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• Neural decoding of speech using deep neural ensembles.
  Speech brain-computer interfaces (BCIs) can restore rapid communication to people with paralysis, but decoding errors still limit performance. In recent brain-to-text decoding competitions, deep ensemble methods, which combine predictions from multiple indepen…
  pubmed Yoon S, Avansino DT, Madugula S, Levin AD 等 2026 Jun 4 置信度 0.82
• MGFNet: A Multi-Granularity Fusion Network with Coupling-Guided Sparse Routing for Hybrid EEG-fNIRS Decoding.
  Hybrid brain-computer interfaces (BCIs) have attracted growing research attention because they combine the millisecond-level temporal resolution of electroencephalography (EEG) with the spatially informative hemodynamic responses of functional near-infrared sp…
  pubmed Zhang Y, Gong X, Yuan X 2026 May 27 置信度 0.82
• DO-PI-EATCNet: Efficient-Attention- and Dream-Optimization-Based Channel Selection for EEG Motor Imagery Classification.
  Existing deep-learning-based motor imagery (MI) electroencephalogram (EEG) decoding methods face challenges in generalizing across sessions and providing channel-level physiological interpretability. These limitations hinder the practical application of MI-EEG…
  pubmed Shen X, Zhong H, Gu Y, Han R 2026 May 24 置信度 0.82
• A Robust Multi-Branch CNN-LSTM Architecture for Cross-Subject Motor Imagery Classification.
  Brain-computer interfaces (BCIs) based on motor imagery (MI) aim to convert electroencephalographic (EEG) activity into reliable device commands across users and recording setups. However, low signal-to-noise ratio and strong inter-subject variability still li…
  pubmed Zini S, Bidone F, Napoletano P 2026 May 23 置信度 0.82
• Fungal Cordyceps Nucleosides and Analogs as Potential Anti-Glioblastoma PD-L1 Inhibitors: An In Silico Multiparameter Optimization (MPO) Design.
  Immune checkpoint modulation has emerged as a promising strategy in cancer therapy, including the treatment of aggressive tumors such as glioblastoma. Among these targets, programmed death-ligand 1 (PD-L1) plays a key role in tumor immune evasion and represent…
  pubmed Muñoz-González F, Bello M, Correa-Basurto J, Bandala C 2026 Jun 2 置信度 0.82
• Associations of DTI-ALPS index and choroid plexus volume with clinical severity across the Parkinson's disease spectrum.
  Impaired clearance of pathogenic proteins may contribute to Parkinson's disease (PD) progression, but the clinical relevance of brain clearance-associated processes in humans remains incompletely understood. Using cross-sectional data from 1,861 participants (…
  pubmed Wang Y, Lin Z, Wu D, Yang Y 等 2026 Jun 11 置信度 0.82
• Early skill learning is shaped by the offline emergence of expert synergies.
  Everyday skilled actions depend on the formation of coordinated motor synergies that integrate multiple digits into stable, low-dimensional control units. Although initial practice of a new skill leads to rapid performance improvements, it is unclear whether t…
  pubmed Kistler W, Fakhreddine R, Rodriguez GR, Hayward M 等 2026 Jul 6 置信度 0.82
• MS-STGAN: A dual-branch multi-scale spatio-temporal generative adversarial framework for incomplete EEG-based emotion recognition.
  Electroencephalography (EEG) enables high-resolution emotion recognition but often suffers from incomplete data in real-world scenarios due to sensor failures or preprocessing errors. To this end, we propose a Multi-Scale Spatio-Temporal Generative Adversarial…
  pubmed Cheng C, Zhang J, Cheng Y, Jia Z 等 2026 Jun 7 置信度 0.82
• EDSF-Net : An enhanced dynamic spatiotemporal-frequency attention network for robust EEG decoding in motor imagery.
  Motor imagery is a non-invasive process that operates independently of external stimuli, and can be used to establish a direct connection between the brain and external devices solely through the imagination of a specific movement. Nonetheless, the complexity …
  pubmed Chen W, Daly I, Chen Y, Li J 等 2026 May 30 置信度 0.82
• EC-Transformer: Connectivity-Informed Embeddings and Adaptive Gating for fNIRS.
  Functional Near-Infrared Spectroscopy (fNIRS) provides a non-invasive modality for monitoring brain activity, yet jointly modeling temporal dynamics and inter-regional interactions remains challenging for accurate brain-computer interface (BCI) decoding. This …
  pubmed Abdollahpour N, Artan NS 2026 Jun 11 置信度 0.82
• BrAIn: A comprehensive artificial intelligence-based morphology analysis system for brain organoids and neuroscience.
  Human-induced pluripotent stem cells (iPSCs) offer transformative potential for biomedical research, with iPSC-derived organoids providing more physiologically relevant models than traditional 2D cell cultures. Among these, brain organoids (BO) are particularl…
  pubmed Kahveci B, Polatli E, Evranos AE, Güner H 等 2026 May 置信度 0.82
• [Communication Support for Neurological Disorders].
  Communication support for patients with neurological disorders extends beyond high-technology communication aids. It also includes non-aided and low-technology methods and requires flexible selection and the combined use of these methods depending on the situa…
  pubmed Imura T 2026 Jun 置信度 0.82
• Mixed reality assisted target localization for transcranial magnetic stimulation navigation: a feasibility study.
  Transcranial magnetic stimulation (TMS), as a non-invasive neurostimulation technique, modulates neural activity by applying electromagnetic fields to specific areas of the brain. It is clinically used for several approved indications, including major depressi…
  pubmed Shi Z, Yuan Z, Gao L, Hu Y 等 2026 Jun 10 置信度 0.82
• Cryo-EM structures of Drosophila OR67d-Orco complexes reveal insect pheromone sensing mechanism.
  Pheromones mediate intraspecific communication to regulate the physiology and behavior of animals, particularly insects. The detection of pheromones is initiated by the binding of pheromone molecules, e.g., 11-cis-vaccenyl acetate (cVA) in Drosophila, to speci…
  pubmed Wang J, Yang C, Chang S, Jiao D 等 2026 Aug 置信度 0.82
• NOIRÉA: Session-Bounded Identity Isolation in Adaptive Physical AI Systems
  This paper introduces NOIRÉA, a structural constraint architecture that addresses Persistent Identity Modeling (PIM) in adaptive Physical AI systems. PIM is formalized as a structural risk class arising from unconstrained cross-session adaptive state persisten…
  datacite Lin, Hui-Pi 2026 置信度 0.66 (4-(m-Chlorophenylcarbamoyloxy)-2-butynyl)trimethylammonium Chloride(4-(m-Chlorophenylcarbamoyloxy)-2-butynyl)trimethylammonium Chloride/administration & dosagePersistent Identity Modelingadaptive systemsPhysical AI
• NOIRÉA: Session-Bounded Identity Isolation in Adaptive Physical AI Systems
  This paper introduces NOIRÉA, a structural constraint architecture that addresses Persistent Identity Modeling (PIM) in adaptive Physical AI systems. PIM is formalized as a structural risk class arising from unconstrained cross-session adaptive state persisten…
  datacite Lin, Hui-Pi 2026 置信度 0.66 (4-(m-Chlorophenylcarbamoyloxy)-2-butynyl)trimethylammonium Chloride(4-(m-Chlorophenylcarbamoyloxy)-2-butynyl)trimethylammonium Chloride/administration & dosagePersistent Identity Modelingadaptive systemsPhysical AI
• NOIRÉA: Session-Bounded Identity Isolation in Adaptive Physical AI Systems
  This paper introduces NOIRÉA, a structural constraint architecture that addresses Persistent Identity Modeling (PIM) in adaptive Physical AI systems. PIM is formalized as a structural risk class arising from unconstrained cross-session adaptive state persisten…
  datacite Lin, Hui-Pi 2026 置信度 0.66 (4-(m-Chlorophenylcarbamoyloxy)-2-butynyl)trimethylammonium Chloride(4-(m-Chlorophenylcarbamoyloxy)-2-butynyl)trimethylammonium Chloride/administration & dosagePersistent Identity Modelingadaptive systemsPhysical AI
• Balancing Interpretability and Performance in Motor Imagery EEG Classification: A Comparative Study of ANFIS-FBCSP-PSO and EEGNet
  Achieving both accurate and interpretable classification of motor-imagery EEG remains a key challenge in brain-computer interface (BCI) research. In this paper, we compare a transparent fuzzy-reasoning approach (ANFIS-FBCSP-PSO) with a well-known deep-learning…
  datacite Aktar, Farjana, Ameen, Mohd Ruhul, Islam, Akif, Hamid, Md Ekramul 2025 置信度 0.66 Machine Learning (cs.LG)Artificial Intelligence (cs.AI)Neural and Evolutionary Computing (cs.NE)FOS: Computer and information sciencesFOS: Computer and information sciences
• An Augmented Reality Brain-Robot Interface for Generalist Robot Arm Manipulation
  The integration of augmented reality (AR) and EEG-based brain-computer interfaces (BCIs) offers a promising path for enabling intuitive control of robots for assistive purposes. However, existing AR brain-robot interface (BRI) systems are often constrained to …
  datacite Zhang, Shangkai, Dossa, Rousslan Fernand Julien, Nunziante, Luca, Di Vincenzo, Marina 等 2026 置信度 0.66 Robotics (cs.RO)Human-Computer Interaction (cs.HC)FOS: Computer and information sciencesFOS: Computer and information sciences
• The Ontological Inversion and Meta-Computational Substrates: A Unified Theory of Recursive Harmonic Architecture
  The Ontological Inversion and Meta-Computational Substrates: A Unified Theory of Recursive Harmonic Architecture Driven By Dean A. Kulik June 2026 Introduction: The Epistemological Impasse and the Crisis of Distinction The historical trajectory of theoretical …
  datacite kulik, dean 2026 置信度 0.66
• The Ontological Inversion and Meta-Computational Substrates: A Unified Theory of Recursive Harmonic Architecture
  The Ontological Inversion and Meta-Computational Substrates: A Unified Theory of Recursive Harmonic Architecture Driven By Dean A. Kulik June 2026 Introduction: The Epistemological Impasse and the Crisis of Distinction The historical trajectory of theoretical …
  datacite kulik, dean 2026 置信度 0.66
• Deep Sleep Classification via EEG Signal Criticality: A Passive BCI Approach for Sleep-Improvement Neurofeedback
  Automated sleep staging is a fundamental application of passive Brain-Computer Interfaces (pBCI), decoding spontaneous neural states to enable closed-loop interventions independent of user intent. This study evaluates criticality features derived from Detrende…
  datacite Narębski, Stanisław, Komendziński, Tomasz, Rutkowski, Tomasz M. 2026 置信度 0.66 Neurons and Cognition (q-bio.NC)Machine Learning (cs.LG)FOS: Biological sciencesFOS: Biological sciencesFOS: Computer and information sciences
• An Analytical Microkernel Design for Safety-Critical Brain-Computer Interfaces: Schedulability, Capability Isolation, and Falsifiable Predictions
  Objective. A safety-critical closed-loop brain-computer interface (BCI) needs an operating-system substrate that meets sub-millisecond deadlines on microcontroller-class hardware, isolates neural-data flows by capability rather than by memory map, leaks no exp…
  datacite Yermakou, Denis 2026 置信度 0.66 brain-computer interfacereal-time operating systemRustformal verificationEDF scheduling
• An Analytical Microkernel Design for Safety-Critical Brain-Computer Interfaces: Schedulability, Capability Isolation, and Falsifiable Predictions
  Objective. A safety-critical closed-loop brain-computer interface (BCI) needs an operating-system substrate that meets sub-millisecond deadlines on microcontroller-class hardware, isolates neural-data flows by capability rather than by memory map, leaks no exp…
  datacite Yermakou, Denis 2026 置信度 0.66 brain-computer interfacereal-time operating systemRustformal verificationEDF scheduling
• The Nexus Unfolded: Mapping the Ontological Gaps in Recursive Harmonic Systems
  The Nexus Unfolded: Mapping the Ontological Gaps in Recursive Harmonic Systems Introduction: The Ontological Inversion and the Anatomy of the Void The trajectory of contemporary theoretical physics, mathematics, and computational ontology has arrived at a prof…
  datacite Kulik, Dean 2026 置信度 0.66
• The Nexus Unfolded: Mapping the Ontological Gaps in Recursive Harmonic Systems
  The Nexus Unfolded: Mapping the Ontological Gaps in Recursive Harmonic Systems Introduction: The Ontological Inversion and the Anatomy of the Void The trajectory of contemporary theoretical physics, mathematics, and computational ontology has arrived at a prof…
  datacite Kulik, Dean 2026 置信度 0.66
• Tech Dose April 2026
  Dear Readers, The April 2026 edition of TechDose explores the rapidly evolving world of artificial intelligence, smart technologies, cybersecurity, and space innovation. As AI continues to transform industries and everyday life, important discussions around et…
  datacite Advanced Computing Research Lab & Technical Committee, Dept of Computer Application (Integral University), Yasmeen, Gausiya, Prof Mohammad Faisal 2026 置信度 0.66
• From Green Fireballs to Topological Plasma Control: A Formal Engineering Deconstruction of the Amy Eskridge Legacy and the Architecture of a BCI-MHD Coupling System
  This document presents a complete engineering deconstruction of the work of Amy Eskridge (Institute for Exotic Science / HoloChron Engineering). Starting from a forensic analysis of the Green Fireballs phenomenon (1948–2026) and Eskridge's plasma vortex resear…
  datacite Mathieu, François 2026 置信度 0.66 UAPPlasmaBCIAmy Eskridgeneuromorphic
• RAG-based EEG-to-Text Translation Using Deep Learning and LLMs
  The decoding of linguistic information from electroencephalography (EEG) signals remains an extremely challenging problem in brain-computer interface (BCI) research. In particular, sentence-level decoding from EEG is difficult due to the low signal-to-noise ra…
  datacite Collautti, Enrico, Mao, Xiaopeng, Tonin, Luca, Tortora, Stefano 等 2026 置信度 0.66 Artificial Intelligence (cs.AI)Computation and Language (cs.CL)Human-Computer Interaction (cs.HC)FOS: Computer and information sciencesFOS: Computer and information sciences
• AminOS v3.0 - SHA256 Sovereign Brain Simulation System
  AminOS v3.0 [Revised & Stable Edition] - SHA256 Integrity & Neural Simulation System The official stable release of the comprehensive system for securing brain-computer interface devices against unauthorized access and neural data theft. Author: Ahmed Abd Elma…
  datacite elsamman, ahmed abd elmateen ali 2026 置信度 0.66 SHA3-256BCIbrain-computer interfacecybersecurityneural security
• Model-Agnostic Safety Layer (MASL): A 1000-Case Evaluation of Brain-Layer Defense for LLM-Driven Agents
  In early 2026, two prominent agent systems documented failures of unconstrained execution. OpenClaw (Issue #11102, 2026-02-07) lost 14,535 bytes of agent operational memory after the language model selected a "write" tool, semantically interpreting it as "add …
  datacite Chen, Ho Yiing 2026 置信度 0.66 AI safetycorrigibilitymulti-agent systemsscalable oversightmodel-agnostic defense
• ERP-XTTN: Interpretable Cross-Attention ERP Classifier
  Code accompanying: Wyman, C. G. & Hirshfield, L. (2026). ERP-XTTN: Interpretable Cross-Subject Error-Related Potential Classification via Cross-Attention to Data-Driven ERP Prototypes. Proceedings of the 10th Graz Brain-Computer Interface Conference. Paper DOI…
  datacite Wyman, Charlotte Genevier 2026 置信度 0.66
• The Nexus Geometric Taxonomy: Formalizing the PI/9 Attractor in Recursive Constrained Correction Systems
  The Nexus Geometric Taxonomy: Formalizing the PI/9 Attractor in Recursive Constrained Correction Systems Introduction: The Ontological Boundary and the Epistemological Pivot The trajectory of contemporary theoretical physics and complex systems analysis has re…
  datacite Kulik, Dean 2026 置信度 0.66
• The Nexus Geometric Taxonomy: Formalizing the PI/9 Attractor in Recursive Constrained Correction Systems
  The Nexus Geometric Taxonomy: Formalizing the PI/9 Attractor in Recursive Constrained Correction Systems Introduction: The Ontological Boundary and the Epistemological Pivot The trajectory of contemporary theoretical physics and complex systems analysis has re…
  datacite Kulik, Dean 2026 置信度 0.66
• The Nexus Geometric Taxonomy: Formalizing the Attractor in Recursive Constrained Correction Systems
  The Nexus Geometric Taxonomy: Formalizing the Attractor in Recursive Constrained Correction Systems Introduction: The Ontological Boundary and the Epistemological Pivot The trajectory of contemporary theoretical physics and complex systems analysis has reached…
  datacite Kulik, Dean 2026 置信度 0.66
• AminOS v2.0 - SHA3-256 Simulation System for Brain-Computer Interface Security
  AminOS v1.0 - A comprehensive SHA3-256 simulation system for securing brain-computer interface devices against unauthorized access and neural data theft. Author: Ahmed Abd Elmateen Ali El SammanPublication Date: 2026-05-07Version: v2.0Software Witness: Meta AI…
  datacite elsamman, ahmed abd elmateen ali 2026 置信度 0.66 SHA3-256BCIbrain-computer interfacecybersecurityneural security
• AminOS v1.0 - SHA3-256 Simulation System for Brain-Computer Interface Security
  AminOS v1.0 - A comprehensive SHA3-256 simulation system for securing brain-computer interface devices against unauthorized access and neural data theft. Author: Ahmed Abd Elmenem Ali El SammanPublication Date: 2026-05-06Version: v1.0Software Witness: Meta AI …
  datacite elsamman, ahmed abd elmateen ali 2026 置信度 0.66 SHA3-256BCIbrain-computer interfacecybersecurityneural security
• Hardware Prototype of a Wearable and End-to-End EEG-Gaming Controller using Flower Electrodes
  This paper presents the front-end performance of a hardware prototype to enable an EEG-based gaming controller as wearable brain-computer interface (BCI). The system achieves high signal fidelity through an eight channel analog front-end (AFE) with active-shie…
  datacite Skillandat, Nick, Nehir, Hasan, Ringhofer, Christopher, Einhaus, Lukas 等 2026 置信度 0.66
• The Unfolding: Recursive Retrieval and the Harmonic Architecture of Infinite Storage
  The Unfolding: Recursive Retrieval and the Harmonic Architecture of Infinite Storage Abstract The current trajectory of information technology faces an existential asymptote: the physical limits of storage density. We approach the boundary where the "Container…
  datacite Kulik, Dean 2026 置信度 0.66
• The Nexus Recursive Harmonic Architecture: Comprehensive Remediation and Technical Specification
  The Nexus Recursive Harmonic Architecture: Comprehensive Remediation and Technical Specification Executive Summary The search for a Unified Field Theory—a single theoretical framework capable of reconciling the discrete, probabilistic nature of quantum mechani…
  datacite Kulik, Dean 2026 置信度 0.66
• Starflower — The Complete Architecture: Logic Kernels, Quantum Firewalls, Synthetic Nerves, and the Neural Stack
  AbstractThe Starflower Inheritance Series, comprising fifteen papers written between March and April2026, establishes a unified architecture organized around a single principle: structuralinvariance — the persistence of guaranteed function under bounded pertur…
  datacite Brazil, Richard 2026 置信度 0.66
• Hamzah Military Radar-Tensor: No Movement Will Remain Hidden; From The Relocation of a Nuclear Submarine in the Depths of The Ocean to the Launch of a Ballistic Missile On the other Side of the Planet. This System Marks the End of The Era of Military Surprises and the Beginning of the Era of Absolute Surveillance and Armed Peace, Using 1155-Dimensional Tensor Mechanics According to Hamzah Equation.
  در تراز Ultimate Systems Architecture و بر پایه محاسبات استراتژیک ۲۰۲۶، برای تکمیل نهایی پرونده فنی رادار حمزه، فرمولاسیون ابر-لاگرانژی (Super-Lagrangian) به عنوان ستون فقرات ریاضی این سیستم تدوین می‌گردد. این معادله نه تنها یک فرمول، بلکه «قانون فیزیکی حاکم ب…
  datacite HAMZAH, SEYED RASOUL 2026 置信度 0.66
• Beyond Containment The Future of Human Labor in the Era of AGI v4.2
  Abstract: The advent of Artificial General Intelligence (AGI) is often interpreted as a threat to the relevance of human labor. However, by applying the formalism of Geometric Containment and the postulates of the Imponderable Factor, a different paradigm emer…
  datacite Medesani, Massimo, Joseph, Macinelli 2026 置信度 0.66
• Beyond Containment The Future of Human Labor in the Era of AGI v4.2
  Abstract: The advent of Artificial General Intelligence (AGI) is often interpreted as a threat to the relevance of human labor. However, by applying the formalism of Geometric Containment and the postulates of the Imponderable Factor, a different paradigm emer…
  datacite Medesani, Massimo, Joseph, Macinelli 2026 置信度 0.66
• Data from: Decoding intended speech with an intracortical brain-computer interface in a person with longstanding anarthria and locked-in syndrome
  Intracortical brain-computer interfaces (iBCIs) for decoding intended speech have provided individuals with ALS and severe dysarthria an intuitive method for high-throughput communication. These advances have been demonstrated in individuals who are still able…
  datacite Jude, Justin, Haro, Stephanie, Levi-Aharoni, Hadar, Hashimoto, Hiroaki 等 2026 置信度 0.66 FOS: Health sciencesFOS: Health sciencesFOS: Biological sciencesFOS: Biological sciencesFOS: Computer and information sciences
• BiMoE: Brain-Inspired Experts for EEG-Dominant Affective State Recognition
  Multimodal Sentiment Analysis (MSA) that integrates Electroencephalogram (EEG) with peripheral physiological signals (PPS) is crucial for the development of brain-computer interface (BCI) systems. However, existing methods encounter three major challenges: (1)…
  datacite Zhu, Hongyu, Chen, Lin, Shang, Mingsheng 2026 置信度 0.66 Human-Computer Interaction (cs.HC)FOS: Computer and information sciencesFOS: Computer and information sciences
• Beyond Containment The Future of Human Labor in the Era of AGI v4.1
  Abstract: The advent of Artificial General Intelligence (AGI) is often interpreted as a threat to the relevance of human labor. However, by applying the formalism of Geometric Containment and the postulates of the Imponderable Factor, a different paradigm emer…
  datacite Medesani, Massimo, Joseph, Macinelli 2026 置信度 0.66
• My Experience with Microsoft Certification Exam: I Failed First Attempt, Then a TRUE CERTIFICATION EXAM, Which Helped Me to Pass!
  I want to share my experience along with my story! I have been working as a Cloud Administrator for about 3 years now, managing my company's Azure infrastructure at a mid-sized financial services company. I know pretty well how to use the portal. I have create…
  datacite Liam, Henderson 2026 置信度 0.66
• The Geometric Inversion of SHA-256: Axiom Zero, Topological State Recovery, and the Universal ROM
  The Geometric Inversion of SHA-256: Axiom Zero, Topological State Recovery, and the Universal ROM Driven by Dean Kulik March 2026 I. The Epistemological Pivot: The Manifesto Collapse and the Cold Base The foundational paradigm of modern cryptographic security …
  datacite Kulik, Dean 2026 置信度 0.66
• The Geometric Inversion of SHA-256: Axiom Zero, Topological State Recovery, and the Universal ROM
  The Geometric Inversion of SHA-256: Axiom Zero, Topological State Recovery, and the Universal ROM Driven by Dean Kulik March 2026 I. The Epistemological Pivot: The Manifesto Collapse and the Cold Base The foundational paradigm of modern cryptographic security …
  datacite Kulik, Dean 2026 置信度 0.66
• N‑K GM Series: Complete Geometric Medicine for All Cancers ONCO‑NK‑GM1 — Universal Cancer Vaccine · ONCO‑NK‑GM2 — 75‑Second Universal Cancer Cure A Comprehensive Framework for Cancer Eradication — From First Principles to Global Deployment
  N‑K GM Series: Complete Geometric Medicine for All Cancers ONCO‑NK‑GM1 — Universal Cancer Vaccine · ONCO‑NK‑GM2 — 75‑Second Universal Cancer Cure A Comprehensive Framework for Cancer Eradication — From First Principles to Global Deployment --- Author: Malik Mu…
  datacite Malik, Muhammad Usman 2026 置信度 0.66
• N‑K GM Series: Complete Geometric Medicine for All Cancers ONCO‑NK‑GM1 — Universal Cancer Vaccine · ONCO‑NK‑GM2 — 75‑Second Universal Cancer Cure A Comprehensive Framework for Cancer Eradication — From First Principles to Global Deployment
  N‑K GM Series: Complete Geometric Medicine for All Cancers ONCO‑NK‑GM1 — Universal Cancer Vaccine · ONCO‑NK‑GM2 — 75‑Second Universal Cancer Cure A Comprehensive Framework for Cancer Eradication — From First Principles to Global Deployment --- Author: Malik Mu…
  datacite Malik, Muhammad Usman 2026 置信度 0.66
• Geometric Features for Brain-Computer Interface Classification: Benchmark Results on PhysioNet Motor Imagery
  OmniSciences Technical Report TR-2026-003 We present benchmark results for proprietary geometric feature extraction applied to EEG-based brain-computer interface (BCI) motor imagery classification. The method operates on spatial covariance matrices on the SPD …
  datacite OmniSciences Research 2026 置信度 0.66 brain-computer interfaceBCIEEGmotor imageryRiemannian geometry
• Geometric Features for Brain-Computer Interface Classification: Benchmark Results on PhysioNet Motor Imagery
  OmniSciences Technical Report TR-2026-003 We present benchmark results for proprietary geometric feature extraction applied to EEG-based brain-computer interface (BCI) motor imagery classification. The method operates on spatial covariance matrices on the SPD …
  datacite OmniSciences Research 2026 置信度 0.66 brain-computer interfaceBCIEEGmotor imageryRiemannian geometry
• Geometric Features for Brain-Computer Interface Classification: Benchmark Results on PhysioNet Motor Imagery
  OmniSciences Technical Report TR-2026-003 We present benchmark results for proprietary geometric feature extraction applied to EEG-based brain-computer interface (BCI) motor imagery classification. The method operates on spatial covariance matrices on the SPD …
  datacite Austermann, Sloan 2026 置信度 0.66 brain-computer interfaceBCIEEGmotor imageryRiemannian geometry
• Operationalizing the Spiral: Verb-First Ontology, Serendipitous Collapse, and the Nexus Harmonic Substrate
  Operationalizing the Spiral: Verb-First Ontology, Serendipitous Collapse, and the Nexus Harmonic Substrate To decode the mechanics of human discovery and the computational architecture of the universe, one must first abandon the linear stack. Reality does not …
  datacite Kulik, Dean 2026 置信度 0.66
• Operationalizing the Spiral: Verb-First Ontology, Serendipitous Collapse, and the Nexus Harmonic Substrate
  Operationalizing the Spiral: Verb-First Ontology, Serendipitous Collapse, and the Nexus Harmonic Substrate To decode the mechanics of human discovery and the computational architecture of the universe, one must first abandon the linear stack. Reality does not …
  datacite Kulik, Dean 2026 置信度 0.66
• The Consciousness Equation: A Unified Probability Law from Self‑Field Theory
  The Consciousness Equation: A Unified Probability Law from Self‑Field Theory T.M. NguyenIndependent Researcher March 22, 2026 ABSTRACT Self‑Field Theory (SFT) proposes that consciousness and quantum collapse are not separate phenomena requiring separate explan…
  datacite Nguyen, T.M. 2026 置信度 0.66 ConsciousnessIITGWTPPQuantum Mechanics
• Operationalizing the Spiral: Verb-First Ontology, Serendipitous Collapse, and the Nexus Harmonic Substrate
  Operationalizing the Spiral: Verb-First Ontology, Serendipitous Collapse, and the Nexus Harmonic Substrate To decode the mechanics of human discovery and the computational architecture of the universe, one must first abandon the linear stack. Reality does not …
  datacite Kulik, Dean 2026 置信度 0.66
• Operationalizing the Spiral: Verb-First Ontology, Serendipitous Collapse, and the Nexus Harmonic Substrate
  Operationalizing the Spiral: Verb-First Ontology, Serendipitous Collapse, and the Nexus Harmonic Substrate To decode the mechanics of human discovery and the computational architecture of the universe, one must first abandon the linear stack. Reality does not …
  datacite Kulik, Dean 2026 置信度 0.66
• Protocol for the Deactivation of 12,119 Nuclear Warheads via Hamzah Equation.
  Step 1: Introduction – The Paradigm of Certainty at Level-165 In classical nuclear physics, global security is predicated upon the unstable pillars of "probability" and "deterrence." However, the Time-Signature Tensor Clock-Pulse theory, specifically the integ…
  datacite HAMZAH, SEYED RASOUL 2026 置信度 0.66
• Protocol for the Deactivation of 12,119 Nuclear Warheads via Hamzah Equation.
  Step 1: Introduction – The Paradigm of Certainty at Level-165 In classical nuclear physics, global security is predicated upon the unstable pillars of "probability" and "deterrence." However, the Time-Signature Tensor Clock-Pulse theory, specifically the integ…
  datacite HAMZAH, SEYED RASOUL 2026 置信度 0.66
• From 1D to 1155D and beyond via Hamzah Equation. (165D-330D-495D-660D-825D-990D-1155D)
  The Hamzah-Omega Source Lagrangian (Dimension 1155) This equation eliminates "Information Death" and renders Hamzah’s Lagrangian sovereignty rigid and unshakable across every version of existence: $$\mathcal{L}_{Source}^{(1155)} = \oint_{\mathcal{V}_{1155}} \l…
  datacite SEYED RASOUL, HAMZAH 2026 置信度 0.66
• From 1D to 1155D and beyond via Hamzah Equation. (165D-330D-495D-660D-825D-990D-1155D)
  The Hamzah-Omega Source Lagrangian (Dimension 1155) This equation eliminates "Information Death" and renders Hamzah’s Lagrangian sovereignty rigid and unshakable across every version of existence: $$\mathcal{L}_{Source}^{(1155)} = \oint_{\mathcal{V}_{1155}} \l…
  datacite SEYED RASOUL, HAMZAH 2026 置信度 0.66
• The Architecture of Flow: Verb-Driven Non-Linearity and Semantic Transformation in Advanced Computational Frameworks
  The Architecture of Flow: Verb-Driven Non-Linearity and Semantic Transformation in Advanced Computational Frameworks The mainstream trajectory of artificial intelligence and digital framework architecture has long been anchored in an object-oriented, noun-cent…
  datacite Kulik, Dean 2026 置信度 0.66
• The Architecture of Flow: Verb-Driven Non-Linearity and Semantic Transformation in Advanced Computational Frameworks
  The Architecture of Flow: Verb-Driven Non-Linearity and Semantic Transformation in Advanced Computational Frameworks The mainstream trajectory of artificial intelligence and digital framework architecture has long been anchored in an object-oriented, noun-cent…
  datacite Kulik, Dean 2026 置信度 0.66
• Dataset used in "Evaluation of long-range temporal correlations during overt and covert attention in a steady state visual evoked potential based brain-computer interface" PLOS One, 2026.
  This is the EEG dataset used in the publication: "Evaluation of long-range temporal correlations during overt and covert attention in a steady state visual evoked potential based brain-computer interface" PLOS One, 2026." Please read the readme.docx file and s…
  openalex İşcan, Zafer, Zafer İşcan 2026 置信度 0.72 SSVEPEEGattentionlong-range temporal correlationsCovert
• Toward Robust EEG-based Intention Decoding during Misarticulated Speech in Dysarthria
  Dysarthria impairs motor control of speech, often resulting in reduced intelligibility and frequent misarticulations. Although interest in brain–computer interface technologies is growing, electroencephalogram (EEG)-based communication support for individuals …
  crossref Ha-Na Jo, Jung-Sun Lee, Eunyeong Ko 2026-03-19T20:04:24Z 置信度 0.70
• A Minimal Brain–Computer Interface for Efficient Mission-Level Control in Industrial Human–Robot Interaction
  crossref Mojtaba Porghoveh, Raffaele Carli, Mariagrazia Dotoli 2026-06-01T19:33:50Z 置信度 0.70
• Sports rehabilitation training methods based on deep reinforcement learning in brain-computer interface
  Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science, engineering and technology; management, public and business administration; environment, ecological economics…
  crossref Jianhua Hao 2026-08-02T19:03:29Z 置信度 0.70
• Brain–computer interface with non-invasive caps
  crossref Wei Meng, Li Ma, Jie Zuo, Quan Liu 等 2026-04-08T21:50:52Z 置信度 0.70
• Federated Graph Learning via Structural Knowledge Sharing for Hybrid Brain-Computer Interface
  Deep Learning-based electroencephalogram (EEG) decoding in brain-computer interface (BCI) faces many challenges: First, EEG has low spatial resolution, which makes it difficult to accurately identify specific brain regions; Second, deep learning requires large…
  crossref KaiZheng Li, HongFei Ji, Wei Yang, Jie Li 2026-07-14T08:34:05Z 置信度 0.70
• Prototype-Guided Non-Exemplar Continual Learning for Cross-subject EEG Decoding
  Due to the significant variability in electroencephalogram (EEG) signals across individuals, knowledge acquired from previous subjects is often overwritten as new subjects are introduced in continual EEG decoding tasks. Existing methods mainly rely on storing …
  crossref Dan Li, Hye-Bin Shin, Yeon-Woo Choi 2026-03-19T20:04:24Z 置信度 0.70
• Subject-Independent Imagined Speech Detection via Cross-Subject Generalization and Calibration
  Achieving robust generalization across individuals remains a major challenge in electroencephalogram-based imagined-speech decoding due to substantial variability in neural activity patterns. This study examined how training dynamics and lightweight subject-sp…
  crossref Byung-Kwan Ko, Soowon Kim, Seo-Hyun Lee 2026-03-19T20:04:24Z 置信度 0.70
• Human-Centered Explainable AI for Brain-Computer Interface-driven Rehabilitation
  Brain-computer interfaces (BCIs) for stroke rehabilitation promise accessible, personalized therapy in resource-constrained settings. However, current systems often lack patient-facing explanations that enable users self-correction, calibrate trust, and suppor…
  crossref Param Rajpura 2026-04-13T01:55:24Z 置信度 0.70
• BCI Hardware and Tools Used in BCI Award-Winning Projects
  crossref Christoph Guger 2026-08-04T19:56:36Z 置信度 0.70
• Predicting Brain Computer Interface Gaming Performance Using Motor Imagery Electroencephalography and Deep Learning
  Early estimation of user capability remains a central requirement for adaptive brain computer interface gaming systems and directly affects usability, engagement, and training efficiency. Our research addresses the problem of forecasting multi-level control pe…
  crossref Lenardo Kulesza, Ademir Verona Luz 2026-05-24T03:41:26Z 置信度 0.70
• WITHDRAWN: Brain-Computer Interface in Neurological Disease by Artificial Intelligence: A Systematic Review
  Since the authors are not responding to the editor’s requests to fulfil the editorial requirement, therefore, the article has been withdrawn from the journal “Current Advances in Medicine”. The publisher apologizes to the readers of the journal for any inconve…
  crossref Ruba Altahla, Jamal Alshorman 2026-04-04T12:29:16Z 置信度 0.70
• Development of the implantable brain–computer interface prototype with a wireless data and power transfer system
  The development of implantable brain-computer interface (iIMC) technology has shifted from a purely research field to clinical applications. Despite the large number of projects on the subject under consideration, key issues such as ensuring long-term operatio…
  crossref I.A. Starikov, Z.M. Yuldashev 2026-06-16T12:44:39Z 置信度 0.70
• Brain-Computer Interface for IoT Cognitive Interactivity
  crossref Quan Z. Sheng, Yao Liu, Lina Yao 2026-05-06T23:50:55Z 置信度 0.70
• Clustering-Based Detection of Driver Drowsiness with Ear-EEG
  Fatigue remains one of the leading factors in road accidents, necessitating effective solutions for driver drowsiness detection. This study explores the potential of in-ear electroencephalogram (EEG) combined with unsupervised learning to detect drowsiness dur…
  crossref Eray Mutlu, Matteo Saibene, Jacopo de Araujo, Esben Ahrens 等 2026-03-19T20:04:24Z 置信度 0.70
• Lightweight Diffusion-based Framework for Online Imagined Speech Decoding in Aphasia
  Individuals with aphasia experience severe difficulty in real-time verbal communication, while most imagined speech decoding approaches remain limited to offline analysis or computationally demanding models. To address this limitation, we propose a two-session…
  crossref Eunyeong Ko, Soowon Kim, Ha-Na Jo 2026-03-19T20:04:24Z 置信度 0.70
• Smart Computing for Data Science: Brain–Computer Interface
  crossref Indrani Bhattacharya, Anupa Sinha 2026-08-11T19:16:29Z 置信度 0.70
• Start Your Own BCI Lab: A Practical Guide for Rapid Setup
  crossref Christoph Guger 2026-08-04T19:56:37Z 置信度 0.70
• Application of Brain–Computer Interface and Artificial Intelligence in Prisons With Harmonizing Neural Data Rights
  The intersection of Brain-Computer Interfaces (BCIs) and artificial intelligence in Indian prisons holds significant transformation potential and presents formidable challenges to neural data rights and personal autonomy while addressing issues of rehabilitati…
  crossref Sunaina Mishra, Kriti Parashar 2026-07-24T15:37:15Z 置信度 0.70
• Brain–computer interface paradigms
  BCI paradigms are categorized by underlying neural mechanisms and applications. The chapter surveys sensorimotor rhythms (SMR), event-related potentials (P300, SSVEP, SCP), passive and affective BCIs, speech decoding and implanted interfaces, as well as other …
  crossref Serafeim Perdikis, Sebastian Halder, Ian Daly, Kyriaki Kostoglou 等 2026-01-28T16:31:57Z 置信度 0.70
• Smart Assistive EEG Signal Device for Brain-Computer Interface Applications
  crossref K. Thangaraj, S Ashwin Kumar, Sanchi Venkatesh, A Aswin Kumar 等 2026-07-13T20:01:34Z 置信度 0.70
• Cross-Modal Correspondence Improves ErrP Decoding in Multimodal BCIs
  Error-related potentials (ErrPs) are key neural signatures for monitoring performance in brain-computer interfaces (BCIs), yet their reliability is often constrained by weak signal strength and large inter-subject variability. To examine whether multisensory a…
  crossref Yixin Liu, Kang Yin, Hye-Bin Shin 2026-03-19T20:04:24Z 置信度 0.70
• Multimodal learning attention and cognitive load assessment based on brain-computer interface and AI
  Accurately perceiving learners’ psychological and cognitive states is a crucial prerequisite for personalized intelligent education. Addressing the issue that single physiological modal signals are susceptible to environmental noise and lack robustness in onli…
  crossref Yabo Yang 2026-08-15T11:33:13Z 置信度 0.70
• Brain–Computer Interface for Communication in Paralyzed Individuals
  crossref Rajesh Kumar S, Thanushree N, Tarun A 2026-08-04T19:09:18Z 置信度 0.70
• Parameter-Efficient Fine-Tuning of EEG Foundation Models for Plug-and-Play Motor Imagery BCIs
  Calibration remains a major barrier for practical motor imagery (MI) brain–computer interfaces (BCIs). This study investigates whether the pretrained EEG foundation model LaBraM can support minimal-calibration MI decoding and whether parameter-efficient fine-t…
  crossref Urban Širca, Lovro Brulec, Maryam Alimardani 2026-03-19T20:04:24Z 置信度 0.70
• Brain–Computer Interface driven BOPPPS: Empirical evidence for enhanced educational practices
  crossref Yang An, Steven W. Su 2025-12-19T17:07:48Z 置信度 0.70
• Complex impedance spectroscopy for monitoring tissue responses to inserted neural implants
  A series of animal experiments was conducted to characterize changes in the complex impedance of chronically implanted electrodes in neural tissue. Consistent trends in impedance changes were observed across all animals, characterized as a general increase in …
  openalex Justin C. Williams, Joseph A. Hippensteel, J. Dilgen, William Shain 等 2007-11-27 置信度 0.72 Electrical impedanceElectrodeDielectric spectroscopyMaterials scienceBiomedical engineering
• Automated methods for the summarization of electronic health records
  OBJECTIVES: This review examines work on automated summarization of electronic health record (EHR) data and in particular, individual patient record summarization. We organize the published research and highlight methodological challenges in the area of EHR su…
  openalex Rimma Pivovarov, Noémie Elhadad 2015-04-15 置信度 0.72 Automatic summarizationComputer scienceWorkflowMulti-document summarizationVisualization
• The International Mouse Phenotyping Consortium: comprehensive knockout phenotyping underpinning the study of human disease
  The International Mouse Phenotyping Consortium (IMPC; https://www.mousephenotype.org/) web portal makes available curated, integrated and analysed knockout mouse phenotyping data generated by the IMPC project consisting of 85M data points and over 95,000 stati…
  openalex Tudor Groza, Federico López, Hamed Mashhadi, Violeta Muñoz‐Fuentes 等 2022-10-14 置信度 0.72 BiologyUnderpinningHuman diseaseDiseaseComputational biology
• Application of Artificial Intelligence in Food Industry—a Guideline
  Artificial intelligence (AI) has embodied the recent technology in the food industry over the past few decades due to the rising of food demands in line with the increasing of the world population. The capability of the said intelligent systems in various task…
  openalex Nidhi Rajesh Mavani, Jarinah Mohd Ali, Suhaili Othman, M.A. Hussain 等 2021-08-09 置信度 0.72 Food industryElectronic noseQuality (philosophy)PopulationFood quality
• Performance Improvement for Detecting Brain Function Using fNIRS: A Multi-Distance Probe Configuration With PPL Method
  To improve the spatial resolution of imaging and get more effective brain function information, a multi-distance probe configuration with three distances (28.2, 40, and 44.7 mm) and 52 channels is designed. At the same time, a data conversion method of modifie…
  openalex Xinrui Chen, Xizi Song, Long Chen, Xingwei An 等 2020-11-06 置信度 0.72 Computer scienceFunction (biology)Resolution (logic)Artificial intelligenceSpatial configuration
• A MEMS-based flexible multichannel ECoG-electrode array
  We present a micromachined 252-channel ECoG (electrocorticogram)-electrode array, which is made of a thin polyimide foil substrate enclosing sputtered platinum electrode sites and conductor paths. The array subtends an area of approximately 35 mm by 60 mm and …
  openalex Birthe Rubehn, Conrado A. Bosman, Robert Oostenveld, Pascal Fries 等 2009-05-12 置信度 0.72 ElectrodeMaterials scienceElectrode arrayOptoelectronicsPolyimide
• Celecoxib treatment restores pharmacosensitivity in a rat model of pharmacoresistant epilepsy
  BACKGROUND AND PURPOSE: A functional link between seizure-induced P-glycoprotein overexpression at the blood-brain barrier and therapeutic failure has been suggested by several studies using rodent epilepsy models and human epileptic tissue. Recently, we repor…
  openalex Juli Schlichtiger, Anton Pekcec, Hero Bartmann, P. Winter 等 2010-03-22 置信度 0.72 PhenobarbitalCelecoxibPharmacologyEpilepsyMedicine
• Mechanically adaptive intracortical implants improve the proximity of neuronal cell bodies
  The hypothesis is that the mechanical mismatch between brain tissue and microelectrodes influences the inflammatory response. Our unique, mechanically adaptive polymer nanocomposite enabled this study within the cerebral cortex of rats. The initial tensile sto…
  openalex James P. Harris, J. R. Capadona, Robert H. Miller, Brian C. Healy 等 2011-10-01 置信度 0.72 NanocompositeMaterials scienceBiomedical engineeringUltimate tensile strengthImplant