralyzed patients. A neuroprosthesis consists of implanted electrodes that can record the intended movement of a paralyzed part of the body, a computer …
  openalex Richard A. Andersen, Tyson Aflalo, Spencer Kellis 2019-12-23 置信度 0.72 NeuroprostheticsBrain–computer interfaceTetraplegiaDecodesPosterior parietal cortex
• Direct Electrical Stimulation in Electrocorticographic Brain–Computer Interfaces: Enabling Technologies for Input to Cortex
  Electrocorticographic brain computer interfaces (ECoG-BCIs) offer tremendous opportunities for restoring function in individuals suffering from neurological damage and for advancing basic neuroscience knowledge. ECoG electrodes are already commonly used clinic…
  openalex David J. Caldwell, Jeffrey G. Ojemann, Rajesh P. N. Rao 2019-08-07 置信度 0.72 ElectrocorticographyBrain–computer interfaceNeuroscienceElectroencephalographyBrain stimulation
• The Long-Term Health Consequences of Child Physical Abuse, Emotional Abuse, and Neglect: A Systematic Review and Meta-Analysis
  BACKGROUND: Child sexual abuse is considered a modifiable risk factor for mental disorders across the life course. However the long-term consequences of other forms of child maltreatment have not yet been systematically examined. The aim of this study was to s…
  openalex Rosana Norman, Munkhtsetseg Byambaa, Rumna De, Alexander Butchart 等 2012-11-27 置信度 0.72 Psychological abusePhysical abuseNeglectSexual abuseChild abuse
• 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 0.72 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 0.72 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 0.72 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 0.72 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 0.72 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 0.72 Computer scienceArtificial neural networkNeuroscienceArtificial intelligenceMachine learning
• Decoding fMRI brain states in real-time
  openalex Stephen M. LaConte 2010-07-01 置信度 0.72 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 0.72 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 0.72 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 0.72 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 0.72 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 0.72 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 0.72 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 0.72 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 0.72 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 0.72 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 0.72 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 0.72 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 0.72 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 0.72 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 0.72 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 0.72 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 0.72 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 0.72 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 0.72 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 0.72 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 0.72 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 0.72 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 0.72 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 0.72 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 0.72 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 0.72 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 0.72 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 0.72 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 0.72 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 0.72 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 0.72 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 0.72 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 0.72 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 0.72 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 0.72 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 0.72 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 0.72 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 0.72 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 0.72 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 0.72 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 0.72 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 0.72 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 0.72 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 0.72 Deep brain stimulationBrain stimulationNeurophysiologyNeuroscienceMovement disorders