Attachment representations in early childhood as independent endogenous driver of interbrain synchrony during remote cooperation. Novel Remote Partner-Belief Manipulation paradigm isolates attachment representations by manipulating partner-belief. EEG synchrony concentrated at P4 channel (right TPJ). Activation: attachment, interbrain synchrony, EEG hyperscanning, child-adult interaction, attachment representations, social neuroscience, partner-belief manipulation, early childhood, mother-child interaction, brain synchronization, attachment security, social-emotional development.
SHARP (Sleep-based Hierarchical Accelerated Replay) 方法论 — 睡眠启发的分层加速回放框架用于长程非平稳时序模式识别。受啮齿动物慢波睡眠中加速回放启发， 通过分离记忆模块和模式识别模块实现无反向传播的长程信用分配。适用于流式时序学习、 长程依赖建模、神经科学启发的 AI 架构。触发词：睡眠回放、加速回放、SHARP、 时序学习、长程依赖、流式学习、慢波睡眠、hierarchical replay
Inverse-engineering methodology for piston operations in trapped-ion quantum devices. One ion serves as classical piston driven by Coulomb interaction with quantum-controlled ion. Stationary state determined self-consistently. Inverse-engineering protocols enable precise control of classical ion motion. Provides route toward controlled piston dynamics in microscopic quantum devices.
Quantum fault tree analysis methodology using quantum computing. Extends classical reliability engineering fault trees to quantum domain. Identifies minimal cut sets in system reliability analysis using quantum algorithms. Applicable to safety-critical systems, cyber-physical systems, and quantum system reliability engineering.
Adaptive Hybrid Quantum-Classical Feature Fusion methodology for medical image classification. Addresses optimization asymmetries between quantum and classical paradigms using Temperature-Scaled Hybrid Fusion (TSHF), Dynamic Hybrid Fusion (DHF), and Static Hybrid Fusion (SHF) strategies. Use when designing hybrid quantum-classical ML pipelines for healthcare/medical imaging, especially when combining ResNet backbones with variational quantum circuits for diagnostic tasks.
Adaptive Spiking Neuron (ASN) methodology for vision and language modeling. Implements trainable membrane potential dynamics with adaptive firing mechanisms for efficient Spiking Neural Networks (SNNs). Activation: adaptive spiking neuron, ASN, spiking neural network vision language, SNN adaptive neuron, neuromorphic vision language model.
Adaptive Spiking Neuron (ASN) methodology for vision and language modeling. Trainable membrane potential dynamics, integer training + spike inference, NASN variant with normalization. Activation: adaptive spiking neuron, asn, nasn, trainable spiking neuron, integer training spike inference, general-purpose spiking neuron
Initialize projects with Agent-First methodology. Supports Codex, Claude Code, Qwen Code, GitHub Copilot, Gemini CLI. Generates AGENTS.md, tool-specific configs, and documentation structure.