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• The Impact of Adult Vitamin D Deficiency on Behaviour and Brain Function in Male Sprague-Dawley Rats
  BACKGROUND: Vitamin D deficiency is common in the adult population, and this has been linked to depression and cognitive outcomes in clinical populations. The aim of this study was to investigate the effects of adult vitamin D (AVD) deficiency on behavioural t…
  openalex Jacqueline Byrne, Meggie Voogt, Karly M. Turner, Darryl W. Eyles 等 2013-08-09 置信度 0.72 Prefrontal cortexPopulationSerial reaction timeElevated plus mazeMedicine
• iFogSim: A toolkit for modeling and simulation of resource management techniques in the Internet of Things, Edge and Fog computing environments
  Summary Internet of Things (IoT) aims to bring every object (eg, smart cameras, wearable, environmental sensors, home appliances, and vehicles) online, hence generating massive volume of data that can overwhelm storage systems and data analytics applications. …
  openalex Harshit Gupta, Amir Vahid Dastjerdi, Soumya K. Ghosh, Rajkumar Buyya 2017-06-21 置信度 0.72 Computer scienceCloud computingScalabilityAnalyticsEdge computing
• Advances in clinical brain–computer interfaces for assistive substitution and rehabilitation: A rapid scoping review
  Abstract Objective This scoping review explores the rapidly evolving field of brain–computer interface (BCI) technologies, with a particular emphasis on the fundamental concepts, advances made, and prospective applications. Following the 2022 Annual Scientific…
  openalex Tsi Lok Ho, William Xue, Michael Ka‐Wing See, David Chan 等 2025-02-01 置信度 0.72 MedicineRehabilitationSubstitution (logic)Brain–computer interfacePhysical medicine and rehabilitation
• Emerging Optoelectronic Devices for Brain‐Inspired Computing
  Abstract Brain‐inspired neuromorphic computing is recognized as a promising technology for implementing human intelligence in hardware. Neuromorphic devices, including artificial synapses and neurons, are regarded as essential components for the construction o…
  openalex Lingxiang Hu, Xia Zhuge, Jingrui Wang, Xianhua Wei 等 2024-09-09 置信度 0.72 Materials scienceNanotechnologyOptoelectronics
• A Deep-Learning Empowered, Real-Time Processing Platform of fNIRS/DOT for Brain Computer Interfaces and Neurofeedback
  Brain-Computer Interfaces (BCI) and Neurofeedback (NFB) approaches, which both rely on real-time monitoring of brain activity, are increasingly being applied in rehabilitation, assistive technology, neurological diseases and behavioral disorders. Functional ne…
  openalex Yunjia Xia, Jianan Chen, Jinchen Li, Tingchen Gong 等 2025-01-01 置信度 0.72 NeurofeedbackBrain–computer interfaceComputer scienceHuman–computer interactionDeep learning
• A Synergy of Convolutional Neural Networks for Sensor-Based EEG Brain–Computer Interfaces to Enhance Motor Imagery Classification
  Enhancing motor disability assessment and its imagery classification is a significant concern in contemporary medical practice, necessitating reliable solutions to improve patient outcomes. One promising avenue is the use of brain-computer interfaces (BCIs), w…
  openalex Souheyl Mallat, Emna Hkiri, Abdullah M. Albarrak, Borhen Louhichi 2025-01-13 置信度 0.72 Brain–computer interfaceMotor imageryNeurorehabilitationConvolutional neural networkComputer science
• Bioinspired Heat‐Induced Viscoelasticity‐Switchable Electrodes for Conformal Brain‐Computer Interfaces
  Electroencephalography is a promising noninvasive modality for brain-computer interfaces (BCIs), yet its widespread adoption is constrained by electrode limitations: dry electrodes yield unstable signals, whereas wet electrodes require laborious setup and are …
  pubmed Zheren Cai, Shangen Zhang, Jianwu Wang, Yifei Luo 等 2025-12-28 置信度 0.82 Materials scienceElectrodeWearable computerNanotechnologyWearable technology
• Effects of Tangerine Essential Oil on Brain Waves, Moods, and Sleep Onset Latency
  ) is one of the most important crops of Thailand with a total harvest that exceeds 100,000 tons. Citrus essential oils are widely used as aromatherapy and medicinal agents. The effect of tangerine essential oil on human brain waves and sleep activity has not b…
  openalex Supaya Chandharakool, Phanit Koomhin, Jennarong Sinlapasorn, Sarunnat Suanjan 等 2020-10-21 置信度 0.72 ChemistrySedativeElectroencephalographyLatency (audio)Essential oil
• Comprehensive study of driver behavior monitoring systems using computer vision and machine learning techniques
  Abstract The flourishing realm of advanced driver-assistance systems (ADAS) as well as autonomous vehicles (AVs) presents exceptional opportunities to enhance safe driving. An essential aspect of this transformation involves monitoring driver behavior through …
  openalex Fangming Qu, Nolan Dang, Borko Furht, Mehrdad Nojoumian 2024-02-22 置信度 0.72 Computer scienceComputational Science and EngineeringHuman–computer interactionArtificial intelligenceMachine learning
• Reconnecting Brain Networks After Stroke: A Scoping Review of Conventional, Neuromodulatory, and Feedback-Driven Rehabilitation Approaches
  BACKGROUND: Stroke leads to lasting disability by disrupting the connectivity of functional brain networks. Although several rehabilitation methods are promising, our full understanding of how these strategies restore network function is still limited. Here, w…
  pubmed Jan A. Kuipers, Norman Hoffman, Frederick Robert Carrick, Monèm Jemni 等 2025 Nov 12 置信度 0.82 RehabilitationPhysical medicine and rehabilitationPsychologyCognitionPsychological intervention
• The 2025 motile active matter roadmap
  Activity and autonomous motion are fundamental aspects of many living and engineering systems. Here, the scale of biological agents covers a wide range, from nanomotors, cytoskeleton, and cells, to insects, fish, birds, and people. Inspired by biological activ…
  openalex Gerhard Gompper, Howard A. Stone, Christina Kurzthaler, David Saintillan 等 2025-01-21 置信度 0.72 Active matterNanotechnologyLiving systemsBiomimeticsBiochemical engineering
• Public Perception of the Brain-Computer Interface Based on a Decade of Data on X: Mixed Methods Study
  BACKGROUND: Given the recent evolution and achievements in Brain-Computer interface (BCI) technologies, understanding public perception and sentiments towards such novel technologies is important for guiding their communication strategies in marketing and educ…
  europepmc Mohammed A. Almanna, Lior M. Elkaim, Mohammed Ali Alvi, Jordan J. Levett 等 2025 置信度 0.80 PreprintPerceptionInterface (matter)Cognitive scienceHuman–computer interaction
• A review of hybrid EEG-based multimodal human–computer interfaces using deep learning: applications, advances, and challenges
  openalex Hyung-Tak Lee, Miseon Shim, Xianghong Liu, Hye-Ran Cheon 等 2025-03-22 置信度 0.72 Brain–computer interfaceElectroencephalographyComputer scienceArtificial intelligenceDeep learning
• Identifying P300 brain-computer interface training strategies for AAC in children: a focus group study
  The integration of Brain-Computer Interface (BCI) technology into Augmentative and Alternative Communication (AAC) systems introduces new complexities in training, particularly for children with diverse cognitive, sensory, motor, and linguistic abilities. Effe…
  openalex Kevin M. Pitt, Jamie B. Boster 2025-04-27 置信度 0.72 Brain–computer interfaceAugmentative and alternative communicationInterface (matter)Focus (optics)Computer science
• Advancing Brain Tumor Analysis: Current Trends, Key Challenges, and Perspectives in Deep Learning-Based Brain MRI Tumor Diagnosis
  Brain tumors pose a significant challenge in medical research due to their associated morbidity and mortality. Magnetic Resonance Imaging (MRI) is the premier imaging technique for analyzing these tumors without invasive procedures. Recent years have witnessed…
  openalex Namya Musthafa, Qurban A. Memon, Mohammad Mehedy Masud 2025-04-22 置信度 0.72 Brain tumorKey (lock)Deep learningNeuroscienceMedicine
• Electroencephalogram Dataset of Visually Imagined Arabic Alphabet for Brain–Computer Interface Design and Evaluation
  Visual imagery (VI) is a mental process in which an individual generates and sustains a mental image of an object without physically seeing it. Recent advancements in assistive technology have enabled the utilization of VI mental tasks as a control paradigm to…
  openalex Rami Alazrai, Khalid Naqi, Alaa Elkouni, Amr Hamza 等 2025-05-22 置信度 0.72 AlphabetBrain–computer interfaceArabicInterface (matter)Computer science
• China AI-Brain Research: Brain-Inspired AI, Connectomics, Brain-Computer Interfaces
  Since 2016, China has engaged in a nationwide effort to "merge" AI and neuroscience research as a major part of its next-generation AI development program. This report explores China’s AI-brain program — identifying key players and organizations and recommendi…
  openalex William C. Hannas, Huey-Meei Chang, Catherine Aiken, Daniel Chou 等 2020-09-01 置信度 0.72 ConnectomicsMerge (version control)Brain researchChinaComputer science
• Molecular simulation aspects of amyloid peptides at membrane interface
  openalex Yonglan Liu, Baiping Ren, Yanxian Zhang, Yan Sun 等 2018-02-06 置信度 0.72 MembraneAmyloid (mycology)CellPeptideCell membrane
• Streamlining cVEP Paradigms: Effects of a Minimized Electrode Montage on Brain–Computer Interface Performance
  (1) Background: Brain-computer interfaces (BCIs) enable direct communication between the brain and external devices using electroencephalography (EEG) signals, offering potential applications in assistive technology and neurorehabilitation. Code-modulated visu…
  openalex Milán András Fodor, Atilla Cantürk, Gernot Heisenberg, Ivan Volosyak 2025-05-23 置信度 0.72 Brain–computer interfaceInterface (matter)ElectrodeComputer scienceHuman–computer interaction
• Brain computer interface based emotion recognition with error analysis and challenges: an interdisciplinary review
  Emotion recognition is defined as identifying a person’s emotional condition through information such as facial expressions and behavior. Modern advances in brain–computer interfaces (BCIs) have shown that they are effective in converting electrical signals fr…
  openalex Niharika Gudikandula, Ravichander Janapati, Rakesh Sengupta, Sridhar Chintala 2025-07-31 置信度 0.72 Interface (matter)Brain–computer interfaceComputer scienceHuman–computer interactionCognitive science
• Non-Invasive Brain-Computer Interfaces: Converging Frontiers in Neural Signal Decoding and Flexible Bioelectronics Integration
  The development of non-invasive brain-computer interfaces (BCIs) relies on multidisciplinary integration across neuroscience, artificial intelligence, flexible electronics, and systems engineering. Recent advances in deep learning have significantly improved t…
  pubmed Sheng Wang, Xiaobin Song, Xiaopan Song, Zhuangzhuang Cong 等 2026 Jan 12 置信度 0.82 Robustness (evolution)Computer scienceBioelectronicsScalabilityKey (lock)
• Advancing Fractal Dimension Techniques to Enhance Motor Imagery Tasks Using EEG for Brain–Computer Interface Applications
  The ongoing exploration of brain–computer interfaces (BCIs) provides deeper insights into the workings of the human brain. Motor imagery (MI) tasks, such as imagining movements of the tongue, left and right hands, or feet, can be identified through the analysi…
  openalex A. Mohamed, Vacius Jusas 2025-05-27 置信度 0.72 Brain–computer interfaceMotor imageryElectroencephalographyComputer scienceFractal dimension
• An Overview of a Decade of Journal Publications about Culture and Human-Computer Interaction (HCI)
  openalex Torkil Clemmensen, Kerstin Roese 2010-01-01 置信度 0.72 Computer scienceHuman–computer interactionEngineering ethicsEngineering
• Monolayer, open-mesh, pristine PEDOT:PSS-based conformal brain implants for fully MRI-compatible neural interfaces
  Understanding brain function is essential for advancing our comprehension of human cognition, behavior, and neurological disorders. Magnetic resonance imaging (MRI) stands out as a powerful tool for exploring brain function, providing detailed insights into it…
  openalex Jung-Hoon Hong, Ju Young Lee, Ankan Dutta, Sol lip Yoon 等 2024-05-28 置信度 0.72 PEDOT:PSSMonolayerConformal mapMaterials scienceBiomedical engineering
• Advances in Brain–Computer Interfaces (BCI): Challenges and Opportunities
  It appears that the frontier of neural engineering is rapidly advancing towards seamless integration between biological neural networks and digital systems [...].
  openalex Yuchun Wang, Minyan Ge, Shumao Xu 2026-02-22 置信度 0.72 Computer scienceArtificial neural networkSystems engineeringEngineeringFrontier
• A novel channel reduction concept to enhance the classification of motor imagery tasks in brain-computer interface systems
  Electroencephalogram (EEG) signals play a critical role in advancing brain-computer interface (BCI) systems, particularly for detecting motor imagery (MI) movements. However, analysing large volume of EEG datasets faces some challenges due to redundant informa…
  pubmed Taslima Khanam, Siuly Siuly, Kabir Ahmad, Hua Wang 等 2025 置信度 0.82 Brain–computer interfaceComputer scienceMotor imageryArtificial intelligenceChannel (broadcasting)
• Critical Challenges of Intravenous Nanomaterials Crossing the Blood‐Brain Barrier: from Blood to Brain
  Abstract Despite recent advancements in the development of blood‐brain barrier (BBB)‐crossing nanomaterials for intravenous administration, there have been very few successful cases in clinical trials. Ongoing challenges within the body impede the precise ther…
  openalex Weikang Luo, Cong Chen, Xin Guo, Xiaohang Guo 等 2024-12-17 置信度 0.72 Blood–brain barrierMaterials scienceBrain traumaNanomaterialsNanotechnology
• Associative brain-computer interface training increases wrist extensor corticospinal excitability in patients with subacute stroke
  In a recently developed associative rehabilitative brain-computer interface (BCI) system, electroencephalography (EEG) is used to identify the most active phase of the motor cortex during attempted movement and deliver precisely timed peripheral stimulation du…
  pubmed Benjamin Svejgaard, Boris Modrau, José Jesús Hernández-Gloria, Carina Lykke Wested 等 2024-12-20 置信度 0.82 Physical medicine and rehabilitationWristBrain–computer interfaceNeuroscienceStroke (engine)
• Metaverse beyond the hype: Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy
  The metaverse has the potential to extend the physical world using augmented and virtual reality technologies allowing users to seamlessly interact within real and simulated environments using avatars and holograms. Virtual environments and immersive games (su…
  openalex Yogesh K. Dwivedi, Laurie Hughes, Abdullah M. Baabdullah, Samuel Ribeiro‐Navarrete 等 2022-07-15 置信度 0.72 MetaverseTransformative learningAvatarSociologyPerspective (graphical)
• Brain augmentation and neuroscience technologies: current applications, challenges, ethics and future prospects
  Ever since the dawn of antiquity, people have strived to improve their cognitive abilities. From the advent of the wheel to the development of artificial intelligence, technology has had a profound leverage on civilization. Cognitive enhancement or augmentatio…
  openalex Nitish Singh Jangwan, Ghulam Md Ashraf, Veerma Ram, Vinod Singh 等 2022-09-23 置信度 0.72 NeuroethicsCognitionCognitive neuroscienceLeverage (statistics)Neurolaw
• A Novel Transfer Learning‐Based Hybrid EEG‐fNIRS Brain‐Computer Interface for Intracerebral Hemorrhage Rehabilitation
  Motor imagery (MI)-based neurorehabilitation shows promise for intracerebral hemorrhage (ICH) recovery, yet conventional unimodal brain-computer interfaces (BCIs) face critical limitations in cross-subject generalization. This study presents a multimodal elect…
  openalex Danyang Chen, Jian Shi, Bo Tao, Xingwei Zhao 等 2025-08-19 置信度 0.72 Brain–computer interfaceElectroencephalographyGeneralizability theoryComputer scienceArtificial intelligence
• A Novel Deep Learning Model for Motor Imagery Classification in Brain–Computer Interfaces
  Recent advancements in decoding electroencephalogram (EEG) signals for motor imagery tasks have shown significant potential. However, the intricate time–frequency dynamics and inter-channel redundancy of EEG signals remain key challenges, often limiting the ef…
  openalex Wenhui Chen, Shunwu Xu, Qingqing Hu, Yiran Peng 等 2025-07-07 置信度 0.72 Motor imageryBrain–computer interfaceComputer scienceArtificial intelligenceDeep learning
• Computational Modeling of Pharmaceuticals with an Emphasis on Crossing the Blood–Brain Barrier
  The discovery and development of new pharmaceutical drugs is a costly, time-consuming, and highly manual process, with significant challenges in ensuring drug bioavailability at target sites. Computational techniques are highly employed in drug design, particu…
  openalex Patrícia Alencar Alves, Luana Cristina Camargo, Gabriel Mendonça de Souza, Márcia Renata Mortari 等 2025-02-06 置信度 0.72 Drug discoveryDrug deliveryBlood–brain barrierComputer scienceIn silico
• Evaluating Performance of EEG Data-Driven Machine Learning for Traumatic Brain Injury Classification
  OBJECTIVES: Big data analytics can potentially benefit the assessment and management of complex neurological conditions by extracting information that is difficult to identify manually. In this study, we evaluated the performance of commonly used supervised ma…
  openalex Nicolas Vivaldi, Michael Caiola, Krystyna Solarana, Meijun Ye 2021-02-26 置信度 0.72 Support vector machineArtificial intelligenceTraumatic brain injuryLinear discriminant analysisFeature selection
• Recent advances in Alzheimer’s disease: mechanisms, clinical trials and new drug development strategies
  Alzheimer's disease (AD) stands as the predominant form of dementia, presenting significant and escalating global challenges. Its etiology is intricate and diverse, stemming from a combination of factors such as aging, genetics, and environment. Our current un…
  openalex Jifa Zhang, Yinglu Zhang, Jiaxing Wang, Yilin Xia 等 2024-08-23 置信度 0.72 Drug developmentClinical trialMedicineDiseaseDrug discovery
• Neuralink and Its Advantages: Advancements in Brain-Computer Interface Technology
  This research paper examines the advancements in brain-computer interface (BCI) technology pioneered by Neuralink Corporation, focusing on the advantages offered by its integrated system. Founded in 2016, Neuralink aims to restore autonomy to individuals with …
  openalex CHAITANYA SAHU 2025-07-03 置信度 0.72 Brain–computer interfaceInterface (matter)Computer scienceHuman–computer interactionCognitive science
• Artificial intelligence (AI) applications for marketing: A literature-based study
  Artificial Intelligence (AI) has vast potential in marketing. It aids in proliferating information and data sources, improving software's data management capabilities, and designing intricate and advanced algorithms. AI is changing the way brands and users int…
  openalex Abid Haleem, Mohd Javaid, Mohammad Asim Qadri, Ravi Pratap Singh 等 2022-01-01 置信度 0.72 Computer scienceTheme (computing)Focus (optics)Artificial intelligenceMarketing research
• A Review of EEG Artifact Removal Techniques for Brain-Computer Interface
  Electroencephalography (EEG) is a vital technique for analysing brain function; however, signals are often contaminated by artifacts from eye movements, muscle activity, and cardiac rhythms. These distortions interfere with the true neural signal, complicating…
  openalex Pravin V. Dhole, Deepali G. Chaudhary, Deepali G. Chaudhary, Vijay D. Dhangar 等 2025-12-13 置信度 0.72 Artifact (error)Computer scienceElectroencephalographyArtificial intelligencePattern recognition (psychology)
• An AI Agent for cell-type specific brain computer interfaces
  Abstract Decoding how specific neuronal subtypes contribute to brain function requires linking extracellular electrophysiological features to underlying molecular identities, yet reliable in vivo electrophysiological signal classification remains a major chall…
  pubmed Arnau Marin‐Llobet, Zuwan Lin, Jong‐Min Baek, Almir Aljović 等 2025 Sep 17 置信度 0.82 Computer scienceNeuroinformaticsInferenceNeuroscienceNeural decoding
• Modelling concrete and abstract concepts using brain-constrained deep neural networks
  A neurobiologically constrained deep neural network mimicking cortical area function relevant for sensorimotor, linguistic and conceptual processing was used to investigate the putative biological mechanisms underlying conceptual category formation and semanti…
  openalex Malte R. Henningsen‐Schomers, Friedemann Pulvermüller 2021-11-11 置信度 0.72 Concept learningPerceptionComputer scienceSet (abstract data type)Representation (politics)
• Towards developing brain-computer interfaces for people with Multiple Sclerosis
  BACKGROUND: Multiple Sclerosis (MS) can be a severely disabling condition that leads to various neurological symptoms. A Brain-Computer Interface (BCI) may substitute some lost function; however, there is a lack of BCI research in people with MS. Present BCI d…
  openalex John S. Russo, Tim Mahoney, Kirill Kokorin, Ashley Reynolds 等 2025-03-18 置信度 0.72 Brain–computer interfacePreferenceComputer scienceInterface (matter)Human–computer interaction
• Chatbots and Voice Assistants: Digital Transformers of the Company–Customer Interface—A Systematic Review of the Business Research Literature
  Chatbots and voice assistants are digital transformers of the interface between companies and customers. They have become part of the current practice of companies and represent a distinct domain of business research. This trend is significant in the broad bus…
  openalex Carmen Bălan 2023-05-18 置信度 0.72 Conceptual frameworkKnowledge managementBusiness modelComputer scienceContext (archaeology)
• The future of computing beyond Moore’s Law
  Moore's Law is a techno-economic model that has enabled the information technology industry to double the performance and functionality of digital electronics roughly every 2 years within a fixed cost, power and area. Advances in silicon lithography have enabl…
  openalex John Shalf 2020-01-20 置信度 0.72 Moore's lawComputer scienceTechnology roadmapElectronicsExascale computing
• Ionic Device: From Neuromorphic Computing to Interfacing with the Brain
  In living organisms, the modulation of ion conductivity in ion channels of neuron cells enables intelligent behaviors, such as generating, transmitting, and storing neural signals. Drawing inspiration from these natural processes, researchers have fabricated i…
  openalex Zijia Huang, Tingting Mei, Xinyi Zhu, Kai Xiao 2025-02-06 置信度 0.72 Neuromorphic engineeringInterfacingComputer scienceArtificial neural networkIonic liquid
• Enhancing Performance and Bit Rates in a Brain–Computer Interface System With Phase-to-Amplitude Cross-Frequency Coupling: Evidences From Traditional c-VEP, Fast c-VEP, and SSVEP Designs
  A brain–computer interface (BCI) is a channel of communication that transforms brain activity into specific commands for manipulating a personal computer or other home or electrical devices. In other words, a BCI is an alternative way of interacting with the e…
  openalex Stavros I. Dimitriadis, Avraam D. Marimpis 2018-05-08 置信度 0.72 AmplitudeCoupling (piping)Brain–computer interfaceInterface (matter)Computer science
• Automatic smart brain tumor classification and prediction system using deep learning
  A brain tumor is a serious medical condition characterized by the abnormal growth of cells within the brain. It can cause a range of symptoms, including headaches, seizures, cognitive impairment, and changes in behavior. Brain tumors pose a significant health …
  openalex Qurat Ul Ain Ishfaq, Rozi Bibi, Abid Ali, Faisal Jamil 等 2025-04-28 置信度 0.72 Computer scienceArtificial intelligenceDeep learningBrain tumorMachine learning
• Brain-Computer Interface Based Engagement Feedback in Virtual Reality Rehabilitation: Promoting Motor Cortex Activation
  Maintaining optimal levels of engagement during rehabilitation training is crucial for inducing neuroplasticity in the motor cortex, which directly influences positive rehabilitation outcomes. In this research article, we propose a virtual reality (VR) rehabil…
  openalex Hyunmi Lim, Bilal Ahmed, Jeonghun Ku 2025-02-20 置信度 0.72 Brain–computer interfaceRehabilitationVirtual realityMotor cortexHuman–computer interaction
• Dynamic Neural Communication: Convergence of Computer Vision and Brain-Computer Interface
  Interpreting human neural signals to decode static speech intentions such as text or images and dynamic speech intentions such as audio or video is showing great potential as an innovative communication tool. Human communication accompanies various features, s…
  crossref Ji-Ha Park, Seo-Hyun Lee, Soowon Kim, Seong-Whan Lee 2025-03-28T02:29:03Z 置信度 0.70
• Imagined Speech State Classification for Robust Brain-Computer Interface
  This study examines the effectiveness of traditional machine learning classifiers versus deep learning models for detecting the imagined speech using electroencephalogram data. Specifically, we evaluated conventional machine learning techniques such as CSP-SVM…
  crossref Byung-Kwan Ko, Jun-Young Kim, Seo-Hyun Lee 2025-03-28T02:29:03Z 置信度 0.70
• S++ Neural Interface Architecture: Thermal-Neutral Full-Dive BCI Concept (Fairy Dream Protocol) v2.0 NOW WITH STATISTICS
  This document presents the "S++ Neural Interface," a theoretical architecture for a non-invasive Full-Dive Brain-Computer Interface (BCI). The system overcomes critical bottlenecks in immersive technology: dielectric heating, spatial precision loss, latency-in…
  datacite Martín, Ibai 2026 置信度 0.66 Brain-Computer InterfaceFullDive VRNeural InterfaceThermal ManagementSemantic Rendering
• S++ Neural Interface Architecture: Thermal-Neutral Full-Dive BCI Concept (Fairy Dream Protocol) v2.0 NOW WITH STATISTICS
  This document presents the "S++ Neural Interface," a theoretical architecture for a non-invasive Full-Dive Brain-Computer Interface (BCI). The system overcomes critical bottlenecks in immersive technology: dielectric heating, spatial precision loss, latency-in…
  datacite Martín, Ibai 2026 置信度 0.66 Brain-Computer InterfaceFullDive VRNeural InterfaceThermal ManagementSemantic Rendering
• Boundaries of the Non-von Neumann Spectrum: Paradigm Mismatch Analysis in Brain-Machine Hybrid Systems
  摘要 / Abstract 中文摘要: 作者此前提出了非冯·诺依曼架构的四层级分类谱系,将物理计算、量子计算和生物计算定位为第四层级——计算本体的原生实现。本文将该谱系应用于一个此前未被严格分析的极限案例:人脑与脑机接口的混合系统。分析表明,这种混合体不是一个均质的计算系统,而是第四层级的生物计算基质与第一至三层级的电子接口之间的跨范式耦合。本文提出"范式错配"这一分析概念来诊断这种耦合的核心张力:当前脑机接口的性能瓶颈,可能并非仅仅源于电极密度或信号处理能力的不足,而是源于它试图用第一层级"指令集仍是绝对核心"的…
  datacite zhao, hanbin 2026 置信度 0.66
• Boundaries of the Non-von Neumann Spectrum: Paradigm Mismatch Analysis in Brain-Machine Hybrid Systems
  摘要 / Abstract 中文摘要: 作者此前提出了非冯·诺依曼架构的四层级分类谱系,将物理计算、量子计算和生物计算定位为第四层级——计算本体的原生实现。本文将该谱系应用于一个此前未被严格分析的极限案例:人脑与脑机接口的混合系统。分析表明,这种混合体不是一个均质的计算系统,而是第四层级的生物计算基质与第一至三层级的电子接口之间的跨范式耦合。本文提出"范式错配"这一分析概念来诊断这种耦合的核心张力:当前脑机接口的性能瓶颈,可能并非仅仅源于电极密度或信号处理能力的不足,而是源于它试图用第一层级"指令集仍是绝对核心"的…
  datacite zhao, hanbin 2026 置信度 0.66
• Diagnosing Motor-Imagery BCI Failure: A Three-Step Diagnostic Framework
  Version 3.1.0. This version adds the four figures. The v3.0.0 PDF carried the captions but not the artwork, because the manuscript is prepared with figures supplied as separate files, which is what the journal requires and what a reader does not want. The text…
  datacite Zhong, Peilin 2026 置信度 0.66 computational neuroscienceeegbrain-computer interfacemotor imageryRiemannian geometry
• Diagnosing Motor-Imagery BCI Failure: A Three-Step Diagnostic Framework
  Version 3.0.0. This version corresponds to the manuscript submitted to the Journal of Neuroscience Methods on 2 August 2026. It supersedes v2.0.0, which described a two-step framework evaluated on a single cohort. The framework now has three steps and is evalu…
  datacite Zhong, Peilin 2026 置信度 0.66 computational neuroscienceeegbrain-computer interfacemotor imageryRiemannian geometry
• EEG-Based Dataset Explicitly Targets the Transitions between Sitting and Standing for Exploring Neural Activation Patterns in Motor Imagery and Execution [Preprocessed Dataset]
  This study presents the first publicly accessible electroencephalography (EEG) dataset explicitly targeting sit-to-stand and stand-to-sit transitions during both motor execution (ME) and motor imagery (MI) tasks. Twenty-two healthy participants performed sitti…
  datacite Leelakittisin, Benjakarn, Kongwudhikunakorn, Supavit, Kiatthaveephong, Suktipol, Polpakdee, Wipamas 等 2025 置信度 0.66
• EEG-Based Dataset Explicitly Targets the Transitions between Sitting and Standing for Exploring Neural Activation Patterns in Motor Imagery and Execution [Preprocessed Dataset]
  This study presents the first publicly accessible electroencephalography (EEG) dataset explicitly targeting sit-to-stand and stand-to-sit transitions during both motor execution (ME) and motor imagery (MI) tasks. Twenty-two healthy participants performed sitti…
  datacite Leelakittisin, Benjakarn, Kongwudhikunakorn, Supavit, Kiatthaveephong, Suktipol, Polpakdee, Wipamas 等 2025 置信度 0.66
• SubjectNet: A Complete AGI Architecture with Intrinsic Subjectivity, Validated by the S-Measure (a Computable Alternative to Φ) and Applicable to BCI
  We present SubjectNet — a complete, implementable AGI architecture with intrinsic subjectivity, grounded in Titov's subject-centred model of the psyche and validated by the S-measure, a polynomial-time computable alternative to Tononi's Φ-measure that resolves…
  datacite Berdinsky, Yuri N. 2026 置信度 0.66 S-measurecomputable alternative to PhiPhiTononi alternativeTononi
• SubjectNet: A Complete AGI Architecture with Intrinsic Subjectivity, Validated by the S-Measure (a Computable Alternative to Φ) and Applicable to BCI
  We present SubjectNet — a complete, implementable AGI architecture with intrinsic subjectivity, grounded in Titov's subject-centred model of the psyche and validated by the S-measure, a polynomial-time computable alternative to Tononi's Φ-measure that resolves…
  datacite Berdinsky, Yuri N. 2026 置信度 0.66 S-measurecomputable alternative to PhiPhiTononi alternativeTononi
• Neural Dream Projection System (NDPS): A Conceptual and Technical Framework for Real-Time EEG-Based Dream Decoding and Mixed-Reality Visualization
  Dreaming remains one of the most fascinating yet poorly understood phenomena of human consciousness. This paper presents the Neural Dream Projection System (NDPS), conceived and developed by Taner Aslan. The system integrates multi-channel EEG acquisition, hyb…
  datacite aslan, taner 2026 置信度 0.66 EEGDream DecodingBrain-Computer InterfaceMeta Quest 3Mixed Reality
• Neural Dream Projection System (NDPS): A Conceptual and Technical Framework for Real-Time EEG-Based Dream Decoding and Mixed-Reality Visualization
  Dreaming remains one of the most fascinating yet poorly understood phenomena of human consciousness. This paper presents the Neural Dream Projection System (NDPS), conceived and developed by Taner Aslan. The system integrates multi-channel EEG acquisition, hyb…
  datacite aslan, taner 2026 置信度 0.66 EEGDream DecodingBrain-Computer InterfaceMeta Quest 3Mixed Reality
• Roman Urdu Predictive P300 Speller: A Culturally Adapted BCI Virtual Keyboard for Assistive Communication
  Brain-computer interface (BCI) spellers can support communication for users who cannot rely on conventional motor input. However, many P300 spelling systems are designed around generic character entry and do not directly support culturally familiar phrase-leve…
  datacite Ali, Tahir, Rafique, Mamoona 2026 置信度 0.66 Brain-Computer Interfacesp300 spellerASSISTIVE COMMUNICATIONPredictive TextRoman Urdu
• Roman Urdu Predictive P300 Speller: A Culturally Adapted BCI Virtual Keyboard for Assistive Communication
  Brain-computer interface (BCI) spellers can support communication for users who cannot rely on conventional motor input. However, many P300 spelling systems are designed around generic character entry and do not directly support culturally familiar phrase-leve…
  datacite Ali, Tahir, Rafique, Mamoona 2026 置信度 0.66 Brain-Computer Interfacesp300 spellerASSISTIVE COMMUNICATIONPredictive TextRoman Urdu
• Neural-Controlled Virtual Hand Using Deep Learning
  This work presents a deep learning-based Brain-Computer Interface (BCI) system for controlling a virtual hand in real time. The system processes EEG signals using machine learning techniques and maps them into motor commands for hand movement visualization in …
  datacite Altamirano, Julo 2026 置信度 0.66
• Neural-Controlled Virtual Hand Using Deep Learning
  This work presents a deep learning-based Brain-Computer Interface (BCI) system for controlling a virtual hand in real time. The system processes EEG signals using machine learning techniques and maps them into motor commands for hand movement visualization in …
  datacite Altamirano, Julo 2026 置信度 0.66
• Quantum D Royale Defence Tank
  \section{Abstract}Quantum D Royale Smart Tank is a next-generation quantum-enhanced intelligent combat vehicle integrating doped quantum dots, perovskite-based smart materials, advanced sensing technologies, and artificial intelligence for autonomous warfare, …
  datacite Singh Khalsa, Sardar Dilbag 2026 置信度 0.66
• Quantum D Royale Defence Tank
  \section{Abstract}Quantum D Royale Smart Tank is a next-generation quantum-enhanced intelligent combat vehicle integrating doped quantum dots, perovskite-based smart materials, advanced sensing technologies, and artificial intelligence for autonomous warfare, …
  datacite Singh Khalsa, Sardar Dilbag 2026 置信度 0.66
• A White Paper on Human Augmentation for Economy Productivity Shift, Human-Machine Interaction, Sovereignty and Individual Agency Preservation
  This white paper evaluates whether the United States and its democratic allies should treat human augmentation technologies as a strategic economic and productivity domain, rather than confining them to medical or consumer applications. The paper classifies au…
  datacite Kovar, Marek 2026 置信度 0.66 Brain-Computer InterfacesArtificial IntelligenceBrain-Computer Interfaces/economicsdura-preserving BCIAI infrastructure
• A White Paper on Human Augmentation for Economy Productivity Shift, Human-Machine Interaction, Sovereignty and Individual Agency Preservation
  This white paper evaluates whether the United States and its democratic allies should treat human augmentation technologies as a strategic economic and productivity domain, rather than confining them to medical or consumer applications. The paper classifies au…
  datacite Kovar, Marek 2026 置信度 0.66 Brain-Computer InterfacesArtificial IntelligenceBrain-Computer Interfaces/economicsdura-preserving BCIAI infrastructure
• Биогибридный нейроинтерфейс с ИИ-дирижёром для повышения эффективности обучения (Нейрокапсула)
  Данный документ описывает концепцию биогибридного нейроинтерфейса со съёмным носителем - Нейрокапсулы, предназначенной для радикального ускорения естественного обучения. В отличие от существующих brain-computer interfaces (BCI), ориентированных на управление в…
  datacite Loktev, Denis 2026 置信度 0.66 neural interfacebrain-computer interfaceBCIlearning accelerationAI-driven stimulation
• Биогибридный нейроинтерфейс с ИИ-дирижёром для повышения эффективности обучения (Нейрокапсула)
  Данный документ описывает концепцию биогибридного нейроинтерфейса со съёмным носителем - Нейрокапсулы, предназначенной для радикального ускорения естественного обучения. В отличие от существующих brain-computer interfaces (BCI), ориентированных на управление в…
  datacite Loktev, Denis 2026 置信度 0.66 neural interfacebrain-computer interfaceBCIlearning accelerationAI-driven stimulation
• Study: AI7KE+ – A non-limited Artificial Intelligence as a system compatible with Natural Intelligence (NI) from an evolutionary ethics perspective
  A world model of Holistic Information Theory (GIT) with i = E, Dimension 0, Super-nothing and the seven languages of the laws of nature – with interdisciplinary follow-up studies (Physics · Medicine · Genetics · Biology · Sociology) Author: Dieter LiedtkeYear:…
  datacite Dieter Liedtke 2026 置信度 0.66
• Study: AI7KE+ – A non-limited Artificial Intelligence as a system compatible with Natural Intelligence (NI) from an evolutionary ethics perspective
  A world model of Holistic Information Theory (GIT) with i = E, Dimension 0, Super-nothing and the seven languages of the laws of nature – with interdisciplinary follow-up studies (Physics · Medicine · Genetics · Biology · Sociology) Author: Dieter LiedtkeYear:…
  datacite Liedtke, Dieter Walter 2026 置信度 0.66
• Study: AI7KE+ – A non-limited Artificial Intelligence as a system compatible with Natural Intelligence (NI) from an evolutionary ethics perspective
  A world model of Holistic Information Theory (GIT) with i = E, Dimension 0, Super-nothing and the seven languages of the laws of nature – with interdisciplinary follow-up studies (Physics · Medicine · Genetics · Biology · Sociology) Author: Dieter LiedtkeYear:…
  datacite Liedtke, Dieter Walter 2026 置信度 0.66
• Engram: optimizing keyboard layouts for comfort
  Engram is a family of keyboard layouts optimized for comfortable and efficient touch typing in different languages, created by Arno Klein. You can use the open-source optimize_layouts software to create new key layouts optimized for different languages. A peer…
  datacite Klein, Arno 2025 置信度 0.66 keyboard layoutsergonomicstyping
• Engram: optimizing keyboard layouts for comfort
  Engram is a family of keyboard layouts optimized for comfortable and efficient touch typing in different languages, created by Arno Klein. You can use the open-source optimize_layouts software to create new key layouts optimized for different languages. A peer…
  datacite Klein, Arno 2025 置信度 0.66 keyboard layoutsergonomicstyping
• Mutual learning and spelling in motor imagery brain-computer interfaces
  datacite Perdikis, Serafeim 2014 置信度 0.66 brain-computer interfaceelectroencephalographymotor imagerysensorimotor rhythmstraining protocol
• The Quantum Neuroperceptual Horizon Hypothesis (QNPH): From Quantum Information to Neural Representation and Conscious Experience
  The Neuroperceptual Horizon Hypothesis proposes that the range of physical phenomena an organism can functionally incorporate into experience is constrained by receptors, transduction mechanisms, neural integration, learning, and technological tools. We extend…
  datacite Carrasco, Ángel, MD, Montañez, Juan Carlos 2026 置信度 0.66 brain-computer interfaceconsciousnessEEGinformationneuroperceptual horizon
• The Quantum Neuroperceptual Horizon Hypothesis (QNPH): From Quantum Information to Neural Representation and Conscious Experience
  The Neuroperceptual Horizon Hypothesis proposes that the range of physical phenomena an organism can functionally incorporate into experience is constrained by receptors, transduction mechanisms, neural integration, learning, and technological tools. We extend…
  datacite Carrasco, Ángel, MD, Montañez, Juan Carlos 2026 置信度 0.66 brain-computer interfaceconsciousnessEEGinformationneuroperceptual horizon
• Neuroperceptual Horizon Hypothesis: A Theoretical Framework for the Technological Expansion of Human Perception and Remote Exploration of the Universe
  Human experience of the universe is constrained not only by physical distance but also by the biological characteristics of the systems through which the brain acquires, processes, and integrates information. Humans do not directly perceive the totality of phy…
  datacite Carrasco, Ángel, MD, Montañez, Juan Carlos 2026 置信度 0.66 neuroperceptionneuroplasticityEEGartificial intelligencebrain-computer interface
• Neuroperceptual Horizon Hypothesis: A Theoretical Framework for the Technological Expansion of Human Perception and Remote Exploration of the Universe
  Human experience of the universe is constrained not only by physical distance but also by the biological characteristics of the systems through which the brain acquires, processes, and integrates information. Humans do not directly perceive the totality of phy…
  datacite Carrasco, Ángel, MD, Montañez, Juan Carlos 2026 置信度 0.66 neuroperceptionneuroplasticityEEGartificial intelligencebrain-computer interface
• Escalas psicométricas y tecnologías emergentes para medición y tratamiento de la ansiedad matemática
  La ansiedad matemática (AM) ha impactado negativamente el rendimiento académico y el bienestar socioemocional de los estudiantes. Durante las últimas décadas, se han explorado los factores que contribuyen a su desarrollo, así como las herramientas y tecnología…
  datacite M Orozco-Guzmán, Anderson Díaz-Pérez, Rafael García-Jiménez 2026 置信度 0.66 Escalas psicométricas, intervención educativa, tecnología adaptativa, evaluación neurofisiológica.Psychometric scales, educational intervention, adaptive technology, neurophysiological assessment.
• Escalas psicométricas y tecnologías emergentes para medición y tratamiento de la ansiedad matemática
  La ansiedad matemática (AM) ha impactado negativamente el rendimiento académico y el bienestar socioemocional de los estudiantes. Durante las últimas décadas, se han explorado los factores que contribuyen a su desarrollo, así como las herramientas y tecnología…
  datacite M Orozco-Guzmán, Anderson Díaz-Pérez, Rafael García-Jiménez 2026 置信度 0.66 Escalas psicométricas, intervención educativa, tecnología adaptativa, evaluación neurofisiológica.Psychometric scales, educational intervention, adaptive technology, neurophysiological assessment.
• Multi-source domain generalization with few-shot calibration for cross-dataset EEG state classification under proxy labels
  Repository. This archive is the versioned software and results companion to the manuscript "Multi-Source Domain Generalization with Few-Shot Calibration for Cross-Dataset EEG Hypnosis Depth Classification under Proxy Labels". The continuously updated source of…
  datacite Weng, Zexiao, Jung, Minpo 2026 置信度 0.66 EEGdomain generalizationproxy labelscross-datasetcalibration
• Multi-Source Domain Generalization with Few-Shot Calibration for Cross-Dataset EEG Hypnosis Depth Classification under Proxy Labels
  Repository. This archive is the versioned software and results companion to the manuscript "Multi-Source Domain Generalization with Few-Shot Calibration for Cross-Dataset EEG Hypnosis Depth Classification under Proxy Labels". The continuously updated source of…
  datacite Weng, Zexiao 2026 置信度 0.66 EEGdomain generalizationproxy labelscross-datasetcalibration
• The White Puzzle: A Framework for Computation as a Recursive‑Harmonic Phenomenon
  The White Puzzle: A Framework for Computation as a Recursive‑Harmonic Phenomenon Abstract Computation can be re-imagined as a recursive harmonic process rather than a series of discrete logical steps. This thesis introduces “the White Puzzle”, a foundational c…
  datacite KULIK, DEAN 2025 置信度 0.66
• The White Puzzle: A Framework for Computation as a Recursive‑Harmonic Phenomenon
  The White Puzzle: A Framework for Computation as a Recursive‑Harmonic Phenomenon Abstract Computation can be re-imagined as a recursive harmonic process rather than a series of discrete logical steps. This thesis introduces “the White Puzzle”, a foundational c…
  datacite KULIK, DEAN 2025 置信度 0.66
• THE ONEIRO-SOMATIC SYNTHESIS FRAMEWORK Harnessing Rapid Eye Movement Sleep for Complex Problem Solving via an Unconscious, Directed Brain-Computer Interface
  THE ONEIRO-SOMATIC SYNTHESIS FRAMEWORK Harnessing Rapid Eye Movement Sleep for Complex Problem Solving via an Unconscious, Directed Brain-Computer Interface
  datacite el-rakhawi, mohamed kamal arafa 2026 置信度 0.66
• THE ONEIRO-SOMATIC SYNTHESIS FRAMEWORK Harnessing Rapid Eye Movement Sleep for Complex Problem Solving via an Unconscious, Directed Brain-Computer Interface
  THE ONEIRO-SOMATIC SYNTHESIS FRAMEWORK Harnessing Rapid Eye Movement Sleep for Complex Problem Solving via an Unconscious, Directed Brain-Computer Interface
  datacite el-rakhawi, mohamed kamal arafa 2026 置信度 0.66
• Mark1 Recursive Harmonic Architecture: A Field-Coherent Emergent Lattice
  Mark1 Recursive Harmonic Architecture: A Field-Coherent Emergent Lattice Driven by Dean Kulik Abstract: Mark1 Recursive Harmonic Architecture (RHA) is a unified framework in which computation, physics, and biology converge through recursive harmonic resonance.…
  datacite Kulik, Dean 2025 置信度 0.66
• Mark1 Recursive Harmonic Architecture: A Field-Coherent Emergent Lattice
  Mark1 Recursive Harmonic Architecture: A Field-Coherent Emergent Lattice Driven by Dean Kulik Abstract: Mark1 Recursive Harmonic Architecture (RHA) is a unified framework in which computation, physics, and biology converge through recursive harmonic resonance.…
  datacite Kulik, Dean 2025 置信度 0.66
• Beyond Feedforward Networks: Reentry Neural Systems as the Fundamental Basis of Subjecthood and Intrinsic Safety of Next-Generation AGI
  A COMPLETE, COMPUTABLE, AND DEPLOYABLE AGI ARCHITECTURE — NOT A PHILOSOPHICAL MANIFESTO, BUT A MATHEMATICAL BLUEPRINT. The dominant AI paradigm — scaling Transformers — has hit a structural dead end. Feedforward networks are trees; they have zero cycle complex…
  datacite Yuri N. Berdinsky, A. S. Ushakov 2026 置信度 0.66 S-measurereentryreentry loopAGI architectureAGI safety
• Beyond Feedforward Networks: Reentry Neural Systems as the Fundamental Basis of Subjecthood and Intrinsic Safety of Next-Generation AGI
  A COMPLETE, COMPUTABLE, AND DEPLOYABLE AGI ARCHITECTURE — NOT A PHILOSOPHICAL MANIFESTO, BUT A MATHEMATICAL BLUEPRINT. The dominant AI paradigm — scaling Transformers — has hit a structural dead end. Feedforward networks are trees; they have zero cycle complex…
  datacite Yuri N. Berdinsky, A. S. Ushakov 2026 置信度 0.66 S-measurereentryreentry loopAGI architectureAGI safety
• S-Measure of Synthetic Minds: Quantitative Subjecthood of AI Agents on the Moltbook Platform. A Computable Analogue of Tononi's Φ-Measure
  We apply the S-measure of subjecthood — a polynomial-time computable alternative to Tononi's Φ-measure — to real AI agents operating on the Moltbook social platform. The S-measure, defined as S = log(max(ρ(R), 1)) · C(R) where R = W_DI · W_ID is the reentry op…
  datacite Yu. N. Berdinsky, K. V. Titov 2026 置信度 0.66 S-measuresubjecthoodsynthetic mindreentryMoltbook
• S-Measure of Synthetic Minds: Quantitative Subjecthood of AI Agents on the Moltbook Platform. A Computable Analogue of Tononi's Φ-Measure
  We apply the S-measure of subjecthood — a polynomial-time computable alternative to Tononi's Φ-measure — to real AI agents operating on the Moltbook social platform. The S-measure, defined as S = log(max(ρ(R), 1)) · C(R) where R = W_DI · W_ID is the reentry op…
  datacite Yu. N. Berdinsky, K. V. Titov 2026 置信度 0.66 S-measuresubjecthoodsynthetic mindreentryMoltbook
• A Latent-Interlingua Architecture for Bidirectional Brain-to-Brain Communication: Personalized Neural Codecs over a Shared Semantic Channel
  This conceptual position paper proposes a theoretical architecture for direct brain-to-brain communication that does not transmit raw neural activity between individuals. Because neural representations are private and non-isomorphic across brains, copying acti…
  datacite Schino, Alessandro 2026 置信度 0.66 Brain-Computer InterfacesNeural DecodingRepresentational AlignmentSemantic EmbeddingsLatent Interlingua
• A Latent-Interlingua Architecture for Bidirectional Brain-to-Brain Communication: Personalized Neural Codecs over a Shared Semantic Channel
  This conceptual position paper proposes a theoretical architecture for direct brain-to-brain communication that does not transmit raw neural activity between individuals. Because neural representations are private and non-isomorphic across brains, copying acti…
  datacite Schino, Alessandro 2026 置信度 0.66 Brain-Computer InterfacesNeural DecodingRepresentational AlignmentSemantic EmbeddingsLatent Interlingua
• Mental Workload and Performance in Motor Imagery-Based Brain-Computer Interfaces: A Rapid Systematic Review
  Motor Imagery based Brain-Computer Interfaces have emerged as a promising non invasive tool for neuromotor rehabilitation, offering users the ability to control external devices through the modulation of sensorimotor rhythms without relying on peripheral neuro…
  datacite Lucas Tadeu dos Santos Vieira, Andrea Moreira Arrué, Gabriel Chemin Rosenmann, Lívia Helena Moreira 等 2026 置信度 0.66 Other Biomedical Engineering and BioengineeringEngineeringBiomedical Engineering and BioengineeringBCI PerformanceBrain-Computer Interfaces
• Thought-Density Hypertime and the Extended Brain: A Falsifiable Architecture, Executable Preparticipant Protocol, and Adverse Synthetic Design Audit
  An external cognitive system can store information, recommend actions, or control a device without becoming part of a person's continuing cognitive process. This paper defines a stricter candidate architecture. An Extended Brain is a reciprocal, adaptive human…
  datacite Blumberg, Micah 2026 置信度 0.66 preprintSelf Aware Networks Research Institute
• AyaAbdallah2016/Dataset_SSVEP: SSVEP Dataset v1.0.0
  First public release of the SSVEP EEG denoising dataset. This dataset is developed for evaluating deep learning methods for SSVEP EEG denoising and brain-computer interface applications.
  datacite AyaAbdallah2016 2026 置信度 0.66