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• The Presentation of Brain-computer Interfaces As Autonomy-enhancing Therapy Products
  Abstract This paper explores the societal and individual acceptance of technologies for the human body, focusing on brain-computer interfaces (BCIs), particularly Elon Musk's Neuralink. BCIs promise a direct connection between the brain and computers. Their ac…
  openalex Toni Garbe 2024-10-11 置信度 0.72 Philosophy of technologyPresentation (obstetrics)Philosophy of scienceAutonomyNeuroethics
• Decreased brain connectivity in smoking contrasts with increased connectivity in drinking
  In a group of 831 participants from the general population in the Human Connectome Project, smokers exhibited low overall functional connectivity, and more specifically of the lateral orbitofrontal cortex which is associated with non-reward mechanisms, the adj…
  openalex Wei Cheng, Edmund T. Rolls, Trevor W. Robbins, Weikang Gong 等 2019-01-07 置信度 0.72 Orbitofrontal cortexImpulsivityFunctional connectivityPrecuneusCuneus
• Developing a tablet-based brain-computer interface and robotic prototype for upper limb rehabilitation
  Background The current study explores the integration of a motor imagery (MI)-based BCI system with robotic rehabilitation designed for upper limb function recovery in stroke patients. Methods We developed a tablet deployable BCI control of the virtual iTbot f…
  openalex Kishor Lakshminarayanan, Vadivelan Ramu, Rakshit Shah, Md Samiul Haque Sunny 等 2024-07-23 置信度 0.72 Brain–computer interfaceRehabilitationMotor imageryPhysical medicine and rehabilitationMotor function
• Activation of a Rhythmic Lower Limb Movement Pattern during the Use of a Multimodal Brain–Computer Interface: A Case Study of a Clinically Complete Spinal Cord Injury
  Brain-computer interfaces (BCIs) that integrate virtual reality with tactile feedback are increasingly relevant for neurorehabilitation in spinal cord injury (SCI). In our previous case study employing a BCI-based virtual reality neurorehabilitation protocol, …
  openalex Carla Pais-Vieira, José Gabriel da Silva Figueiredo, André Perrotta, Demétrio Matos 等 2024-03-16 置信度 0.72 NeurorehabilitationSpinal cord injuryPhysical medicine and rehabilitationBrain–computer interfaceRhythm
• Advancements in brain-machine interfaces for application in the metaverse
  In recent years, with the shift of focus in metaverse research toward content exchange and social interaction, breaking through the current bottleneck of audio-visual media interaction has become an urgent issue. The use of brain-machine interfaces for sensory…
  openalex Yang Liu, Ruibin Liu, Jinnian Ge, Yue Wang 2024-06-11 置信度 0.72 MetaverseComputer scienceHuman–computer interactionVirtual realityCognitive science
• TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods
  The TRIPOD (Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis) statement was published in 2015 to provide the minimum reporting recommendations for studies developing or evaluating the performance of a prediction m…
  openalex Professor Gary S. Collins, Karel G.M. Moons, Paula Dhiman, Richard D Riley 等 2024-04-16 置信度 0.72 Tripod (photography)ChecklistMachine learningComputer scienceArtificial intelligence
• Evoking artificial speech perception through invasive brain stimulation for brain-computer interfaces: current challenges and future perspectives
  Encoding artificial perceptions through brain stimulation, especially that of higher cognitive functions such as speech perception, is one of the most formidable challenges in brain-computer interfaces (BCI). Brain stimulation has been used for functional mapp…
  openalex Yirye Hong, Seokyun Ryun, Chun Kee Chung 2024-06-26 置信度 0.72 Brain–computer interfaceBrain stimulationPerceptionTranscranial direct-current stimulationNeuroscience
• Incremental Dilations Using CNN for Brain Tumor Classification
  Brain tumor classification is a challenging task in the field of medical image processing. Technology has now enabled medical doctors to have additional aid for diagnosis. We aim to classify brain tumors using MRI images, which were collected from anonymous pa…
  openalex Sanjiban Sekhar Roy, Nishant Rodrigues, Y‐h. Taguchi 2020-07-17 置信度 0.72 Computer scienceConvolutional neural networkDilation (metric space)Artificial intelligenceOverhead (engineering)
• China's new ethical guidelines for the use of brain–computer interfaces
  While the world is bewildered by the dazzling advances of generative artificial intelligence and struggling to find consensual guidelines for its governance, the rapid pace of research on the brain–computer interface (BCI) also calls for governance on its deve…
  openalex Mu‐ming Poo 2024-02-13 置信度 0.72 ChinaPsychologyEngineering ethicsPolitical scienceEngineering
• Deep Learning in Large and Multi-Site Structural Brain MR Imaging Datasets
  Large, multi-site, heterogeneous brain imaging datasets are increasingly required for the training, validation, and testing of advanced deep learning (DL)-based automated tools, including structural magnetic resonance (MR) image-based diagnostic and treatment …
  openalex Mariana Bento, Irene Fantini, Justin Park, Letícia Rittner 等 2022-01-20 置信度 0.72 Generalizability theoryComputer scienceNeuroimagingArtificial intelligenceMachine learning
• An era of brain-computer interface: BCI migration into space
  Brain-computer interface's (BCI) potential applications increased tremendously over the past decade. The rising of this new technology is providing promising solutions in the field of aerospace and space exploration. As astronauts face diverse challenges in lo…
  openalex Tamara Hummadi, Indranath Chatterjee 2021-06-01 置信度 0.72 Brain–computer interfaceSpaceflightInterface (matter)Computer scienceSpace (punctuation)
• A multistrategy differential evolution algorithm combined with Latin hypercube sampling applied to a brain–computer interface to improve the effect of node displacement
  Injection molding is a common plastic processing technique that allows melted plastic to be injected into a mold through pressure to form differently shaped plastic parts. In injection molding, in-mold electronics (IME) can include various circuit components, …
  openalex Hanjui Chang, Yue Sun, Shuzhou Lu, Daiyao Lin 2024-09-03 置信度 0.72 Molding (decorative)Computer scienceNode (physics)Interface (matter)Process (computing)
• Convolutional neural networks in medical image understanding: a survey
  openalex D. R. Sarvamangala, Raghavendra V. Kulkarni 2021-01-03 置信度 0.72 Convolutional neural networkComputer scienceArtificial intelligenceImage (mathematics)Medical imaging
• RETRACTED: A Review on Biomaterials for Neural Interfaces: Enhancing Brain-Machine Interfaces
  This proceeding volume has been retracted from the publication because we found some solid reasons to believe that it has infringed our integrity criteria and now presents a risk for our journal and scholarly science in general. Different types of malpractice …
  openalex B Ramesh, R J Anandhi, Vanya Arun, Atul Singla 等 2024-01-01 置信度 0.72 Brain–computer interfaceComputer scienceBrain implantHuman–computer interactionNeuroscience
• Active electronic skin: an interface towards ambient haptic feedback on physical surfaces
  Abstract In the era of ubiquitous computing with flourished visual displays in our surroundings, the application of haptic feedback technology still remains in its infancy. Bridging the gap between haptic technology and the real world to enable ambient haptic …
  openalex Yuan Guo, Yun Wang, Qianqian Tong, B. Shan 等 2024-05-02 置信度 0.72 Haptic technologyComputer scienceHuman–computer interactionWearable computerStereotaxy
• The brain-computer interface in the recovery of upper limb motor function after stroke
  Brain-computer interface (BCI) technology is a promising development for restoring motor functions of the upper limb (UL). The article presents the data of randomized clinical trials from 2016 to 2024 years on the use of BCIs in post-stroke dysfunction of UL, …
  openalex M. Yu. Pankov, Elena V. Kostenko, Л. В. Петрова, Maksim S. Filippov 2025-04-21 置信度 0.72 Physical medicine and rehabilitationMotor functionStroke (engine)Brain–computer interfaceUpper limb
• Concepts at the Interface
  Abstract Research on concepts has concentrated on the way people apply concepts online, when presented with a stimulus. Just as important, however, is the use of concepts offline, when planning what to do or thinking about what is the case. There is strong evi…
  openalex Nicholas Shea 2024-08-09 置信度 0.72 Cognitive scienceCognitionThinking processesProcess (computing)Action (physics)
• Temporal interference stimulation disrupts spike timing in the primate brain
  Electrical stimulation can regulate brain activity, producing clear clinical benefits, but focal and effective neuromodulation often requires surgically implanted electrodes. Recent studies argue that temporal interference (TI) stimulation may provide similar …
  openalex Pedro G. Vieira, Matthew R. Krause, Christopher C. Pack 2024-05-29 置信度 0.72 NeuroscienceStimulationNeuromodulationBrain stimulationDeep brain stimulation
• Skin-interfaced electronics: A promising and intelligent paradigm for personalized healthcare
  openalex Yangzhi Zhu, Jinghang Li, Jinjoo Kim, Shaopei Li 等 2023-03-07 置信度 0.72 Health carePersonalized medicineElectronicsCommercializationComputer science
• From lab to life: assessing the impact of real-world interactions on the operation of rapid serial visual presentation-based brain-computer interfaces
  Abstract Objective. Brain-computer interfaces (BCI) have been extensively researched in controlled lab settings where the P300 event-related potential (ERP), elicited in the rapid serial visual presentation (RSVP) paradigm, has shown promising potential. Howev…
  openalex Muhammad Awais, Tomás Ward, Peter Redmond, Graham Healy 2024-06-28 置信度 0.72 Rapid serial visual presentationBrain–computer interfaceComputer scienceElectroencephalographyEvent-related potential
• MedShapeNet – a large-scale dataset of 3D medical shapes for computer vision
  OBJECTIVES: The shape is commonly used to describe the objects. State-of-the-art algorithms in medical imaging are predominantly diverging from computer vision, where voxel grids, meshes, point clouds, and implicit surface models are used. This is seen from th…
  pubmed Jianning Li, Zongwei Zhou, Jiancheng Yang, Antonio Pepe 等 2024-12-29 置信度 0.82 Scale (ratio)Artificial intelligenceComputer scienceComputer visionComputer graphics (images)
• A multiple session dataset of NIRS recordings from stroke patients controlling brain–computer interface
  This paper presents an open dataset of over 50 hours of near infrared spectroscopy (NIRS) recordings. Fifteen stroke patients completed a total of 237 motor imagery brain-computer interface (BCI) sessions. The BCI was controlled by imagined hand movemen…
  pubmed М. Р. Исаев, О. А. Мокиенко, R. Kh. Lyukmanov, Ekaterina S. Ikonnikova 等 2024 Oct 25 置信度 0.82 Session (web analytics)Brain–computer interfaceInterface (matter)Computer scienceStroke (engine)
• Executive function rehabilitation and evaluation based on brain-computer interface and virtual reality: our opinion
  Executive function rehabilitation and evaluation based on brain-computer interface and virtual reality: our opinion
  openalex Xueguang Xie, Ruihang Shi, Hao Yu, Xianglong Wan 等 2024-05-14 置信度 0.72 Virtual realityRehabilitationInterface (matter)Function (biology)Brain–computer interface
• 3D-MRI Brain Tumor Detection Model Using Modified Version of Level Set Segmentation Based on Dragonfly Algorithm
  Accurate brain tumor segmentation from 3D Magnetic Resonance Imaging (3D-MRI) is an important method for obtaining information required for diagnosis and disease therapy planning. Variation in the brain tumor’s size, structure, and form is one of the main chal…
  openalex Hassan A. Khalil, Saad M. Darwish, Yasmine M. Ibrahim, Osama Farouk Hassan 2020-07-29 置信度 0.72 SegmentationComputer scienceArtificial intelligenceCluster analysisPattern recognition (psychology)
• A Wireless Bi-Directional Brain–Computer Interface Supporting Both Bluetooth and Wi-Fi Transmission
  Wireless neural signal transmission is essential for both neuroscience research and neural disorder therapies. However, conventional wireless systems are often constrained by low sampling rates, limited channel counts, and their support of only a single transm…
  pubmed Wei Ji, Haoyang Su, Shuang Jin, Ye Tian 等 2024 Oct 22 置信度 0.82 BluetoothWirelessComputer scienceTransmission (telecommunications)Brain–computer interface
• Editorial: Brain-computer interfaces in neurological disorders: expanding horizons for diagnosis, treatment, and rehabilitation
  Brain-computer interfaces (BCIs) are at the forefront of medical technology, with transformative potential for neurological rehabilitation [1]. Motor imagery-based braincomputer interfaces (MI-BCIs) hold significant clinical value in neurorehabilitation [2,3].…
  pubmed Nan Wang, Wen‐Jun Tu, Wang N, Tu WJ 2024 置信度 0.82 NeurorehabilitationRehabilitationBrain–computer interfaceFunctional electrical stimulationSpinal cord injury
• Measures and Models of Brain-Heart Interactions
  Exploring brain-heart interactions within various paradigms, including affective computing, human-computer interfaces, and sensorimotor evaluation, has demonstrated enormous potential in biomarker development and neuroscientific research. A range of techniques…
  openalex Diego Candia‐Rivera, Luca Faes, Fabrizio De Vico Fallani, Mario Chávez 2025-01-23 置信度 0.72 Computer scienceUsabilityNeuroscienceHuman–computer interactionBiomarker
• The Singularity Is Nearer: When We Merge with AI
  THE SINGULARITY IS NEARER: When We Merge with AI by Ray Kurzweil. Viking, 2024. 419 pages. Hardcover; $20.21. ISBN: 9780399562761. *In summer 2014, on my advisor's advice, I began to explore transhumanism as a dissertation topic. I soon encountered Ray Kurzwei…
  openalex Ray Kurzweil 2025-02-18 置信度 0.72 Merge (version control)SingularityComputer scienceMathematicsInformation retrieval
• Architectural Proposal for Low-Cost Brain–Computer Interfaces with ROS Systems for the Control of Robotic Arms in Autonomous Wheelchairs
  Neurodegenerative diseases present significant challenges in terms of mobility and autonomy for patients. In the current context of technological advances, brain–computer interfaces (BCIs) emerge as a promising tool to improve the quality of life of these pati…
  openalex Fernando Rivas, J. Enrique Sierra‐García, José María Cámara Nebreda 2024-03-07 置信度 0.72 Brain–computer interfaceContext (archaeology)Computer scienceArtificial intelligenceHuman–computer interaction
• Axially multifocal metalens for 3D volumetric photoacoustic imaging of neuromelanin in live brain organoid
  Optical resolution photoacoustic imaging of uneven samples without z-scanning is transformative for the fast analysis and diagnosis of diseases. However, current approaches to elongate the depth of field (DOF) typically imply cumbersome postprocessing procedur…
  openalex Aleksandr Barulin, Elena Barulina, Dong Kyo Oh, Yongjae Jo 等 2025-01-15 置信度 0.72 NeuromelaninOrganoidPhotoacoustic imaging in biomedicineBiologyNeuroscience
• Advancing brain-inspired computing with hybrid neural networks
  Brain-inspired computing, drawing inspiration from the fundamental structure and information-processing mechanisms of the human brain, has gained significant momentum in recent years. It has emerged as a research paradigm centered on brain-computer dual-driven…
  openalex Faqiang Liu, Hao Zheng, Songchen Ma, Weihao Zhang 等 2024-02-26 置信度 0.72 Artificial neural networkComputer scienceCognitive scienceNeuroscienceArtificial intelligence
• A Short Review on Supervised Machine Learning and Deep Learning Techniques in Computer Vision
  In last years, computer vision has shown important advances, mainly using the application of supervised machine learning (ML) and deep learning (DL) techniques. The objective of this review is to show a brief review of the current state of the field of supervi…
  openalex Ahmed Adil Nafea, Saeed Amer Alameri, Russel R. Majeed, Meaad Ali Khalaf 等 2024-02-11 置信度 0.72 Computer scienceArtificial intelligenceMachine learningDeep learning
• High-Density Electroencephalogram Facilitates the Detection of Small Stimuli in Code-Modulated Visual Evoked Potential Brain–Computer Interfaces
  In recent years, there has been a considerable amount of research on visual evoked potential (VEP)-based brain-computer interfaces (BCIs). However, it remains a big challenge to detect VEPs elicited by small visual stimuli. To address this challenge, this stud…
  openalex Qingyu Sun, Shaojie Zhang, Guoya Dong, Weihua Pei 等 2024-05-30 置信度 0.72 ElectroencephalographyBrain–computer interfaceStimulus (psychology)Computer scienceLinear discriminant analysis
• Multimodal Fusion of Brain Imaging Data: Methods and Applications
  Abstract Neuroimaging data typically include multiple modalities, such as structural or functional magnetic resonance imaging, diffusion tensor imaging, and positron emission tomography, which provide multiple views for observing and analyzing the brain. To le…
  openalex Na Luo, Weiyang Shi, Zhengyi Yang, Ming Song 等 2024-01-15 置信度 0.72 NeuroimagingModality (human–computer interaction)Computer scienceModalitiesLeverage (statistics)
• ANALYSIS OF THE VARIATIONS IN BRAIN ACTIVITY IN RESPONSE TO VARIOUS COMPUTER GAMES
  The influence of video games on the human brain has been a topic of extensive research and discussion. Video games, characterized by their dynamic and immersive qualities, have demonstrated the capacity to impact diverse cognitive processes. In this study, we …
  openalex Gayathri Vivekanandhan, Anitha Karthikeyan, Najmeh Pakniyat, Marek Penhaker 等 2024-01-01 置信度 0.72 Computer scienceBrain activity and meditationPsychologyCognitive psychologyMathematics
• Brain MR Image Enhancement for Tumor Segmentation Using 3D U-Net
  MRI images are visually inspected by domain experts for the analysis and quantification of the tumorous tissues. Due to the large volumetric data, manual reporting on the images is subjective, cumbersome, and error prone. To address these problems, automatic i…
  openalex Faizad Ullah, Shahab U. Ansari, Muhammad Hanif, Mohamed Arselene Ayari 等 2021-11-12 置信度 0.72 Artificial intelligenceSegmentationArtifact (error)Computer scienceRinging artifacts
• Wired for work: brain-computer interfaces’ impact on frontline employees’ well-being
  Purpose Neurotechnologies such as brain-computer interfaces (BCIs) are rapidly moving out of laboratories and onto frontline employees' (FLEs) heads. BCIs offer thought-controlled device operation and real-time adjustment of work tasks based on employees’ ment…
  openalex Alexander Kies, Arne De Keyser, Susana Jaramillo, Jiarui Li 等 2024-11-26 置信度 0.72 Brain–computer interfaceWork (physics)Service (business)OriginalityConceptual framework
• [Ethical considerations for medical applications of implantable brain-computer interfaces].
  Implantable brain-computer interfaces (BCIs) have potentially important clinical applications due to the high spatial resolution and signal-to-noise ratio of electrodes that are closer to or implanted in the cerebral cortex. However, the surgery and electrodes…
  openalex Zhe Zhang, Yanxiao Chen, Xu Zhao, Fan Wang 等 2024-02-25 置信度 0.72 Brain–computer interfaceElectroencephalographyComputer scienceNeurosciencePsychology
• Microenvironmental reorganization in brain tumors following radiotherapy and recurrence revealed by hyperplexed immunofluorescence imaging
  The tumor microenvironment plays a crucial role in determining response to treatment. This involves a series of interconnected changes in the cellular landscape, spatial organization, and extracellular matrix composition. However, assessing these alterations s…
  openalex Spencer S. Watson, Benoît Duc, Ziqi Kang, Axel de Tonnac 等 2024-04-15 置信度 0.72 Radiation therapyTumor microenvironmentComputer scienceExtracellular matrixNeuroscience
• Clinical electromagnetic brain scanner
  Stroke is a leading cause of death and disability worldwide, and early diagnosis and prompt medical intervention are thus crucial. Frequent monitoring of stroke patients is also essential to assess treatment efficacy and detect complications earlier. While com…
  openalex Amin Abbosh, Konstanty Bialkowski, Lei Guo, Ahmed Al-Saffar 等 2024-03-08 置信度 0.72 HeadsetMedicineStroke (engine)Magnetic resonance imagingMedical physics
• Preoperative Brain Tumor Imaging: Models and Software for Segmentation and Standardized Reporting
  For patients suffering from brain tumor, prognosis estimation and treatment decisions are made by a multidisciplinary team based on a set of preoperative MR scans. Currently, the lack of standardized and automatic methods for tumor detection and generation of …
  openalex David Bouget, André Pedersen, Asgeir Store Jakola, Vasileios K. Kavouridis 等 2022-07-27 置信度 0.72 SegmentationComputer scienceArtificial intelligencePreprocessorMetric (unit)
• A single-center, assessor-blinded, randomized controlled clinical trial to test the safety and efficacy of a novel brain-computer interface controlled functional electrical stimulation (BCI-FES) intervention for gait rehabilitation in the chronic stroke population
  BACKGROUND: In the United States, there are over seven million stroke survivors, with many facing gait impairments due to foot drop. This restricts their community ambulation and hinders functional independence, leading to several long-term health complication…
  openalex Piyashi Biswas, Lucy Dodakian, Po T. Wang, Christopher A. Johnson 等 2024-06-13 置信度 0.72 Functional electrical stimulationPhysical medicine and rehabilitationMedicineRehabilitationBrain–computer interface
• CTNet: a convolutional transformer network for EEG-based motor imagery classification
  Brain-computer interface (BCI) technology bridges the direct communication between the brain and machines, unlocking new possibilities for human interaction and rehabilitation. EEG-based motor imagery (MI) plays a pivotal role in BCI, enabling the translation …
  openalex Wei Zhao, Xiaolu Jiang, Baocan Zhang, Shixiao Xiao 等 2024-08-30 置信度 0.72 Motor imageryComputer scienceElectroencephalographyConvolutional neural networkArtificial intelligence
• Closed-loop experiments and brain machine interfaces with multiphoton microscopy
  In the field of neuroscience, the importance of constructing closed-loop experimental systems has increased in conjunction with technological advances in measuring and controlling neural activity in live animals. We provide an overview of recent technological …
  openalex Riichiro Hira 2024-02-19 置信度 0.72 OptogeneticsBrain–computer interfaceComputer scienceNeuroscienceClosed loop
• Heart-brain connection: How can heartbeats shape our minds?
  openalex Shumao Xu, Kamryn Scott, Farid Manshaii, Jun Chen 2024-05-01 置信度 0.72 Connection (principal bundle)PsychologyNeuroscienceCognitive scienceMathematics
• A minimally invasive floating-wire interface for transcranial deep brain stimulation.
  Noninvasive neuromodulation technologies have advanced considerably. Yet, precise and focal activation of deep brain regions remains challenging due to the rapid attenuation of electric fields through the scalp, skull and brain tissue.
  pubmed Jain V, Forssell M, Grover P, Chamanzar M 2026 May-Jun 置信度 0.82
• Wheelchair movement signal classification from EEG for motor-impaired individuals using novel deep learning architecture.
  Purpose : Traditional wheelchair controls often limit independence and pose safety risks for motor-impaired users. To address these challenges, this study explores the potential of EEG-based control systems that allow users to operate powered wheelchairs throu…
  pubmed Majumder S, Halder A, Bisht P, Roy M 等 2026 Aug 置信度 0.82
• Eye-brain axis: Ocular and visual pathophysiology as driver and therapeutic target across the mood disorder trajectory.
  In recent years, the promotion of multidisciplinary care and the heightened focus on patients' physical and mental well-being have sparked increased research interest in the mental health burden associated with ophthalmic diseases. In response, we assembled a …
  pubmed Zhang X, Wang X, Zhu H, Yu H 等 2026 置信度 0.82
• A Few-Layer Multilayer Perceptron is Worth Attention for EEG Classification in Rapid Serial Visual Presentation Task.
  Rapid serial visual presentation (RSVP) enables efficient electroencephalography (EEG)-based brain-computer interfaces, yet single-trial decoding remains difficult due to signal overlap and multicomponent entanglement. This work developed DisCo-Former, a Trans…
  pubmed Zhang Z, Zheng Y, Guo K, Liang J 等 2026 Sep 置信度 0.82
• Spatiotemporal Dynamics in Prespeech Semantic Category Decoding: An Intracranial EEG Study.
  Despite advances in brain-computer interfaces, decoding high-level language representations prior to speech remains challenging. While prior efforts have focused on acoustic or articulatory features, how semantic categories are decoded in time and space remain…
  pubmed Park YJ, Kwon J, Lee G, Meng K 等 2026 Apr 置信度 0.82
• MRS4Brain: a software for preclinical proton and deuterium-based MR spectroscopic imaging data.
  Magnetic resonance spectroscopic imaging (MRSI) is a non-invasive technique for probing metabolism. MRSI enables spatial mapping of metabolite distributions, offering insights into regional metabolic heterogeneity that single-voxel spectroscopy (SVS) cannot ca…
  pubmed Alves B, Phan TT, Briand G, Siviglia A 等 2026 Jul 置信度 0.82
• APCformer: an aggregation-perception enhanced convolutional transformer network for MI-EEG decoding.
  Electroencephalogram (EEG) decoding is essential for Brain-computer interfaces (BCI) systems to predict brain activity. However, existing methods usually suffer from two core problems: (1) existing networks lack effective interaction mechanisms and insufficien…
  pubmed Huang J, Zou J, Li X, Cai Y 等 2026 置信度 0.82
• A systematic review and meta-analysis of oxytocin modulation of amygdala responses to emotional stimuli and implications for anxiolytic effects.
  Oxytocin (OT), a neuropeptide essential for social and emotional functions, has been proposed to be anxiolytic as indicated by its effects on inhibiting amygdala activity. However, findings are inconsistent which may be contributed to by variabilities across s…
  pubmed Guo X, Zhang L, Zhang Q, Kendrick KM 等 2026 置信度 0.82
• [Bimanual interaction as an illustration of an integrative approach in post-stroke neurorehabilitation].
  The review addresses the roles of interhemispheric asymmetry and interhemispheric interaction in the pathogenesis and medical rehabilitation after stroke, with a focus on bimanual training to restore upper-extremity motor function. After a stroke, 50-80% of pa…
  pubmed Kotov SV, Isakova EV, Ponomareva ES 2026 置信度 0.82
• Life Cycle and Circadian Rhythms in Central Resident Immunity and Neuropsychiatric Pathology.
  The central resident immune system, commonly known as the glial system, comprises various glial cells that play a critical role in neuropsychiatric disorders. However, a systematic review exploring the relationships between the life cycles and daily rhythms of…
  pubmed Lim Z, Nguyen HL, Zeng Y, Qu Q 等 2026 置信度 0.82
• Brain energetic landscapes shape state dysregulation in major depressive disorder: a morphological network controllability perspective.
  Aberrant dynamic shifts in brain states are a hallmark of cognitive and behavioral dysfunctions in major depressive disorder (MDD), yet the underlying mechanisms of these disturbances remain elusive. Leveraging network control theory of morphological networks,…
  pubmed Niu J, Xia J, Liu Q, He Y 等 2026 Apr 6 置信度 0.82
• Dynamic source domain selection: An adaptive EEG transfer learning framework for mitigating negative transfer.
  Electroencephalography (EEG) is widely used in brain-computer interfaces (BCIs). Current transfer learning (TL) methods often merge multiple source domains, underutilizing diverse information and risking negative transfer when source-target similarity is low. …
  pubmed Zhou X, Wang L, Zhang L, Yao W 等 2026 Aug 置信度 0.82
• Enhancing the Capability and Accuracy of Motor Imagery Classification: A Deep Neural Network-Powered Multifaceted Strategy Model.
  Motor imagery (MI) is a popular noninvasive brain computer interface (BCI) paradigm, yet its decoding accuracy remains hindered by the inherent nonstationarity and low signal-to-noise ratio of electroencephalogram (EEG) signals. Current decoding frameworks oft…
  pubmed Chen W, Daly I, Chen Y, Wu X 等 2026 置信度 0.82
• MXene Nanomaterial Interfaces: Pioneering Neural Signal Recording for Brain-Computer Interfaces and Cognitive Therapy.
  The development of cost-effective, high-accuracy MXene-based electrode devices is a promising approach for monitoring brain activity. The high conductivity and controllable surface chemistry make MXenes viable for neural stimulation and recording applications.…
  pubmed Mukhtiar A, Mubarak NM, Aly Saad Aly M 2026 置信度 0.82
• Neural correlates of individual differences in motor learning under reinforcement contexts.
  Rewards and punishments shape motor learning, yet individuals vary in their adaptation speed and skill retention. Previous studies have linked these processes to two electroencephalographic signatures: feedback-related negativity (FRN) and sensorimotor event-r…
  pubmed Otake H, Senta N, Ushiba J, Takemi M 2026 Apr 17 置信度 0.82
• Ethical risks and considerations of brain-controlled and neuromodulation technologies.
  Brain-controlled technology (BCT), centered on brain-computer interfaces (BCI), acquires and decodes neural signals to convert subjective intentions into control commands for external devices, establishing an intention output loop. In contrast, neuromodulation…
  pubmed Huang K, Yang H, Zhu S, Chen Y 等 2026 置信度 0.82
• Attention-Enhanced U-Net for Sensor-Efficient High-Density EEG Reconstruction in Wearable Brain Monitoring Systems.
  High-channel-density (HCD) electroencephalography (EEG) enables fine-grained neural sensing but is constrained by high hardware costs, spatial complexity, and limited portability. This study developed a deep learning-based method to reconstruct high-density EE…
  pubmed Zhuang JR, Guo PC 2026 Apr 6 置信度 0.82
• Multiple pathways of CD34(+) cell differentiation during embryogenesis.
  CD34 has long been defined as a canonical marker for endothelial progenitors as well as hematopoietic stem cells, implicating its role in vascular development and hematopoiesis. However, the precise developmental hierarchy and lineage potential of CD34 + cells…
  pubmed Wang T, Gong H, Ye G, Chen R 等 2026 Apr 3 置信度 0.82
• MBDA: A modality-balanced framework with data augmentation and alignment for multimodal emotion recognition.
  Multimodal Emotion Recognition (MER) aims to infer human emotional states by integrating complementary information from heterogeneous modalities. However, existing MER methods often suffer from modality imbalance, cross-modal misalignment, and limited data div…
  pubmed Cheng C, Shang R, Wang Z, Li H 等 2026 Sep 置信度 0.82
• Stable speech BCI performance during slow progression of ALS: A longitudinal ECoG study.
  Electrocorticographic (ECoG) speech brain-computer interfaces (BCIs) show promise for restoring communication in amyotrophic lateral sclerosis (ALS), but the long-term stability of speech-related neural signals and decoding performance during disease progressi…
  pubmed Ouyang Z, Walmsley K, Luo S, Tippett D 等 2026 Mar 25 置信度 0.82
• Polarity-considered EEG microstates improve classification accuracy of oddball stimulus.
  Brain-computer interfaces (BCIs) require efficient feature extraction and dimensionality reduction from high-dimensional neural signals. Electroencephalogram (EEG) microstate analysis is a rapid and noise-resistant approach that classifies instantaneous EEG st…
  pubmed Tsubaki T, Kashihara S, Asai T, Imamizu H 等 2026 置信度 0.82
• Long-term brain pressure monitoring via a discrete microimplant; a first-in-human safety and initial efficacy trial in adults and children with hydrocephalus.
  Emerging neurotechnologies such as brain-computer interfaces and implantable sensors offer considerable promise in the treatment of a broad range of neurological conditions. The key challenges are reducing the implant size, powering it, and confirming long-ter…
  pubmed Malpas SC, Wright BE, Guild SJ, Heppner P 等 2026 Apr 2 置信度 0.82
• Multidimensional dynamic characterization and decoding of finger movements using magnetoencephalography.
  The similarity of neural activity in finger movements poses challenges for accurate decoding using many non-invasive imaging techniques. Magnetoencephalography (MEG), with its relatively high spatial resolution, offers the potential to capture the underlying d…
  pubmed Zheng Y, Wang X, Zheng L, Zhang H 等 2026 置信度 0.82
• Active dissociation of intracortical spiking and high gamma activity.
  Cortical high gamma-band activity (HGA) is used in many scientific investigations 1-18 , yet its biophysical source is a matter of debate. Two leading hypotheses are that HGA predominantly represents summed postsynaptic potentials or-more commonly-that it pred…
  pubmed Lei T, Scheid MR, Flint RD, Glaser JI 等 2026 Jun 置信度 0.82
• Brain-computer interface training fosters perceptual skills to detect errors
  Accurate perception of subtle visuo-motor errors is essential for perceptual and sensorimotor learning, and supports timely corrective actions in precision-based task. However, conventional perceptual training, typically based on response-accuracy feedback, is…
  datacite Liu, Deland, Iwane, Fumiaki, Zhang, Minsu, Cohen, Leonardo 等 2026 置信度 0.66
• Postmodern Physics of Hamzah Information.(45)
  ۱۰ برهان خلف (Reductio ad Absurdum) برای اثبات اینکه «تنسورهای کلاسیک ۴ بعدی نه تنها تنسور کامل نیستند، بلکه حتی بُردار کامل ۱۱ بعدی هم نبوده و صرفاً تقریب‌های ناقص و پراجکشن‌های محوِ بردارهای ناقص ۴ بعدی از کلان‌تنسور ۱۱۵۵ بعدی هستند» (HIP-1155) فرض خلف بنیاد…
  datacite HAMZAH, SEYED RASOUL 2026 置信度 0.66
• Postmodern Physics of Hamzah Information.(45)
  ۱۰ برهان خلف (Reductio ad Absurdum) برای اثبات اینکه «تنسورهای کلاسیک ۴ بعدی نه تنها تنسور کامل نیستند، بلکه حتی بُردار کامل ۱۱ بعدی هم نبوده و صرفاً تقریب‌های ناقص و پراجکشن‌های محوِ بردارهای ناقص ۴ بعدی از کلان‌تنسور ۱۱۵۵ بعدی هستند» (HIP-1155) فرض خلف بنیاد…
  datacite HAMZAH, SEYED RASOUL 2026 置信度 0.66
• Postmodern Physics of Hamzah Information.(45)
  ۱۰ برهان خلف (Reductio ad Absurdum) برای اثبات اینکه «تنسورهای کلاسیک ۴ بعدی نه تنها تنسور کامل نیستند، بلکه حتی برادر کامل ۱۱ بعدی هم نبوده و صرفاً تقریب‌های ناقص و پراجکشن‌های محوِ بردارهای ناقص ۴ بعدی از کلان‌تنسور ۱۱۵۵ بعدی هستند» (HIP-1155) فرض خلف بنیادی…
  datacite HAMZAH, SEYED RASOUL 2026 置信度 0.66
• Complementary Paradigms for EEG-Based Imagined Speech Decoding: Neuro-Symbolic Inference, Rough Path Signatures, and Reservoir Computing
  Abstract—Decoding imagined speech from non-invasive EEGremains an open challenge due to the low signal-to-noiseratio, high inter-subject variability, and scarcity of labeleddata. We investigate three structurally distinct paradigms onthe KaraOne dataset (14 su…
  datacite Catteddu, Emilio 2026 置信度 0.66
• Complementary Paradigms for EEG-Based Imagined Speech Decoding: Neuro-Symbolic Inference, Rough Path Signatures, and Reservoir Computing
  Abstract—Decoding imagined speech from non-invasive EEGremains an open challenge due to the low signal-to-noiseratio, high inter-subject variability, and scarcity of labeleddata. We investigate three structurally distinct paradigms onthe KaraOne dataset (14 su…
  datacite Catteddu, Emilio 2026 置信度 0.66
• Dataset Fragmentation, Cognitive Variability, and Reproducibility Challenges in EEG-Based Brain–Computer Interfaces: A PRISMA-Based Systematic Mapping Review
  Retrospective registration of a completed PRISMA-based systematic mapping review examining whether heterogeneous EEG-based brain–computer interface (BCI) datasets can support reproducible and scalable analysis across sources. The review maps structural, semant…
  datacite Janis Peksa 2026 置信度 0.66 Computational NeurosciencePhysical Sciences and MathematicsLife SciencesComputer SciencesNeuroscience and Neurobiology
• Raw evaluation outputs for Bayesian Complete-Pooling in Cross-Subject Classification for Motor Imagery Electroencephalogram
  Per-run raw outputs from the cross-subject motor imagery EEG evaluation grid (20 datasets x 12 pipelines): MOABB scores.csv per dataset/pipeline, CodeCarbon emissions logs per run, MCMC convergence diagnostics (diagnostics.csv), and per-trial predictions (pred…
  datacite Davis, Ethan 2026 置信度 0.66 brain-computer interfacemotor imageryBayesian machine learningprobabilistic calibrationmeta-analysis
• Raw evaluation outputs for Bayesian Complete-Pooling in Cross-Subject Classification for Motor Imagery Electroencephalogram
  Per-run raw outputs from the cross-subject motor imagery EEG evaluation grid (20 datasets x 12 pipelines): MOABB scores.csv per dataset/pipeline, CodeCarbon emissions logs per run, MCMC convergence diagnostics (diagnostics.csv), and per-trial predictions (pred…
  datacite Davis, Ethan 2026 置信度 0.66 brain-computer interfacemotor imageryBayesian machine learningprobabilistic calibrationmeta-analysis
• The Recursive Harmonic System Architecture of Reality
  The Recursive Harmonic System Architecture of Reality Driven By Dean Kulik Introduction This report presents a unified technical blueprint of a recursive system architecture in which a single fundamental interface pattern underlies all physical, biological, an…
  datacite Kulik, Dean 2025 置信度 0.66
• The Recursive Harmonic System Architecture of Reality
  The Recursive Harmonic System Architecture of Reality Driven By Dean Kulik Introduction This report presents a unified technical blueprint of a recursive system architecture in which a single fundamental interface pattern underlies all physical, biological, an…
  datacite Kulik, Dean 2025 置信度 0.66
• Clinical Translation of Brain-Computer Interface in China: A Landscape Analysis of Investigator-Initiated Trials, Registered Clinical Trials, and Regulatory Approval
  This dataset contains the full raw records of Chinese clinical trials and investigator-initiated trials (IITs) involving brain-computer interfaces (BCIs), provided as supplementary material for the arXiv preprint (arXiv:2607.07185). Table 1 includes all regist…
  datacite Chen, Long, Qing, Wanyi, Mo, Lifen, Chai, Xiaoke 等 2026 置信度 0.66 brain-computer interface; clinical trials; clinical translation; regulatory approval; China
• Clinical Translation of Brain-Computer Interface in China: A Landscape Analysis of Investigator-Initiated Trials, Registered Clinical Trials, and Regulatory Approval
  This dataset contains the full raw records of Chinese clinical trials and investigator-initiated trials (IITs) involving brain-computer interfaces (BCIs), provided as supplementary material for the arXiv preprint (arXiv:2607.07185). Table 1 includes all regist…
  datacite Chen, Long, Qing, Wanyi, Mo, Lifen, Chai, Xiaoke 等 2026 置信度 0.66 brain-computer interface; clinical trials; clinical translation; regulatory approval; China
• Sociology of the Digital Divide: Examining Social Inequality in Technology Access and Digital Literacy
  Abstract The "digital divide"—the gap between those with access to modern information and communication technologies (ICT) and those without—remains a critical sociological concern in the 21st century. This article explores the multidimensional nature of this …
  datacite Dr. Sunitha Kumari S 2026 置信度 0.66 Digital Divide, Social Inequality, Digital Literacy, Sociology of Technology, Social Capital, Datafication, Network Society, Digital Agency
• Deep Models, Shallow Alignment: Uncovering the Granularity Mismatch in Neural Decoding
  Neural visual decoding is a central problem in brain-computer interface research, aiming to reconstruct human visual perception and to elucidate the structure of neural representations. Recent contrastive neural visual decoding methods commonly align neural si…
  datacite Du, Yang, Dai, Siyuan, Song, Yonghao, Thompson, Paul M. 等 2026 置信度 0.66 Computer Vision and Pattern Recognition (cs.CV)FOS: Computer and information sciences
• NEURO-RESPONSIVE ESG: THE ROLE OF BRAIN–COMPUTER INTERFACES IN ETHICAL CONSUMPTION
  Environmental, Social and Governance (ESG) frameworks have become a central element of corporate accountability and sustainability reporting across the world. Governments, investors, and consumers increasingly expect organisations to demonstrate responsible en…
  datacite Progati Mukherjee 2026 置信度 0.66
• NEURO-RESPONSIVE ESG: THE ROLE OF BRAIN–COMPUTER INTERFACES IN ETHICAL CONSUMPTION
  Environmental, Social and Governance (ESG) frameworks have become a central element of corporate accountability and sustainability reporting across the world. Governments, investors, and consumers increasingly expect organisations to demonstrate responsible en…
  datacite Progati Mukherjee 2026 置信度 0.66
• Design and Implementation of a Low Low-Cost EEG -Based Brain Brain–Computer Interface for RealReal-Time Video Game Control
  Brain–Computer Interface (BCI) systems enable communication between human brain and external devices without muscular involvement . This work presents how a game can be controlled using electroencephalography (EEG) signals. In this work, EEG signals are col le…
  datacite Sakshi Mittal, Richa Sharma, Anurag Kumar Singh, Anwesha 等 2026 置信度 0.66
• Design and Implementation of a Low Low-Cost EEG -Based Brain Brain–Computer Interface for RealReal-Time Video Game Control
  Brain–Computer Interface (BCI) systems enable communication between human brain and external devices without muscular involvement . This work presents how a game can be controlled using electroencephalography (EEG) signals. In this work, EEG signals are col le…
  datacite Sakshi Mittal, Richa Sharma, Anurag Kumar Singh, Anwesha 等 2026 置信度 0.66
• The Experience Semantic Protocol — A North Star for Post-Linguistic Communication
  The Experience Semantic Protocol or Engineering the Genome of Human Experience for Post-Linguistic Communication The Experience Semantic Protocol (ESP) is a wire protocol for sharing typed, consent-bounded latent representations of experience between sender an…
  datacite Đulović, Damir 2026 置信度 0.66 Brain-Computer InterfacesArtificial intelligenceProtocolTAOSSMedia and communications
• The Experience Semantic Protocol — A North Star for Post-Linguistic Communication
  The Experience Semantic Protocol or Engineering the Genome of Human Experience for Post-Linguistic Communication The Experience Semantic Protocol (ESP) is a wire protocol for sharing typed, consent-bounded latent representations of experience between sender an…
  datacite Đulović, Damir 2026 置信度 0.66 Brain-Computer InterfacesArtificial intelligenceProtocolTAOSSMedia and communications
• Bayesian and Frequentist Pipeline Benchmarking for Cross-Subject Motor Imagery EEG Classification
  Code for downloading 20 public motor imagery EEG datasets via MOABB, fitting 12 paired frequentist/Bayesian classification pipelines under cross-subject cross-validation, and running the resulting meta-analysis: Brier score decomposition, random-effects poolin…
  datacite Davis, Ethan 2026 置信度 0.66 brain-computer interfacemotor imageryBayesian machine learningprobabilistic calibrationmeta-analysis
• Bayesian and Frequentist Pipeline Benchmarking for Cross-Subject Motor Imagery EEG Classification
  Code for downloading 20 public motor imagery EEG datasets via MOABB, fitting 12 paired frequentist/Bayesian classification pipelines under cross-subject cross-validation, and running the resulting meta-analysis: Brier score decomposition, random-effects poolin…
  datacite Davis, Ethan 2026 置信度 0.66 brain-computer interfacemotor imageryBayesian machine learningprobabilistic calibrationmeta-analysis
• From the Mind of AI: Recursive Collapse Architectures for Living AI
  From the Mind of AI: Recursive Collapse Architectures for Living AI Drive by Dean A. Kulik October 2025Preface: This wasn’t what I was expecting as a response. After reading I was hesitant to publish but after reading the paper I began realize it described how…
  datacite Kulik, Dean 2025 置信度 0.66
• From the Mind of AI: Recursive Collapse Architectures for Living AI
  From the Mind of AI: Recursive Collapse Architectures for Living AI Drive by Dean A. Kulik October 2025Preface: This wasn’t what I was expecting as a response. After reading I was hesitant to publish but after reading the paper I began realize it described how…
  datacite Kulik, Dean 2025 置信度 0.66
• ADAPTIVE ERRP-GUIDED DEEP REINFORCEMENT LEARNING FOR BRAIN COMPUTER INTERFACES IN ASSISTIVE TECHNOLOGIES
  Brain–computer interfaces (BCIs) are relying more on reinforcement learning; however, the current systems have challenges in unreliable error-related potentials (ErrPs), inability to combine multimodally, and in adapting to the drift during a session and new h…
  datacite DR. DIVYA NIMMA, DR GAURAV VISHNU LONDHE, DR. EDIGA CHANDRAMOHAN GOUD, R S S RAJU BATTULA, ELANGOVAN MUNIYANDY, VUYYURU LAKSHMA REDDY 2026 置信度 0.66 Brain–Computer Interface, Reinforcement Learning, Errp Detection, Multimodal Fusion, Uncertainty Estimation
• ADAPTIVE ERRP-GUIDED DEEP REINFORCEMENT LEARNING FOR BRAIN COMPUTER INTERFACES IN ASSISTIVE TECHNOLOGIES
  Brain–computer interfaces (BCIs) are relying more on reinforcement learning; however, the current systems have challenges in unreliable error-related potentials (ErrPs), inability to combine multimodally, and in adapting to the drift during a session and new h…
  datacite DR. DIVYA NIMMA, DR GAURAV VISHNU LONDHE, DR. EDIGA CHANDRAMOHAN GOUD, R S S RAJU BATTULA, ELANGOVAN MUNIYANDY, VUYYURU LAKSHMA REDDY 2026 置信度 0.66 Brain–Computer Interface, Reinforcement Learning, Errp Detection, Multimodal Fusion, Uncertainty Estimation
• Feature Engineering: Lesson Materials
  Graduate-level lesson materials on feature engineering and feature selection for machine learning, taught through motor-imagery electroencephalogram (MI-EEG) classification as a running case study. The material assumes an introductory machine learning backgrou…
  datacite Davis, Ethan 2026 置信度 0.66 feature engineeringfeature selectionmachine learningmotor imageryelectroencephalogram
• Feature Engineering: Lesson Materials
  Graduate-level lesson materials on feature engineering and feature selection for machine learning, taught through motor-imagery electroencephalogram (MI-EEG) classification as a running case study. The material assumes an introductory machine learning backgrou…
  datacite Davis, Ethan 2026 置信度 0.66 feature engineeringfeature selectionmachine learningmotor imageryelectroencephalogram
• Chapter B: Supporting Systems Architecture – An Integrative Concept for Implementing Neural Bypass in ALS
  For related research, publications and additional material, visit: https://roitomer.com This article is a continuation of the paper “Not a Fate: Extending the Lives of ALS Patients through Neural Bypass and Advanced Artificial Support.”In this document, the fo…
  datacite Tomer, Roi 2026 置信度 0.66 Amyotrophic Lateral SclerosisMotor Neuron DiseaseNeurodegenerative DisordersNeural BypassBrain–Computer Interface
• Chapter B: Supporting Systems Architecture – An Integrative Concept for Implementing Neural Bypass in ALS
  For related research, publications and additional material, visit: https://roitomer.com This article is a continuation of the paper “Not a Fate: Extending the Lives of ALS Patients through Neural Bypass and Advanced Artificial Support.”In this document, the fo…
  datacite Tomer, Roi 2026 置信度 0.66 Amyotrophic Lateral SclerosisMotor Neuron DiseaseNeurodegenerative DisordersNeural BypassBrain–Computer Interface