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Sponsored AI Networking Cookbook: Practical recipes for AI-assisted network automation and development AI Networking Cookbook: Practical recipes for AI-assisted network automation and development

Author

Ming Dong

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Open access Oct 2026

Circuit Topology Shapes the Mapping between Excitatory-Inhibitory Input Composition and Aperiodic Spectral Slope

Connectome- and morphology-constrained framework is introduced that embeds electron-microscopy–reconstructed cortical microcircuits in near-critical propagation dynamics and generates field potentials under fixed synaptic, membrane, and forward-modeling parameters, defining the level-specific interpretability of spectr...

Zi-Liang Cai, Yuan Chang, Xin Yu et al. · 0 citations
Sep 2026

Calibration-Efficient Dual-Frequency SSVEP-BCI for Head-Mounted AR-Based UAV Control.

Steady-state visual evoked potential (SSVEP)-based brain-computer interfaces (BCIs) integrated with head-mounted augmented reality (AR) enable wearable, intuitive interaction, yet two fundamental issues limit practical adoption: (i) the role of different dual-frequency stimulation paradigms in head-mounted optical see-...

Yu-Heng Han, Yufeng Ke, Ming Dong · 0 citations
Review Open access Sep 2026

Blood–Brain Barrier Regulation: Evolving From Classic Strategies to Electrochemical Ion and Reactive Oxygen Species Control

To transcend limitations, the synergistic convergence of electrochemical platforms with machine learning–guided predictive analytics, near‐infrared (NIR) phototherapy, and biocompatible nanocarrier‐mediated delivery systems constitutes a strategic imperative in next‐generation neurotherapeutic development.

Xiao-Kang Hu, Cai-Yu Liu, Mei-Jun Pang et al. · 0 citations
Dataset Open access Jul 2026

A multi-paradigm and longitudinal EEG dataset including the “sixth-finger” and “affected-hand” motor imagery of stroke patients

Motor imagery-based brain-computer interface (MI-BCI) applications in stroke rehabilitation aim to match brain activity with real-time feedback, thereby establishing closed-loop neural pathways and providing a basis for evaluating patients’ neuroplasticity changes. Thus, constructing EEG datasets under MI paradigms is...

Zhuang Wang, Yuan Liu, Shuai-Fei Huang et al. · 0 citations
Open access Aug 2026

Toward Sustainable Cross-Time Affective Brain–Computer Interfaces: Explicit Modeling and Structural Calibration of Temporal Variability

A multi-level dynamic integrated perception network algorithm (MDIN), which explicitly models temporal variability through a three-layer framework: a temporal-spatial-spectral joint perception module, an adaptive dynamic perception matrix for feature capture, and a discriminative alignment strategy for cross-domain con...

Feifan Yan, Bo Zhang, Tao Wang et al. · 0 citations
Open access Aug 2026

ERD Full-Process Longitudinal Trend and Pre-Post Motor Recovery Under BCI-Controlled Sixth-Finger Neurofeedback Intervention in Stroke Patients: An Exploratory Single-Arm Study

Motor imagery-based brain-computer interface (MI-BCI) is used in stroke rehabilitation to match brain activity with contingent feedback to establish closed-loop pathways and provide a measure of neuroplasticity changes in patients. However, most studies assessed neural function only at pre- and post-train, thereby long...

Zhuang Wang, Yuan Liu, Shuai-Fei Huang et al. · 0 citations

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