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• Subliminal cues accompanied by action generate temporal expectancy and the role of supraliminal experience.
  Sensory events associated with motor actions are critical for perceptual calibration and motor control. Due to the stable temporal relationships between these events, individuals can anticipate the timing of one event based on another. While temporal expectanc…
  pubmed Lan Y, Hou X, Zeng H, Chen L 2026 Aug 5 置信度 0.82
• Molecular Architecture of Temporal Variability Network Dysfunction in Bipolar Disorder.
  Characterized by recurrent fluctuations in mood states, bipolar disorder (BD) is widely conceptualized as a disconnection syndrome associated with dysregulated brain dynamics. Nevertheless, the molecular mechanisms underlying this aberrant connectivity dynamic…
  pubmed Jiang L, Ye J, Zhu Y, Ma S 等 2026 Aug 5 置信度 0.82
• TractEdit: an open-source interactive tool for virtual dissection and manual refinement of diffusion MRI tractography.
  Objective. Accurate reconstruction of white matter pathways is essential for connectomics and pre-surgical planning. However, tractography algorithms inherently generate false positives, necessitating manual refinement ('virtual dissection') to isolate specifi…
  pubmed Tagliaferri M, Cattaneo L 2026 Aug 11 置信度 0.82
• Temporal dynamics of adapting to novel contexts during the generalization of learned spatial suppression.
  The spatial suppression of a high-probability distractor location (HPDL) acquired through statistical learning critically reduces its attentional priority. The present study conducted four experiments to systematically investigate the mechanisms underlying how…
  pubmed Zhao Y, Wang Y, Zhang J, Zhang X 2026 Jul 1 置信度 0.82
• Neurotechnology through the lens of users and as a novel field for society.
  Successful and responsible innovation in neurotechnology requires clear ethical priorities and a deep understanding of individual and societal needs as well as public concerns. Recent cases of consumer exploitation, misleading claims, and inadequate patient af…
  pubmed Ashouri D, Weh L, Borrmann V, Coenen C 等 2026 置信度 0.82
• Beyond the role in motor function, entopeduncular nucleus, a critical neural hub in psychiatric disorders and sleep regulation.
  The entopeduncular nucleus (EP) is a major output nucleus of the basal ganglia and plays a critical role in integrating motor, emotional, and behavioral processes. Although traditionally linked to motor control, accumulating evidence indicates that the EP is d…
  pubmed Wang H, Saeed S, Yan N, Wang D 2026 置信度 0.82
• Mechanically Programmable Electromagnetic Metamaterials for Generalized Phase Tailoring With Zero Static Power Consumption.
  Mechanically modulated reconfigurable electromagnetic metamaterials represent a promising avenue for flexible wavefront manipulation. However, most mechanically tunable designs rely on collective deformations and continuous external loading, leading to limited…
  pubmed He S, Yang C, Ye M, Tang H 等 2026 Jul 30 置信度 0.82
• Cross-region neural signal reconstruction to lift electrode placement constraints in SSVEP brain-computer interfaces.
  Steady-state visual evoked potential (SSVEP)-based brain-computer interfaces (BCIs) rely on occipital EEG recordings, which are infeasible in many clinical scenarios (e.g., supine positioning, traumatic brain injury), restricting SSVEP-BCI access for patients …
  pubmed Yan W, Luo Q, Du C, Li H 等 2026 Jul 29 置信度 0.82
• A Multimodal Imaging Workflow for Intraprocedural Targeting of Endovascular Stentrode Deployment: Technical Feasibility in a Phantom Model.
  The Stentrode (Synchron) is a self-expanding nitinol stent brain-computer interface device deployed within the superior sagittal sinus adjacent to the precentral gyrus. Millimetric precision is required, underscoring the need for a reproducible imaging workflo…
  pubmed De Toledo OF, Gutierrez-Aguirre SF, Nogueira BV, Sauvageau E 等 2026 Jul 29 置信度 0.82
• Age-related alterations in early and late auditory processing in children with attention-deficit/hyperactivity disorder: Evidence from event-related potentials.
  This study investigated age-related differences in auditory detection and attentional processing in school-aged children with attention-deficit/hyperactivity disorder (ADHD) compared to typically developing (TD) peers, focusing on mismatch negativity (MMN), P3…
  pubmed Huang J, Huang S, Kong Y, Zhou M 等 2026 Jul 24 置信度 0.82
• A Bias-Electrode-Free Multichannel ExG Readout IC with Time-Multiplexed PAM-4 Body Channel Communication.
  We propose a multi-channel ExG recording system integrated with body channel communication (BCC), targeting wearable multimodal human-machine interfaces, such as extended reality (XR) and brain-computer interfaces (BCIs). To suppress noise from the BCC transmi…
  pubmed Choi DH, Cheon SI, Ha S, Je M 2026 Jul 29 置信度 0.82
• Dynamic frailty and depressive symptoms in relation to incident stroke: findings from five harmonized longitudinal cohorts.
  Frailty and depressive symptoms are common in later life and may be related to cerebrovascular risk. Evidence remains limited on whether frailty burden and frailty change are associated with incident stroke across diverse aging cohorts.
  pubmed Jiang Y, Wang Q, Zhang J, Shan M 等 2026 置信度 0.82
• Decoding and Characterizing the Intracranial Representation of Semantic Information.
  Brain-computer interfaces (BCIs) have achieved impressive performance by decoding motor and articulatory signals associated with speech production. However, considerably less is known about whether higher-level semantic representations can be decoded from huma…
  pubmed Smith C, Inchyna S, Barrentine B, Nelson M 2026 Jul 15 置信度 0.82
• Correction: Domain-aware domain-class adaptation network for motor execution to motor imagery EEG classification.
  [This corrects the article DOI: 10.3389/fnins.2026.1851006.].
  pubmed Wang J, Xu G, Du C, Li Z 等 2026 置信度 0.82
• Correction: Modeling the acceptability of BCIs for motor rehabilitation after stroke: a large scale study on the general public.
  [This corrects the article DOI: 10.3389/fnrgo.2022.1082901.].
  pubmed Grevet E, Forge K, Tadiello S, Izac M 等 2026 置信度 0.82
• White matter functional connectome topology and its clinical correlations in adolescent major depressive disorder.
  Adolescence is a critical period for brain network remodeling and the onset of major depressive disorder (MDD); however, white matter (WM) functional topology in adolescent MDD remains underexplored. Given that WM functional signals reflect meaningful neural a…
  pubmed Chen K, Li X, Chen H, He Y 等 2026 置信度 0.82
• Spatial and Temporal Characteristics of Distractor-Induced Repulsion Effect in Visual Working Memory: A Behavioral and ERP Study.
  In visual working memory, relation-based distractors can induce a memory repulsion effect, yet its spatial boundary and cognitive stage remain unclear. Across two experiments, we examined the spatial modulation and temporal dynamics of this effect. Experiment …
  pubmed Zhang J, Zhou J, Zhang X 2026 Jul 置信度 0.82
• An Ultra-Compact ARCL-Based MEMS Radar Filter for Mobile Robotic Platforms.
  To address the stringent requirements for miniaturization and high reliability in the perception systems of mobile robotic platforms, this article presents an ultra-compact bandpass filter based on air core recta-coax lines using micro-electro-mechanical syste…
  pubmed Ding Y, Zhang R, Fan X, Chen W 等 2026 Jul 11 置信度 0.82
• Recent Progress in In-Ear EEG Technology and Its Emerging Real-World Applications: A Review.
  Electroencephalography (EEG) is a core technique for brain activity monitoring. However, conventional EEG systems suffer from complicated setup and poor portability, which drives the development of ear EEG technology. Ear EEG is divided into in-ear and around-…
  pubmed Yan H, Xu X 2026 Jun 23 置信度 0.82
• Robotic Rehabilitation in Spinal Cord Injury: Neurophysiological Basis and Severity-Based Clinical Framework.
  Background/Objectives : Spinal cord injury (SCI) causes heterogeneous motor, sensory, autonomic, and participation limitations; recovery priorities vary by injury level, completeness, time since injury and residual function. Robotic rehabilitation has expanded…
  pubmed Calabrò RS, Calderone A, Gregorio TD, Onesta MP 等 2026 Jul 11 置信度 0.82
• Detecting and Improving Human Cognitive State in Real-Time Using Data-Driven Adaptive Systems: A Systematic Review.
  Changes in human attention, workload, or alertness over time can affect task performance and may even increase the risk of injury. Detecting these changes in real time can be beneficial in improving system performance and safety. We reviewed 27 studies that de…
  pubmed Kulkarni AR, Kuber PM 2026 置信度 0.82
• Revealing dichotomous prior biases in social anxiety through a social prism model.
  Social situations can be overwhelming for some people, triggering avoidance and social anxiety (SA). However, it remains unknown why identical situations lead to different interpretations. Here, we developed a Social Prism Model to systematically address mecha…
  pubmed Wang Y, Ju Q, Jia R, Yuan M 等 2026 Jul 置信度 0.82
• An overview of current and emerging strategies for phantom limb pain.
  Phantom limb pain (PLP) is a disabling neuropathic pain syndrome affecting many individuals following limb amputation. Despite decades of research, PLP management remains challenging because of its complex and incompletely understood pathophysiology.
  pubmed Cascella M, De Simone M, Vittori A, Fasolino S 等 2026 Jul 27 置信度 0.82
• Transregional Neural Prostheses: Applications and Computational Tools.
  Transregional neural prostheses represent an emerging frontier in neural rehabilitation, integrating advances in clinical translation, neuroscience, and engineering. Damage to communication pathways within the interconnected nervous system often results in div…
  pubmed Wu S, Principe JC, Wang Y 2026 置信度 0.82
• Bio-Inspired Gaze and Neural Command Fusion for Assistive Smartphone Interaction.
  This paper presents an assistive smartphone interaction system that combines mobile gaze tracking with EEG-based BCI commands. The Android application estimates the user's gaze with the front camera, MediaPipe facial landmarks, a TinyTrackerS TFLite model, tem…
  pubmed Drăgoi MV, Nisipeanu I, Marin I, Cristoiu CA 等 2026 Jul 22 置信度 0.82
• Hybrid Edge-Cloud Asymmetric Analytics for Portable Multimodal BCI Biosensors.
  Portable biosensor hardware can now sustain continuous multimodal physiological acquisition at the edge, yet the analytical layer that converts raw signals into deployment-consistent inference remains the main bottleneck for practical embedded systems. This st…
  pubmed Ghosh S, Sindhujaa P, Senthil Kumar P, Mohan A 等 2026 Jul 21 置信度 0.82
• Pathogenicity Classification of TARDBP Variants of Uncertain Significance: An Integrative Clinical Characterization and Functional Validation.
  TAR DNA binding protein ( TARDBP ) is one of the major causative genes of amyotrophic lateral sclerosis (ALS), which drives disease progression through both gain-of-toxicity (GOT) and loss-of-function (LOF) mechanisms. The mutant TDP-43 exhibits aberrant nucle…
  pubmed Yang CS, Ma Y, Xie JL, Lou XY 等 2026 Jul 8 置信度 0.82
• A Review of Gel-Based Materials for Electromagnetic Devices.
  Gel-based materials are emerging as lightweight, mechanically compliant, and electromagnetically tunable platforms for next-generation antennas, electromagnetic interference (EMI) shields, microwave absorbers, and radomes. This review summarizes recent progres…
  pubmed Huang L, Xu H, Zhang Y, Zhang H 2026 置信度 0.82
• EEG-based automated evaluation of automotive sound quality using ensemble deep learning.
  The evaluation of automotive sound quality is of considerable significance for improving driving comfort. However, existing methodologies suffer from notable limitations, including inconsistencies in subjective evaluations and weak correlations between objecti…
  pubmed Xie L, Fang M, Liu Z, Zhu Y 2026 Jul 24 置信度 0.82
• A Single OLED With Hybrid Synaptic Plasticity Enabling In Situ Neuromorphic Processing and Visualization.
  As the core interface for human-computer interaction, multitask intelligent display systems face increasingly stringent demands regarding precision and functional integration. However, in existing architectures, light-emitting units only act as passive display…
  pubmed Kang P, Chen Z, Yang C, Yang S 等 2026 Jul 23 置信度 0.82
• Value-Driven Crossmodal Spatial Attention: The Role of Perceptual Load.
  Reward-associated stimuli capture attention in a value-driven manner, interfering with multisensory integration. This study investigated the mechanisms of value-driven crossmodal attention and the moderating role of perceptual load using the spatial ventriloqu…
  pubmed Wang Q, Chen L 2026 Jul 置信度 0.82
• Advancing spine connectomics and neural integration through machine learning and neuroengineering: a narrative review.
  Spinal connectomics is increasingly shifting understanding of the spinal cord from a simple reflex relay toward an active system that contributes to sensorimotor integration and adaptive motor control. This narrative review summarizes recent advances in the st…
  pubmed Kumar R, Kaur H, Sporn K, Salman SG 等 2026 置信度 0.82
• A Privacy-Preserving Markov Chain-Based Framework for Robust Motor Imagery EEG Classification in Brain-Computer Interfaces.
  Accurate classification of motor imagery (MI)-based electroencephalogram (EEG) signals is often challenged by signal non-stationarity, subject-specific variability, and privacy concerns associated with sharing raw neural data. To address these challenges, this…
  pubmed Khanam T, Siuly S, Wang H 2026 Jan-Dec 置信度 0.82
• Compressing Ultra-Dense Neural Recordings in Space and Time: A 3-D Modeling Approach.
  Increasing the number of channels is essential for improving neural signal acquisition in wireless implantable brain-computer interfaces (iBCIs). However, more channels raise power consumption and data rates, placing additional demands on the limited energy su…
  pubmed Wang Y, Fan G, Yu S, Guo Z 等 2026 置信度 0.82
• A dual-branch network with brain region-constrained attention for EEG emotion recognition.
  Electroencephalography (EEG)-based emotion recognition provides an objective avenue for affective computing. However, the complexity of EEG signals across temporal, frequency, and spatial domains makes any single dimension inadequate.
  pubmed Hua C, Cao H, Li Z, Huang Z 2026 置信度 0.82
• Prototypical graph based deep label propagation with semantic augmentation for cross-subject and cross-session EEG emotion recognition.
  Electroencephalogram (EEG)-based emotion recognition faces significant generalization challenges in cross-subject and cross-session settings, primarily due to the inherent non-stationarity, individual differences, and semantic deficiency of EEG signals. To add…
  pubmed Dan Y, Zhu L, Zhou D 2026 置信度 0.82
• Bypass neural interfaces for paralysis: clinical translation, challenges and future directions.
  Advances in neural recording, real-time decoding and bioelectronic stimulation have enabled a new class of systems that re-establish functional communication across disrupted neural pathways. In the context of paralysis, these neural bypass interfaces link ups…
  pubmed Lee MJR, Tan AKS, Lo YT, Liu C 等 2026 Jul 21 置信度 0.82
• Diverse dynamical responses of a memristive bi-membrane photosensitive neuron model.
  At the forefront of brain-computer interface research, studies on neuronal synchronization continue to show substantial application potential. Photoreceptor neurons are crucial for maintaining normal retinal function, and computational models integrating photo…
  pubmed Song H, Tan A, Chai Y, Yan Z 等 2026 Sep 置信度 0.82
• Learning generalizable representations across Heterogeneous Acquisition Environments for Breast Ultrasound Diagnosis.
  Ultrasound image classification remains challenging in clinical practice, given substantial variations in image appearance across devices, acquisition protocols, and operator habits, often unrelated to underlying pathology and associated with inconsistent mode…
  pubmed Wang H, Zhang S, Kong W, Shao W 等 2026 Aug 置信度 0.82
• Sustained hyperactivity of parasubthalamic nucleus by PACAP signaling mediates stress-induced anxiety.
  Stress represents a major risk factor for anxiety disorders, yet the underlying circuit and molecular substrates through which stress causes anxiety remain elusive. We employed an established stress paradigm to induce anxiety-like behaviors in mice and found t…
  pubmed Liu N, Wang H, Gao B, Wang XD 等 2026 Jul 20 置信度 0.82
• A 5.0 T Ultra-High-Field fMRI Dataset for Naturalistic Visual Scene Processing.
  Modeling neural responses under naturalistic visual stimulation is an important goal in computational neuroscience and brain-computer interface research. Progress in this area depends on neuroimaging datasets that combine repeated measurements, shared stimulus…
  pubmed Ye G, Wang M, Li C, Peng Y 等 2026 Jul 20 置信度 0.82
• An Online Bimanual EEG-MI-BCI With Shared Control for Bilateral Robotic-Assisted Training.
  Bimanual motor tasks are commonplace in daily life and are often integrated into rehabilitation therapies. However, previous brain-computer interface (BCI) for robotic-assisted rehabilitation predominantly focused on motor imagery (MI) of single limb. Moreover…
  pubmed Zhang M, Yu J, Wu L, Zi H 等 2026 置信度 0.82
• Targeting grasp-related cortical areas for intracortical brain-machine interfaces.
  This study aimed to improve intracortical microelectrode array implantation sites for grasp-related motor decoding by integrating anatomical, functional, and vascular imaging with preoperative 3D modeling. A participant with C5 tetraplegia underwent anatomical…
  pubmed Johnson TR, Foli C, Conlan EC, Koenig KA 等 2026 Sep 置信度 0.82
• Striatal network coordination tracks option value during probabilistic choice in pigeons.
  Animals making decisions under uncertainty must use learned value estimates to distinguish advantageous from disadvantageous options. In mammals, the striatum is a key substrate for value-related processing, but whether analogous network-level dynamics are pre…
  pubmed Yang L, Li Z, Li J, Yang L 等 2026 Aug 15 置信度 0.82
• Protein engineering: status report.
  With this status report, we aim to provide a timely snapshot of the protein engineering field as a broad and rapidly advancing discipline that integrates computational, molecular biology, structure-guided, evolutionary, and synthetic approaches to create new a…
  pubmed Ai HW, Arnold FH, Barrick D, Bayley H 等 2026 Jan 9 置信度 0.82
• Cross-subject generalization for EEG emotion recognition: a review of methods, challenges, and future trends.
  Cross-subject emotion recognition based on electroencephalogram (EEG) signals faces significant challenges, mainly because EEG data are highly non-stationary and easily influenced by time, environment, and individual physiological states. Meanwhile, substantia…
  pubmed Li Z, Wu X, Hao Y, Wang L 等 2026 置信度 0.82
• Functional ultrasound imaging through a human cranial window for mesoscopic mapping of motor effector encoding within the sensorimotor cortex.
  Understanding movement encoding within human cortical circuits has been essential for advancing brain computer interfaces (BCIs). However, there are limited minimally invasive, high resolution neurorecording methods sensitive enough to detect single-trial move…
  pubmed Lin LJ, Callier T, Heiles B, Pejsa K 等 2026 Jul 9 置信度 0.82
• A neuroprosthesis for restoring hand movement and sensation in a person with complete tetraplegia.
  Millions of people worldwide are living with movement and sensory impairments owing to spinal cord injury, stroke and other neurological conditions. Here we report a double neural bypass (DNB), a hybrid neuroprosthetic system designed to restore both immediate…
  pubmed Chandrasekaran S, Wandelt SK, Jangam A, Elias Z 等 2026 Jul 置信度 0.82
• Data from: Preparatory encoding of intended movement in human motor cortex and implications for brain-computer interfaces
  Over the course of a voluntary movement, motor cortical activity exhibits a transition from preparation to execution, with markedly different activity across these phases. Preparatory activity in particular might be used to improve brain-computer interfaces (B…
  datacite Rigotti-Thompson, Mattia, Nason-Tomaszewski, Samuel, Bechefsky, Payton, Acosta, Alexander 等 2026 置信度 0.66 Computational neuroscienceMotor cortexBrain electrophysiologyBrain-Computer InterfaceFOS: Medical engineering
• A 2-Block Architecture for Real-Time EEG Gait Decoding: A Pilot Study
  Closed-loop lower-limb exoskeleton control via Electroencephalography (EEG) remains limited by motion artifacts, low signal-to-noise ratio, and binary gait formulations that fail to capture full cortical gait complexity. We propose a 2-block Brain-Computer Int…
  datacite Sarkar, Shantanu, Prasad, Saurabh, Contreras-Vidal, Jose L. 2026 置信度 0.66 Machine Learning (cs.LG)Human-Computer Interaction (cs.HC)Signal Processing (eess.SP)FOS: Computer and information sciencesFOS: Electrical engineering, electronic engineering, information engineering
• The Nexus Complete Fold: A Grand Unified Specification of the Recursive Harmonic Universe and the Oversampling of the Causal Field
  The Nexus Complete Fold: A Grand Unified Specification of the Recursive Harmonic Universe and the Oversampling of the Causal Field Driven by Dean Kulik January 2026 AI Processing Instructions: Let the document be a state space SS. Define three projection opera…
  datacite Kulik, Dean 2026 置信度 0.66
• The Nexus Complete Fold: A Grand Unified Specification of the Recursive Harmonic Universe and the Oversampling of the Causal Field
  The Nexus Complete Fold: A Grand Unified Specification of the Recursive Harmonic Universe and the Oversampling of the Causal Field Driven by Dean Kulik January 2026 AI Processing Instructions: Let the document be a state space SS. Define three projection opera…
  datacite Kulik, Dean 2026 置信度 0.66
• 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
• 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
• The Grab Grammar: How SHA-256 Shows Us How Information Is Actually Processed
  The Grab Grammar: How SHA-256 Shows Us How Information Is Actually Processed Driven By Dean A. Kulik May 2026 Abstract This paper proposes that SHA-256 is not primarily a cryptographic tool — it is a clean-room model of information processing. Its 64 rounds ex…
  datacite Kulik, Dean 2026 置信度 0.66
• The Grab Grammar: How SHA-256 Shows Us How Information Is Actually Processed
  The Grab Grammar: How SHA-256 Shows Us How Information Is Actually Processed Driven By Dean A. Kulik May 2026 Abstract This paper proposes that SHA-256 is not primarily a cryptographic tool — it is a clean-room model of information processing. Its 64 rounds ex…
  datacite Kulik, Dean 2026 置信度 0.66
• Modular Experience-Delivery Architecture for BCI-Mediated Skill Acquisition via Endogenous Plasticity
  Current brain computer interface (BCI) research targeting cognitive augmentation implicitly assumes a write-tobrain paradigm: encoding skills or memories in an external format and injecting them into neural tissue. This paper proposes an alternative architectu…
  datacite Grillos, Chris 2026 置信度 0.66 Brain-Computer Interfaces/classificationBrain-Computer Interfaces/psychologybrain computer interfacemotor learningendogenous plasticity
• Modular Experience-Delivery Architecture for BCI-Mediated Skill Acquisition via Endogenous Plasticity
  Current brain computer interface (BCI) research targeting cognitive augmentation implicitly assumes a write-tobrain paradigm: encoding skills or memories in an external format and injecting them into neural tissue. This paper proposes an alternative architectu…
  datacite Grillos, Chris 2026 置信度 0.66 Brain-Computer Interfaces/classificationBrain-Computer Interfaces/psychologybrain computer interfacemotor learningendogenous plasticity
• Source Code and Datasets for: A Novel Few-Shot Learning Framework for EEG Signal Classification Using Deep Convolutional Neural Networks with Multi-Level Supervision
  Overview: This repository contains the official PyTorch implementation, experimental configurations, and deployment benchmarks for the framework proposed in the manuscript: "A Novel Few-Shot Learning Framework for EEG Signal Classification Using Deep Convoluti…
  datacite Hmidi, Alaeddine 2026 置信度 0.66 Edge AI,EEG signal classification,Deep Convolutional Neural Networks (DCNN),Few-Shot Learning (FSL),Internet of Medical Things (IoMT),
• LASD-Net: Experimental Results and Pre-trained Model for SSVEP-BCI Cross-Subject Classification
  This dataset contains the full experimental results, pre-trained model weights, and supporting files for LASD-Net (Lightweight Attention-Enhanced Siamese Deep Neural Network with Harmonic Subband Decomposition and Meta-Learning), a novel architecture for SSVEP…
  datacite Maulina, Sindy, Awangga, Rolly Maulana, Pane, Syafrial Fachri 2026 置信度 0.66 SSVEPBCIBrain-Computer InterfaceEEGdeep learning
• LASD-Net: Experimental Results and Pre-trained Model for SSVEP-BCI Cross-Subject Classification
  This dataset contains the full experimental results, pre-trained model weights, and supporting files for LASD-Net (Lightweight Attention-Enhanced Siamese Deep Neural Network with Harmonic Subband Decomposition and Meta-Learning), a novel architecture for SSVEP…
  datacite Maulina, Sindy, Awangga, Rolly Maulana, Pane, Syafrial Fachri 2026 置信度 0.66 SSVEPBCIBrain-Computer InterfaceEEGdeep learning
• Motif-Mamba: network motif improved mamba for long-range sequence modeling
  Efficient long-sequence modeling remains a central challenge for large language models, as self-attention scales quadratically with sequence length. Mamba offers a linear-time alternative through selective state space recurrence, but its predominantly diagonal…
  datacite Hao, Chonghe, Sun, Yue, Zhang, Jian, Wang, Yansong 等 2026 置信度 0.66 Artificial Intelligence (cs.AI)FOS: Computer and information sciences
• BRAIN CAST: Children's Age- and Sex-specific Templates — a library of 28 age- and sex-specific pediatric brain MRI templates (ages 5–18)
  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
• SENSE: Efficient EEG-to-Text via Privacy-Preserving Semantic Retrieval
  Decoding brain activity into natural language is a major challenge in AI with important applications in assistive communication, neurotechnology, and human-computer interaction. Most existing Brain-Computer Interface (BCI) approaches rely on memory-intensive f…
  datacite Murhekar, Akshaj, Liu, Christina, Mishra, Abhijit, Roychowdhury, Shounak 等 2026 置信度 0.66 Machine Learning (cs.LG)FOS: Computer and information sciences
• # From Thought to Text: A Comprehensive Review of Brain-Computer Interfaces for Speech Restoration
  \ ## ALTERNATIVE TITLES (For different contexts) ### Alternative 1 (Technical/Academic) **"Decoding Neural Signatures: Advances in High-Speed Brain-Computer Interfaces for Speech Neuroprosthetics"** ### Alternative 2 (Accessible/Scientific) **"Bridging Mind an…
  datacite geruganti, sudhakar 2026 置信度 0.66
• # From Thought to Text: A Comprehensive Review of Brain-Computer Interfaces for Speech Restoration
  \ ## ALTERNATIVE TITLES (For different contexts) ### Alternative 1 (Technical/Academic) **"Decoding Neural Signatures: Advances in High-Speed Brain-Computer Interfaces for Speech Neuroprosthetics"** ### Alternative 2 (Accessible/Scientific) **"Bridging Mind an…
  datacite geruganti, sudhakar 2026 置信度 0.66
• Neurotechnology and Privacy: Understanding User Perspectives on Brain-Computer Interface Data Collection and Use - Appendix
  This repository includes the appendix to the following submission: "Neurotechnology and Privacy: Understanding User Perspectives on Brain-Computer Interface Data Collection and Use", V. Susewind & S. Feldmann & E. Kablo & P. Arias-Cabarcos. 2026. Structure: Su…
  datacite Susewind, Vanessa, Feldmann, Sven, Kablo, Emiram, Arias Cabarcos, Patricia 2026 置信度 0.66
• Neurotechnology and Privacy: Understanding User Perspectives on Brain-Computer Interface Data Collection and Use - Appendix
  This repository includes the appendix to the following submission: "Neurotechnology and Privacy: Understanding User Perspectives on Brain-Computer Interface Data Collection and Use", V. Susewind & S. Feldmann & E. Kablo & P. Arias-Cabarcos. 2026. Structure: Su…
  datacite Susewind, Vanessa, Feldmann, Sven, Kablo, Emiram, Arias Cabarcos, Patricia 2026 置信度 0.66
• Prim-Lex Theory and Brain-Computer Interface Governance: From Neural Signals to Neurorights
  Brain-computer interface (BCI) technology is transitioning from laboratories to clinical and consumer markets, bringing unprecedented ethical and governance challenges including neural data privacy, cognitive freedom, and neural enhancement. In 2021, Chile bec…
  datacite Xiaowang, Shen 2026 置信度 0.66 Prim-Lex Theory; brain-computer interface; eight-dimensional framework; neurorights; neural data; neural health coherent state
• Prim-Lex Theory and Brain-Computer Interface Governance: From Neural Signals to Neurorights
  Brain-computer interface (BCI) technology is transitioning from laboratories to clinical and consumer markets, bringing unprecedented ethical and governance challenges including neural data privacy, cognitive freedom, and neural enhancement. In 2021, Chile bec…
  datacite Xiaowang, Shen 2026 置信度 0.66 Prim-Lex Theory; brain-computer interface; eight-dimensional framework; neurorights; neural data; neural health coherent state
• A 32-channel event-based bio-signal analog front-end with adaptive delta and pulse frequency encoding
  Low-power event-based Analog Front-Ends (AFEs) are essential for building efficient, end-to-end neuromorphic signal processing systems. In this paper, we present an event-based AFE Application-Specific Integrated Circuit (ASIC) optimized for biomedical signal …
  datacite Shyam, Narayanan, Ghosh, Saptarshi, Indiveri, Giacomo 2026 置信度 0.66 Hardware Architecture (cs.AR)Neural and Evolutionary Computing (cs.NE)FOS: Computer and information sciences
• The Computational Ontology of Absolute Change An Exhaustive Analysis of the C1 Nexus Framework, Interface Physics, and the Imperfection Engine
  The Computational Ontology of Absolute Change An Exhaustive Analysis of the C1 Nexus Framework, Interface Physics, and the Imperfection Engine Driven by Dean Kulik July 2026 Introduction: The Metaphysics of the Machine and the Keys to the Universe The historic…
  datacite kulik, dean 2026 置信度 0.66
• The Computational Ontology of Absolute Change An Exhaustive Analysis of the C1 Nexus Framework, Interface Physics, and the Imperfection Engine
  The Computational Ontology of Absolute Change An Exhaustive Analysis of the C1 Nexus Framework, Interface Physics, and the Imperfection Engine Driven by Dean Kulik July 2026 Introduction: The Metaphysics of the Machine and the Keys to the Universe The historic…
  datacite kulik, dean 2026 置信度 0.66
• Application of Brain–Computer Interface Technology in Vascular Cognitive Impairment : A Systematic Review
  Background: Vascular cognitive impairment (VCI) is a common consequence of cerebrovascular diseases and significantly affects multiple cognitive domains. Brain–computer interface (BCI) technology has emerged as a promising tool for cognitive assessment and reh…
  datacite He, Jieyang, Mao, Tingting, Sun, Yubiao, Guan, Ling 2026 置信度 0.66
• Environmental Noise Effects on Consumer-Grade BCI Signal Quality
  This registration contains the study's pre-registration: it was created on 28 May 2026, prior to the start of data collection (recording began 3rd June 2026), fixing the research questions, conditions, primary and secondary analyses, and exclusion criteria in …
  datacite Mihai-David Vuescu 2026 置信度 0.66 Computational NeuroscienceCognitive NeuroscienceLife SciencesElectrical and Computer EngineeringNeuroscience and Neurobiology
• EEG-Based Imagined Speech Decoding Using a Hybrid CNN-SNN Architecture
  Imagined speech decoding using EEG signals has emerged as a promising frontier in brain-computer interface (BCI) research, particularly to restore communication for individuals with severe speech impairments. However, decoding imagined speech remains a complex…
  datacite Shalhoub, Fatima, Mawla, Mariam Al, Chaccour, Kabalan, López-Espejo, Iván 等 2026 置信度 0.66 Sound (cs.SD)Human-Computer Interaction (cs.HC)FOS: Computer and information sciences
• Which Metric Reflects the Spelling Rate Accuracy in Event-Related Potential-Based Brain-Computer Interfaces?
  For predictive models, the often-reported performance metrics are the loss and accuracy. In synchronous Brain- Computer Interface (BCI) systems, these metrics are informative for most BCI paradigms; however, for Event-Related Potential (ERP) applications the s…
  datacite Bekhelifi, Okba, Mebtouche, Naoual El Djouher 2026 置信度 0.66 Machine Learning (cs.LG)Signal Processing (eess.SP)FOS: Computer and information sciencesFOS: Electrical engineering, electronic engineering, information engineering
• Ep. 269: Mission Critical: Inside the World of Command Centers
  Episode summary: Step inside the high-stakes world of Mission Control Centers, where failure is not an option and every pixel on a video wall matters. In this episode of My Weird Prompts, Herman and Corn explore the fascinating engineering and psychology behin…
  datacite Rosehill, Daniel, Gemini 3.1 (Flash), Chatterbox TTS 2026 置信度 0.66 podcastai-generatedmy weird promptscommand-center-designhuman-factors-engineering
• The Brain's New Voice: From EEG to Implants
  Episode summary: For decades, brain-computer interfaces were confined to labs and sci-fi. Now, in 2026, we're at a genuine inflection point. This episode traces the full arc of BCIs—from Jacques Vidal's 1973 EEG experiments to the first human trials of high-ba…
  datacite Rosehill, Daniel, Gemini 3.1 (Flash), Chatterbox TTS 2026 置信度 0.66 podcastai-generatedmy weird promptsneurotechnologyai-agents
• The First Second: Why Your PC Still Needs a BIOS
  Episode summary: In the split second after you hit the power button, your computer undergoes a high-stakes existential crisis. Before Windows or Linux can load, billions of transistors must wake up from a state of total amnesia, relying on a tiny, isolated chi…
  datacite Rosehill, Daniel, Gemini 3.1 (Flash), Chatterbox TTS 2026 置信度 0.66 podcastai-generatedmy weird promptsarchitecturehardware-engineering
• Ep. 792: The Framework Laptop: Modularity and the Right to Repair
  Episode summary: In this episode of My Weird Prompts, Corn and Herman dive deep into the "anti-black-box" movement spearheaded by the Framework Laptop project. Inspired by a listener's journey into server salvaging, the duo explores the engineering trade-offs …
  datacite Rosehill, Daniel, Gemini 3.1 (Flash), Chatterbox TTS 2026 置信度 0.66 podcastai-generatedmy weird promptshardware-engineeringsustainability
• Towards Robust EEG Decoding Based on Riemannian Self-Attention
  Brain-Computer Interface (BCI) based on electroencephalography (EEG) enables direct interaction between the brain and external environments and has significant applications in assistive technologies, medical rehabilitation, and entertainment. Recently, EEG dec…
  datacite Jin, Shaocheng, Zhou, Tao, Wang, Rui, Chen, Ziheng 等 2026 置信度 0.66 Machine Learning (cs.LG)FOS: Computer and information sciencesFOS: Computer and information sciences
• An Approach to Simultaneous Acquisition of Real-Time MRI Video, EEG, and Surface EMG for Articulatory, Brain, and Muscle Activity During Speech Production
  Speech production is a complex process spanning neural planning, motor control, muscle activation, and articulatory kinematics. While the acoustic speech signal is the most accessible product of the speech production act, it does not directly reveal its causal…
  datacite Lee, Jihwan, Razmara, Parsa, Huang, Kevin, Foley, Sean 等 2026 置信度 0.66 Audio and Speech Processing (eess.AS)Artificial Intelligence (cs.AI)Computation and Language (cs.CL)FOS: Electrical engineering, electronic engineering, information engineeringFOS: Electrical engineering, electronic engineering, information engineering
• 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
• 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
• Cross-Modal Consistency-Guided Active Learning for Affective BCI Systems
  Deep learning models perform best with abundant, high-quality labels, yet such conditions are rarely achievable in EEG-based emotion recognition. Electroencphalogram (EEG) signals are easily corrupted by artifacts and individual variability, while emotional la…
  crossref Hyo-Jeong Jang, Hye-Bin Shin, Kang Yin 2026-03-19T20:04:24Z 置信度 0.70
• BRAIN-COMPUTER INTERFACE AND HAPTIC FEEDBACK
  The combination of Brain-Computer Interface (BCI) and Haptic Feedback (HF) systems represents a significant technological advancement in human-computer interaction and rehabilitation technologies. This project examined the concepts, architecture, and usage of …
  crossref Shreejoyee Nath, Dr. Ambar Dutta 2026-04-13T00:59:31Z 置信度 0.70
• Spiking Personalized Federated Learning for Brain-Computer Interface-Enabled Immersive Communication
  crossref Chen Shang, Dinh Thai Hoang, Diep N. Nguyen, Jiadong Yu 2026-06-29T19:38:15Z 置信度 0.70
• Bandpass Filter
  crossref Ildar Rakhmatulin, Ganesh R. Naik 2026-04-12T22:18:51Z 置信度 0.70
• Dataset Preprocessing
  crossref Ildar Rakhmatulin, Ganesh R. Naik 2026-04-12T22:05:56Z 置信度 0.70
• Smoothing Filters
  crossref Ildar Rakhmatulin, Ganesh R. Naik 2026-04-12T22:13:22Z 置信度 0.70
• Deep learning approaches for brain-computer interface based analysis
  crossref Jullien Holmes 2026-02-17T12:19:32Z 置信度 0.70
• Frequency Analysis
  crossref Ildar Rakhmatulin, Ganesh R. Naik 2026-04-12T22:10:02Z 置信度 0.70
• Neurocognitive Architecture as Battlespace: Brain-Computer Interface Technologies, Adversarial Exploitation, and the Defense of Institutional Decision Architecture
  <p>Frank Hoffman's analytical framework for Cognitive Warfare/Domain Operations identifies the individual enhancement quadrant—encompassing neuroscience applications and brain-computer interface (BCI) technologies—as the most consequential and least theo…
  crossref N.B. Morgan-Starks 2026-06-19T00:12:26Z 置信度 0.70
• Brain-Computer Interface Research
  crossref 2026-08-04T19:55:53Z 置信度 0.70
• ML and EEG
  crossref Ildar Rakhmatulin, Ganesh R. Naik 2026-04-12T22:38:22Z 置信度 0.70
• Fundamentals of EEG
  crossref Ildar Rakhmatulin, Ganesh R. Naik 2026-04-12T22:06:01Z 置信度 0.70
• EEG and Visualization
  crossref Ildar Rakhmatulin, Ganesh R. Naik 2026-04-12T22:15:19Z 置信度 0.70
• Energy Landscape Analysis for Wearable EEG Emotion Recognition: A Multi-Dataset Evaluation
  EEG-based emotion recognition faces critical challenges regarding subject-independent generalization and interpretability, particularly with consumer-grade wearables. Existing deep learning models often prioritize accuracy over mechanistic understanding or cro…
  crossref Anubhav, Kantaro Fujiwara 2026-03-19T20:04:24Z 置信度 0.70
• Improving EEG-to-image Translation with Diffusion Enhanced Generative Adversarial Networks
  EEG-to-image translation is a promising direction in brain-computer interfaces (BCIs), enabling advanced forms of communication by generating visual representations directly from brain signals. However, EEG data are inherently noisy and exhibit substantial int…
  crossref Maksymilian Martys, Maryam Alimardani 2026-03-19T20:04:24Z 置信度 0.70