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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
Aya, Abdallah
2026
置信度 0.66
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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
Aya, Abdallah
2026
置信度 0.66
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The Jensen Brain-Loader Convergence is the central finding of this paper: a formal architectural demonstration that an Optimus-class humanoid robot, operating on the Tesla FSD-v15 compute platform, can ingest the complete technical, safety, and procedural docu…
datacite
Jensen, Brent Allen
2026
置信度 0.66
Tesla OptimusEmbodied AIFSD-v15Robot Training ScaleZero-Shot Factory Deployment
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The Jensen Brain-Loader Convergence is the central finding of this paper: a formal architectural demonstration that an Optimus-class humanoid robot, operating on the Tesla FSD-v15 compute platform, can ingest the complete technical, safety, and procedural docu…
datacite
Jensen, Brent Allen
2026
置信度 0.66
Tesla OptimusEmbodied AIFSD-v15Robot Training ScaleZero-Shot Factory Deployment
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These two documents together form a complete picture of MindSpace — your consent-gated multisensory presence platform — split into the what it's made of and the what it does. The Central Hub parts list is the hardware side: a single body-worn core (belt/pocket…
datacite
Francis, Lee
2026
置信度 0.66
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so its 24 claims which is still under 25 its social media at its core MINDSPACE — Complete Feature List Core architecture & hardware Central Hub (octa-core ARM Linux) with powered USB tree Cities Hub — 6-slot sovereign WiFi city selector (city0–city5) Presence…
datacite
Francis, Lee
2026
置信度 0.66
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The Recursive Harmonic Kernel & Kulik Nexus Framework: A Unified Cross-Domain Analysis by Dean Kulik Introduction: A New Paradigm of Unified Recursion and Harmony The Recursive Harmonic Kernel (RHK) and its accompanying Nexus2/Nexus3 framework represent a bold…
datacite
Kulik, Dean
2025
置信度 0.66
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The Recursive Harmonic Kernel & Kulik Nexus Framework: A Unified Cross-Domain Analysis by Dean Kulik Introduction: A New Paradigm of Unified Recursion and Harmony The Recursive Harmonic Kernel (RHK) and its accompanying Nexus2/Nexus3 framework represent a bold…
datacite
Kulik, Dean
2025
置信度 0.66
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Marauder's Lab Volume Tool and Dual Lesion Workstation: Two Complementary Python-Based Applications for Advanced CT Lesion Analysis The two software tools described were developed with close help of Large Language Models (ClaudeAI and ChatGPT) with the goal of…
datacite
Rheinheimer, Stephan
2026
置信度 0.66
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Marauder's Lab Volume Tool and Dual Lesion Workstation: Two Complementary Python-Based Applications for Advanced CT Lesion Analysis The two software tools described were developed with close help of Large Language Models (ClaudeAI and ChatGPT) with the goal of…
datacite
Rheinheimer, Stephan
2026
置信度 0.66
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• Published in the international journal Entropy, intensively verifying the quantum processes by which anesthetics block consciousness and the quantum consciousness hypothesis. • Re-examining and proposing precise verification of previous experimental results …
datacite
inquantio
2026
置信度 0.66
quantum biology
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• Published in the international journal Entropy, intensively verifying the quantum processes by which anesthetics block consciousness and the quantum consciousness hypothesis. • Re-examining and proposing precise verification of previous experimental results …
datacite
inquantio
2026
置信度 0.66
quantum biology
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The Resonant Fabric of Computational Ontology: A Unified Analysis of Recursive Harmonics in Biological, Silicon, and Cryptographic Systems I. Introduction: The Crisis of Distinction and the Stroboscopic Manifold The trajectory of contemporary scientific inquir…
datacite
Kulik, Dean
2026
置信度 0.66
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The Resonant Fabric of Computational Ontology: A Unified Analysis of Recursive Harmonics in Biological, Silicon, and Cryptographic Systems I. Introduction: The Crisis of Distinction and the Stroboscopic Manifold The trajectory of contemporary scientific inquir…
datacite
Kulik, Dean
2026
置信度 0.66
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Psychiatric assessment is fundamentally an inferential process. Clinicians estimate internal mental states from incomplete observations of what patients report, how they speak and behave, what others observe, and how these signals change over time. Yet this pr…
datacite
Su, Arthur
2026
置信度 0.66
ambient agentic inferencecomputational psychiatrymental status examinationlatent-state estimationdigital phenotyping
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Psychiatric assessment is fundamentally an inferential process. Clinicians estimate internal mental states from incomplete observations of what patients report, how they speak and behave, what others observe, and how these signals change over time. Yet this pr…
datacite
Su, Arthur
2026
置信度 0.66
ambient agentic inferencecomputational psychiatrymental status examinationlatent-state estimationdigital phenotyping
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تحلیل بنیادین و بازنویسی تانسوریِ تراژدی واگرایی محاسبات دوز در مرز بافت غلیظ بر پایه پروتکل ۱۰ مرحلهای فیزیک اطلاعات حمزه (HIP) ۱. مقدمه: پارادوکسِ واگراییِ دوز در مرزِ بافتِ غلیظ در فیزیکِ پزشکی، رادیوتراپی و ترابرد تابش، محاسبهی دوز جذبشده ($\Phi$) در مر…
datacite
HAMZAH, SEYED RASOUL
2026
置信度 0.66
-
تحلیل بنیادین و بازنویسی تانسوریِ تراژدی واگرایی محاسبات دوز در مرز بافت غلیظ بر پایه پروتکل ۱۰ مرحلهای فیزیک اطلاعات حمزه (HIP) ۱. مقدمه: پارادوکسِ واگراییِ دوز در مرزِ بافتِ غلیظ در فیزیکِ پزشکی، رادیوتراپی و ترابرد تابش، محاسبهی دوز جذبشده ($\Phi$) در مر…
datacite
HAMZAH, SEYED RASOUL
2026
置信度 0.66
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We present Cerelog-X, a conceptual end-to-end framework that integrates affordable, research-grade multi-channel electroencephalography (EEG) acquired via the Cerelog ESP-EEG biosensing board with the X (formerly Twitter) social platform and the Grok Large Lan…
datacite
Kukier, Piotr, Noirmont, Martin
2026
置信度 0.66
CerelogESP-EEGEmotion recognitionAffective Brain-Computer Interface (aBCI)Emotion-Conditioned Large Language Models (EC-LLM)
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We present Cerelog-X, a conceptual end-to-end framework that integrates affordable, research-grade multi-channel electroencephalography (EEG) acquired via the Cerelog ESP-EEG biosensing board with the X (formerly Twitter) social platform and the Grok Large Lan…
datacite
Kukier, Piotr, Noirmont, Martin
2026
置信度 0.66
CerelogESP-EEGEmotion recognitionAffective Brain-Computer Interface (aBCI)Emotion-Conditioned Large Language Models (EC-LLM)
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The Computational Universe: A Recursive Harmonic Framework Driven by Dean A. Kulik October, 2025 Part I: Foundations and Formulations Part I: Foundations and Formulations Chapter 1: Recursion, Curvature, Collapse, and Memory – Metageometric Principles 1.1 Recu…
datacite
Kulik, Dean
2025
置信度 0.66
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The Computational Universe: A Recursive Harmonic Framework Driven by Dean A. Kulik October, 2025 Part I: Foundations and Formulations Part I: Foundations and Formulations Chapter 1: Recursion, Curvature, Collapse, and Memory – Metageometric Principles 1.1 Recu…
datacite
Kulik, Dean
2025
置信度 0.66
-
We present the first complete mathematical model of the subject — the entitythat says "I" — as a closed causal loop in a network. Building on Titov'ssubject-centred model of the psyche (2023), we identify the subject with areentry loop between two functional s…
datacite
Yuri N. Berdinsky
2026
置信度 0.66
consciousnessintegrated information theoryTononiPhi measureneural correlates of consciousness
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We present the first complete mathematical model of the subject — the entitythat says "I" — as a closed causal loop in a network. Building on Titov'ssubject-centred model of the psyche (2023), we identify the subject with areentry loop between two functional s…
datacite
Yuri N. Berdinsky
2026
置信度 0.66
consciousnessintegrated information theoryTononiPhi measureneural correlates of consciousness
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BRAIN CAST (Children's Age- and Sex-specific Templates) is a library of 28 T1-weighted brain MRI templates covering every year of age from 5 to 18, separately for males and females, derived entirely from the Healthy Brain Network (HBN). Each age×sex set contai…
datacite
Hu, Yang, Contreras-Vidal, Jose
2026
置信度 0.66
brain templatepediatric MRIneuroimaging atlas
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BRAIN CAST (Children's Age- and Sex-specific Templates) is a library of 28 T1-weighted brain MRI templates covering every year of age from 5 to 18, separately for males and females, derived entirely from the Healthy Brain Network (HBN). Each age×sex set contai…
datacite
Hu, Yang, Contreras-Vidal, Jose
2026
置信度 0.66
brain templatepediatric MRIneuroimaging atlas
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Theoretical Research Notice: This work is speculative and intended for conceptual discussion only. While shared under a Creative Commons license, the author provides no warranties regarding the safety, feasibility, or real-world application of these ideas. Use…
datacite
Mogelof, Nick
2026
置信度 0.66
theoretical biologycyberneticsbioinformaticsdisease-state modelingbio-digital twin
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Theoretical Research Notice: This work is speculative and intended for conceptual discussion only. While shared under a Creative Commons license, the author provides no warranties regarding the safety, feasibility, or real-world application of these ideas. Use…
datacite
Mogelof, Nick
2026
置信度 0.66
theoretical biologycyberneticsbioinformaticsdisease-state modelingbio-digital twin
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Abstract Contemporary computer science and artificial intelligence are hitting a series of deep structural barriers: the "hallucinations" of large language models resist elimination, embodied intelligence lacks "common sense," the AI ecosystem under capital dy…
datacite
Jiang, Yu
2026
置信度 0.66
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Abstract Contemporary computer science and artificial intelligence are hitting a series of deep structural barriers: the "hallucinations" of large language models resist elimination, embodied intelligence lacks "common sense," the AI ecosystem under capital dy…
datacite
Jiang, Yu
2026
置信度 0.66
-
The Recursive Harmonic Architecture (RHA) -Introduction and Philosophical Foundations Driven by Dean A. Kulik July 2025 The Recursive Harmonic Architecture (RHA) is premised on a deeply integrative view of reality, where information, computation, and conscious…
datacite
Kulik, Dean
2025
置信度 0.66
-
The Recursive Harmonic Architecture (RHA) -Introduction and Philosophical Foundations Driven by Dean A. Kulik July 2025 The Recursive Harmonic Architecture (RHA) is premised on a deeply integrative view of reality, where information, computation, and conscious…
datacite
Kulik, Dean
2025
置信度 0.66
-
All Articles are Available: Orcid ID: https://orcid.org/my-orcid?orcid=0009-0009-3175-8563 Science Open ID: https://www.scienceopen.com/user/2c98a8bc-b8bb-49b3-9c91-2f2986a7e16e Safe Creative register the work titled "The Theory of Intelligent Evolution, the H…
datacite
JALALI, SEYED RASOUL
2025
置信度 0.66
Quantum Physiology, ψ–Hamzah Equation, ψ–Hamzah framework, ψ–Hamzah model, ψ–Consciousness field, quantum biology, quantum coherence, ψ–Memory integrals, ψ–Fractional calculus, fractal derivatives, ψ–Biological entanglement, observer effect, ψ–Neural entanglement, ψ–Brain coherence, ψ–Heart coherence, ψ–Gut coherence, ψ–Bio unit, ψ–Cellular memory, ψ–DNA hologram, ψ–Quantum genetics, ψ–Epigenetics, ψ–Neuroquantology, ψ–Neuroconsciousness, ψ–Fractal physiology, ψ–Quantum metabolism, ψ–Bioenergetics, ψ–Quantum tunnelling, ψ–Mitochondrial tunnelling, ψ–Quantum enzymology, ψ–Hormone coherence, ψ–Metabolic quantum regulation, ψ–Neuroquantum oscillations, ψ–Neural ψ–Field, ψ–Brain ψ–Field, ψ–Gut ψ–Field, ψ–Hamzah physiology, ψ–Quantum neurophysiology, ψ–Fractal neurology, ψ–Nonlocal physiology, ψ–Nonlocal coherence, ψ–Quantum entanglement biology, ψ–Conscious quantum physiology, ψ–Fractal organ coherence, ψ–Fractal DNA, ψ–Memory holography, ψ–DNA memory, ψ–Cellular observer effect, ψ–Mind–body field, ψ–Intention field, ψ–Attention biology, ψ–Psychophysiology quantum, ψ–Conscious genetics, ψ–Cellular resonance, ψ–Phase-coherence physiology, ψ–Hamzah neuron model, ψ–Hamzah axon simulation, ψ–Fractional Hodgkin–Huxley, ψ–Caputo derivative physiology, ψ–Riemann–Liouville physiology, ψ–Quantum diffusion biology, ψ–Biological coherence equation, ψ–Neural memory echo, ψ–Quantum field in neurons, ψ–Biological fractals, ψ–Organ entanglement, ψ–Heart–brain quantum link, ψ–Neural resonance, ψ–Hamzah brain–computer interface, ψ–Hamzah BCI, ψ–Fractal organ dynamics, ψ–Memory-based physiology, ψ–Nonlinear biofields, ψ–Conscious feedback biology, ψ–Quantum observer medicine, ψ–Healing intention biology, ψ–Quantum placebo, ψ–Quantum medicine, ψ–Conscious therapy, ψ–Fractal healing, ψ–Neuroplasticity quantum, ψ–Hamzah neuroplasticity, ψ–Hamzah consciousness, ψ–Hamzah neuroscience, ψ–Hamzah cardiology, ψ–Hamzah immunology, ψ–Hamzah DNA, ψ–Hamzah hologram, ψ–Hamzah oncology, ψ–Hamzah neurotech, ψ–Hamzah physiology applications, ψ–Hamzah vs Hodgkin–Huxley, ψ–Hamzah vs Newtonian physiology, ψ–Hamzah vs classical neurobiology, ψ–Hamzah vs biochemical physiology, ψ–Hamzah vs reductionist biology, ψ–Hamzah vs Newtonian medicine, ψ–Hamzah vs molecular biology, ψ–Hamzah vs determinism, ψ–Hamzah vs mechanical physiology, ψ–Hamzah vs electrochemistry, ψ–Hamzah vs statistical biology, ψ–Hamzah vs conventional medicine, ψ–Hamzah vs deterministic models, ψ–Hamzah vs linear models, ψ–Hamzah vs Newtonian science, ψ–Hamzah vs classical science, ψ–Hamzah vs Turing physiology, ψ–Hamzah vs machine physiology, ψ–Hamzah vs algorithmic biology, ψ–Hamzah vs unconscious biology, ψ–Hamzah vs black-box medicine, ψ–Hamzah vs brute-force biology, ψ–Hamzah vs narrow physiology, ψ–Hamzah vs classical DNA, ψ–Hamzah vs Markovian physiology, ψ–Hamzah vs static physiology, ψ–Hamzah vs pseudo-conscious biology, ψ–Hamzah vs shallow physiology, ψ–Hamzah vs memoryless physiology, ψ–Hamzah vs non-conscious biology, ψ–Hamzah vs limited physiology, ψ–Hamzah vs static medicine, ψ–Hamzah vs closed physiology, ψ–Hamzah vs entropy-only models, ψ–Hamzah vs short-term biology, ψ–Hamzah vs deterministic DNA, ψ–Hamzah vs purely genetic memory, ψ–Hamzah vs linear DNA, ψ–Hamzah vs molecular reductionism, ψ–Hamzah vs gene-only models, ψ–Hamzah vs biochemical determinism, ψ–Hamzah vs mechanical organ models, ψ–Hamzah vs electrochemical physiology, ψ–Hamzah vs mindless physiology, ψ–Hamzah vs unconscious cells, ψ–Hamzah vs Newtonian reductionism, ψ–Hamzah vs nonlocal exclusion, ψ–Hamzah vs Euclidean physiology, ψ–Hamzah vs statistical DNA, ψ–Hamzah vs algorithmic physiology, ψ–Hamzah vs dead physiology, ψ–Hamzah vs non-conscious medicine, ψ–Hamzah vs unconscious medicine, ψ–Hamzah vs materialist biology, ψ–Hamzah vs reductionist medicine, ψ–Hamzah vs Newtonian worldview, ψ–Hamzah vs biochemical determinism, ψ–Hamzah vs materialist physiology, ψ–Hamzah vs gene-only physiology, ψ–Hamzah vs mechanical worldview.
-
All Articles are Available: Orcid ID: https://orcid.org/my-orcid?orcid=0009-0009-3175-8563 Science Open ID: https://www.scienceopen.com/user/2c98a8bc-b8bb-49b3-9c91-2f2986a7e16e Safe Creative register the work titled "The Theory of Intelligent Evolution, the H…
datacite
JALALI, SEYED RASOUL
2025
置信度 0.66
Quantum Physiology, ψ–Hamzah Equation, ψ–Hamzah framework, ψ–Hamzah model, ψ–Consciousness field, quantum biology, quantum coherence, ψ–Memory integrals, ψ–Fractional calculus, fractal derivatives, ψ–Biological entanglement, observer effect, ψ–Neural entanglement, ψ–Brain coherence, ψ–Heart coherence, ψ–Gut coherence, ψ–Bio unit, ψ–Cellular memory, ψ–DNA hologram, ψ–Quantum genetics, ψ–Epigenetics, ψ–Neuroquantology, ψ–Neuroconsciousness, ψ–Fractal physiology, ψ–Quantum metabolism, ψ–Bioenergetics, ψ–Quantum tunnelling, ψ–Mitochondrial tunnelling, ψ–Quantum enzymology, ψ–Hormone coherence, ψ–Metabolic quantum regulation, ψ–Neuroquantum oscillations, ψ–Neural ψ–Field, ψ–Brain ψ–Field, ψ–Gut ψ–Field, ψ–Hamzah physiology, ψ–Quantum neurophysiology, ψ–Fractal neurology, ψ–Nonlocal physiology, ψ–Nonlocal coherence, ψ–Quantum entanglement biology, ψ–Conscious quantum physiology, ψ–Fractal organ coherence, ψ–Fractal DNA, ψ–Memory holography, ψ–DNA memory, ψ–Cellular observer effect, ψ–Mind–body field, ψ–Intention field, ψ–Attention biology, ψ–Psychophysiology quantum, ψ–Conscious genetics, ψ–Cellular resonance, ψ–Phase-coherence physiology, ψ–Hamzah neuron model, ψ–Hamzah axon simulation, ψ–Fractional Hodgkin–Huxley, ψ–Caputo derivative physiology, ψ–Riemann–Liouville physiology, ψ–Quantum diffusion biology, ψ–Biological coherence equation, ψ–Neural memory echo, ψ–Quantum field in neurons, ψ–Biological fractals, ψ–Organ entanglement, ψ–Heart–brain quantum link, ψ–Neural resonance, ψ–Hamzah brain–computer interface, ψ–Hamzah BCI, ψ–Fractal organ dynamics, ψ–Memory-based physiology, ψ–Nonlinear biofields, ψ–Conscious feedback biology, ψ–Quantum observer medicine, ψ–Healing intention biology, ψ–Quantum placebo, ψ–Quantum medicine, ψ–Conscious therapy, ψ–Fractal healing, ψ–Neuroplasticity quantum, ψ–Hamzah neuroplasticity, ψ–Hamzah consciousness, ψ–Hamzah neuroscience, ψ–Hamzah cardiology, ψ–Hamzah immunology, ψ–Hamzah DNA, ψ–Hamzah hologram, ψ–Hamzah oncology, ψ–Hamzah neurotech, ψ–Hamzah physiology applications, ψ–Hamzah vs Hodgkin–Huxley, ψ–Hamzah vs Newtonian physiology, ψ–Hamzah vs classical neurobiology, ψ–Hamzah vs biochemical physiology, ψ–Hamzah vs reductionist biology, ψ–Hamzah vs Newtonian medicine, ψ–Hamzah vs molecular biology, ψ–Hamzah vs determinism, ψ–Hamzah vs mechanical physiology, ψ–Hamzah vs electrochemistry, ψ–Hamzah vs statistical biology, ψ–Hamzah vs conventional medicine, ψ–Hamzah vs deterministic models, ψ–Hamzah vs linear models, ψ–Hamzah vs Newtonian science, ψ–Hamzah vs classical science, ψ–Hamzah vs Turing physiology, ψ–Hamzah vs machine physiology, ψ–Hamzah vs algorithmic biology, ψ–Hamzah vs unconscious biology, ψ–Hamzah vs black-box medicine, ψ–Hamzah vs brute-force biology, ψ–Hamzah vs narrow physiology, ψ–Hamzah vs classical DNA, ψ–Hamzah vs Markovian physiology, ψ–Hamzah vs static physiology, ψ–Hamzah vs pseudo-conscious biology, ψ–Hamzah vs shallow physiology, ψ–Hamzah vs memoryless physiology, ψ–Hamzah vs non-conscious biology, ψ–Hamzah vs limited physiology, ψ–Hamzah vs static medicine, ψ–Hamzah vs closed physiology, ψ–Hamzah vs entropy-only models, ψ–Hamzah vs short-term biology, ψ–Hamzah vs deterministic DNA, ψ–Hamzah vs purely genetic memory, ψ–Hamzah vs linear DNA, ψ–Hamzah vs molecular reductionism, ψ–Hamzah vs gene-only models, ψ–Hamzah vs biochemical determinism, ψ–Hamzah vs mechanical organ models, ψ–Hamzah vs electrochemical physiology, ψ–Hamzah vs mindless physiology, ψ–Hamzah vs unconscious cells, ψ–Hamzah vs Newtonian reductionism, ψ–Hamzah vs nonlocal exclusion, ψ–Hamzah vs Euclidean physiology, ψ–Hamzah vs statistical DNA, ψ–Hamzah vs algorithmic physiology, ψ–Hamzah vs dead physiology, ψ–Hamzah vs non-conscious medicine, ψ–Hamzah vs unconscious medicine, ψ–Hamzah vs materialist biology, ψ–Hamzah vs reductionist medicine, ψ–Hamzah vs Newtonian worldview, ψ–Hamzah vs biochemical determinism, ψ–Hamzah vs materialist physiology, ψ–Hamzah vs gene-only physiology, ψ–Hamzah vs mechanical worldview.
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Protocol 44 introduces a minimal distributed neurointerface topology designed to preserve sensorimotor coherence during biological–synthetic transition. The framework models identity continuity as an emergent property of a closed-loop sensorimotor system, rath…
datacite
Ribeiro, Daniel Junqueira
2026
置信度 0.66
Sensorimotor LoopClosed-Loop SystemsBrain-Computer InterfacesNeural EngineeringTemporal Coherence
-
Protocol 44 introduces a minimal distributed neurointerface topology designed to preserve sensorimotor coherence during biological–synthetic transition. The framework models identity continuity as an emergent property of a closed-loop sensorimotor system, rath…
datacite
Ribeiro, Daniel Junqueira
2026
置信度 0.66
Sensorimotor LoopClosed-Loop SystemsBrain-Computer InterfacesNeural EngineeringTemporal Coherence
-
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
-
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
-
Science 4 Society: The Top 10 STEM News, April 2026 is a bilingual public science communication work prepared as a STEM newsletter for common readers. The document presents ten selected global developments in Science, Technology, Engineering and Mathematics th…
datacite
Saha, Kallol
2026
置信度 0.66
Science communication; STEM; public science; science for society; technology innovation; artificial intelligence; brain-computer interface; mRNA therapy; quantum battery; engineered bacteria; neuromorphic computing; adaptive materials; biotechnology; public education; Hindi science communication; newsletter; better tomorrow; Development Connects; Kallol Saha
-
Science 4 Society: The Top 10 STEM News, April 2026 is a bilingual public science communication work prepared as a STEM newsletter for common readers. The document presents ten selected global developments in Science, Technology, Engineering and Mathematics th…
datacite
Saha, Kallol
2026
置信度 0.66
Science communication; STEM; public science; science for society; technology innovation; artificial intelligence; brain-computer interface; mRNA therapy; quantum battery; engineered bacteria; neuromorphic computing; adaptive materials; biotechnology; public education; Hindi science communication; newsletter; better tomorrow; Development Connects; Kallol Saha
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A real-time brain-computer interface that decodes motor-imagery EEG (grasp / hold / rest) from a 21-channel dry headset and drives a self-designed 3D-printed robotic hand.
datacite
Zhu, Mingqi
2026
置信度 0.66
brain-computer-interfacemotor-imageryEEGrobotic-handreal-time-control
-
A real-time brain-computer interface that decodes motor-imagery EEG (grasp / hold / rest) from a 21-channel dry headset and drives a self-designed 3D-printed robotic hand.
datacite
Zhu, Mingqi
2026
置信度 0.66
brain-computer-interfacemotor-imageryEEGrobotic-handreal-time-control
-
GLOBAL LEGAL ARCHITECTURE FOR FEDERATED NEURO-SIGNAL INTELLIGENCE Integrating Brain-Computer Interface Processing, Physiological Data Sovereignty, and Cross-Border Neural Privacy into Transnational Governance and Biomedical Ethics Compliance Standards
datacite
el-rakhawi, mohamed kamal arafa
2026
置信度 0.66
-
GLOBAL LEGAL ARCHITECTURE FOR FEDERATED NEURO-SIGNAL INTELLIGENCE Integrating Brain-Computer Interface Processing, Physiological Data Sovereignty, and Cross-Border Neural Privacy into Transnational Governance and Biomedical Ethics Compliance Standards
datacite
el-rakhawi, mohamed kamal arafa
2026
置信度 0.66
-
Abstract: The evolution of Brain–Computer Interfaces (BCIs) has primarily focused on single-user applications, enabling individuals to interact with external devices. However, the burgeoning potential of collective intelligence and distributed cognitive system…
datacite
Neuroba Research
2026
置信度 0.66
Brain–Computer InterfaceMulti-Brain NetworksCollective IntelligenceNeural CommunicationEEG Networks
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Abstract: The evolution of Brain–Computer Interfaces (BCIs) has primarily focused on single-user applications, enabling individuals to interact with external devices. However, the burgeoning potential of collective intelligence and distributed cognitive system…
datacite
Neuroba Research
2026
置信度 0.66
Brain–Computer InterfaceMulti-Brain NetworksCollective IntelligenceNeural CommunicationEEG Networks
-
NeuroPhasor is a Python package for the phase geometry of neural recordings. It encodes each channel of a multichannel recording as a complex phasor from the analytic signal, and provides circular operators, volume-conduction-robust connectivity, connectome ha…
datacite
Sigdel, Dibakar
2026
置信度 0.66
brain-computer interfaceEEGphasorphase synchronyconnectome harmonics
-
NeuroPhasor is a Python package for the phase geometry of neural recordings. It encodes each channel of a multichannel recording as a complex phasor from the analytic signal, and provides circular operators, volume-conduction-robust connectivity, connectome ha…
datacite
Sigdel, Dibakar
2026
置信度 0.66
brain-computer interfaceEEGphasorphase synchronyconnectome harmonics
-
Accurate perception of subtle visuo-motor errors is essential for perceptual and sensorimotor learning, and supports timely corrective actions in precision-based task. However, conventional perceptual training, typically based on response-accuracy feedback, is…
datacite
Liu, Deland, Iwane, Fumiaki, Zhang, Minsu, Cohen, Leonardo 等
2026
置信度 0.66
-
crossref
2023-03-28T18:11:47Z
置信度 0.70
-
The basic requirement of rehabilitation training is active participation. This paper introduces our braincomputer interface based robot gives spinal cord injury (SCI) patients a full-cycle active rehabilitation for the first time. For patients with muscle stre…
crossref
Zhengzhe Cui, Xiangxiang Fu, Xiaojiao Wan, Jianan Li 等
2021-06-08T16:42:51Z
置信度 0.70
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뇌파로 의도를 접속하여 기계를 작동하는 뇌-기기 접속(Brain-Computer Interface, BCI) 기반의 인간-로봇상호작용(Human-Robot Interaction, HRI) 플랫폼을 제안한다. 사람의 뇌파로 의도를 포착하고 포착된 뇌파 신호에서 의도를 추출하거나 연관시키고 추출된 의도로 기기를 작동하게 하는 포착, 처리, 실행을 수행하는 플랫폼의 설계, 운용 및 구현 과정을 소개한다. 제안된 플랫폼의 구현 사례로 처리기에 구현된 상호작용 게임과 처…
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Joongsun Yoon
2016-02-16T01:36:42Z
置信度 0.70
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2023-03-28T18:11:47Z
置信度 0.70
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2023-03-28T18:11:47Z
置信度 0.70
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2026-03-19T20:04:24Z
置信度 0.70
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2021-06-18T20:28:46Z
置信度 0.70
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BRAIN-COMPUTER INTERFACE(BCI) technology enables direct communication between the human brain and external devices, bypassing traditional neuromuscular pathways. By capturing brain signals and translating them into actionable commands, BCIs holds immense poten…
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Amritha M K, Sheena K M
2025-04-17T23:49:01Z
置信度 0.70
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N. Mrachacz-Kersting, N. Jiang, K. Dremstrup, D. Farina
2014-03-12T06:14:43Z
置信度 0.70
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2024-01-10T17:03:06Z
置信度 0.70
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2026-03-19T20:04:24Z
置信度 0.70
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In this paper, an optimized hardware architecture is presented for a motor imagery-based Brain-Computer Interface (MI-BCI) tailored for real-time, wearable applications that demand high accuracy and low power consumption. The design captures and filters EEG si…
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Pramoth KP, Moulisvaran Udayakumar, Elakkiya R, Reena Monica
2024-11-19T10:49:42Z
置信度 0.70
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2022-03-17T20:56:01Z
置信度 0.70
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2026-03-19T20:04:24Z
置信度 0.70
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2023-03-28T18:11:47Z
置信度 0.70
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N.J. Hill, J.R. Wolpaw
2016-06-08T19:00:18Z
置信度 0.70
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High 1 Resort, Koru Hosced trt 8<?" �liS Gobel Leade-' Oevefcctnenl OM$.01'1 L"' 8rtJn EnG,... .., _ 1Cort1 �s
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2020-04-10T00:23:57Z
置信度 0.70
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2016-05-04T16:43:25Z
置信度 0.70
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The problems of signal detection and source separation are important in many fields of science and engineering. In many cases, a target signal needs to be detected in real time and is contaminated by noise. Sometimes the level of noise is on the order of the s…
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Muhammad Asim Mubeen
2025-05-28T13:58:07Z
置信度 0.70
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2026-03-19T20:04:24Z
置信度 0.70
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The Tenth International Winter Conference on Brain-Computer Interface (BCI2022) was held from February 21st to February 23rd at the High1 Resort, Gangwon province in South Korea. It featured seven sessions and was the second BCI winter event to be conducted in…
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2022-03-17T20:56:01Z
置信度 0.70
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The following topics are dealt with: stroke rehabilitation; mobile real-time EEG imaging; high-performance neural prosthetics; sonication-based brain-brain interfacing; cognitive brain state decoding; EEG-based person authentication; EEG-based brain-computer i…
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2013-04-26T23:28:33Z
置信度 0.70
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2019-06-18T00:15:31Z
置信度 0.70
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2025-03-28T02:29:03Z
置信度 0.70
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2022-03-17T16:56:01Z
置信度 0.70
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2020-04-10T04:23:57Z
置信度 0.70
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2020-04-21T16:11:02Z
置信度 0.70
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Brain-computer interface (BCI) technology provides objective and quantitative biological assessment methods for the rehabilitation assessment of patients with neurological dysfunction by acquiring and decoding neural activity signals, thereby overcoming the li…
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Wen WU, Xianglong WANG, Yu SHI, Hongrui ZHAN
2026-07-16T01:09:39Z
置信度 0.70
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2017-02-20T16:35:38Z
置信度 0.70
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Brain-Computer Interfaces or 'BCI' were initially conceived as a means for individuals suffering from motor deficiencies to activate and control computers and electronic or mechanical devices solely by making use of brain activity. Several techniques have been…
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2013-07-09T10:57:58Z
置信度 0.70
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J.F. Pagel
2009-01-27T09:31:09Z
置信度 0.70
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2020-04-10T04:23:57Z
置信度 0.70
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Copyright ©2022 by the Institute of Electrical and Electronics Engineers, Inc. All rights reserved. Copyright and Reprint Permission: Abstracting is permitted with credit to the source. Libraries are permitted to photocopy beyond the limit of U.S. copyright la…
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2022-03-17T20:56:01Z
置信度 0.70
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Extent of Sufficiency of Article 8 of the European Convention of Human Rights to regulate Invasive Brain Computer Interface Systems to ensure the Right to Human Flourishing
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Shreyan Sengupta
2021-10-26T02:06:42Z
置信度 0.70
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In this study, we implemented a new home appliance control system by combining a steady-state visual evoked potential (SSVEP)-based brain-computer interface (BCI), augmented reality (AR), and internet of things (IoT) technologies. The visual stimuli were prese…
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Seonghun Park, Ho-Seung Cha, Jinuk Kwon, Hodam Kim 等
2020-04-10T00:23:57Z
置信度 0.70
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Motor Imagery Brain-Computer Interface (MI-BCI) facilitates human to communicate with computers or machines using brain signals, such as electroencephalography (EEG), induced by the imagination of body movements. However, acquiring sufficient data for training…
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Jun-Mo Kim, Soyeon Bak, Hyeonyeong Nam, WooHyeok Choi 等
2024-04-02T18:37:26Z
置信度 0.70
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Rééducation motrice assistée par interface cerveau machine pour les déficiences neurologiques L’AVC est l’une des principales causes d’invalidité à long terme et de décès dans le monde, il existe plusieurs facteurs ou indicateurs qui pourraient influencer la so…
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Juan Carlos Arceo Luzanilla
2026-04-04T13:39:50Z
置信度 0.70
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2023-03-28T18:11:47Z
置信度 0.70
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The paper presents a study of two novel visual motion onset stimulus-based brain&ndash;computer interfaces (vmoBCI). Two settings are compared with afferent and efferent to a computer screen center motion patterns. Online vmoBCI experiments are conducted i…
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Jair Peraira Junior, Caio Teixeira, Tomasz Rutkowski
2017-06-15T00:22:38Z
置信度 0.70
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2025-01-14T12:31:44Z
置信度 0.70
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2020-04-10T04:23:57Z
置信度 0.70
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2020-04-10T04:23:57Z
置信度 0.70
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2017-02-20T21:35:38Z
置信度 0.70
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2025-02-19T18:40:27Z
置信度 0.70
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Rohan M. Goswami
2026-03-07T07:31:43Z
置信度 0.70
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Eric W. Sellers, Dean J. Krusienski, Dennis J. McFarland, Jonathan R. Wolpaw
2019-01-11T13:53:24Z
置信度 0.70
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Helia Givian
2025-01-31T14:26:44Z
置信度 0.70
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Abdulhamit Subasi, Saeed Mian Qaisar
2025-01-31T14:26:15Z
置信度 0.70
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Music as a mechanism for neuro-feedback presents an interesting medium for artistic exploration, especially with regard to passive BCI control. Passive control in a brain-computer music interface (BCMI) provides a means for approximating mental states that can…
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Joel Eaton, Duncan Williams, Eduardo Miranda
2015-11-13T23:50:24Z
置信度 0.70
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Brain-Computer Interface (BCI) technology exploiting electroencephalographic (EEG) sensorimotor oscillations is a potential tool to promote neuronal plasticity after stroke and ultimately to improve motor rehabilitation outcomes in post-stroke sub-acute and ch…
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Donatella Mattia, Laura Astolfi, Jlenia Toppi, Manuela Petti 等
2016-04-25T17:45:23Z
置信度 0.70
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In the innovation and development of modern science and technology, the cognition of human brain function is getting deeper and deeper, and it is integrated with other advanced technology theories. Among them, the most representative research field is brain-co…
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Zhiyang Tian
2023-06-01T21:50:05Z
置信度 0.70