hiyenwong/ai_collection - Page 23

evolvable-graph-diffusion-ot

可进化图扩散最优传输脑连接组建模方法（EDT-PA）。结合结构-功能连接对齐和高阶依赖建模，用于脑疾病分类。触发词：脑连接组、最优传输、optimal transport、结构-功能对齐、高阶依赖、brain connectome、EDT-PA。

Source text: Chinese

evolved-instruction-following-inductive-bias

Evolutionary inductive bias enabling rapid instructed task learning (RITL) in humans - bridges cognitive science, neuroscience, and LLM instruction tuning

evotrace-evolutionary-coding-analysis

EvoTrace and EvoReplay methodology for diagnosing what evolutionary coding agents actually evolve. LLM-as-judge edit annotation, replay-based search state reconstruction, and controlled intervention analysis for agentic evolutionary search beyond final…

exclusion-statistics-quantum-heat-engines

Exclusion statistics as a thermodynamic resource in quantum heat engines — using particle statistics interpolation (fermion/boson/anyon) as a design parameter for quantum thermal machines. From arXiv:2606.19310.

experiment-as-code-labs

Experiment-as-Code (EaC) Labs — a declarative stack for AI-driven scientific discovery. Encodes experiments as declarative configurations compiled to device-level APIs, with three-layer architecture: specification (standardization/reproducibility), execution…

expert-analysis-evaluation-quantum-portfolio

Expert Analysis Evaluation framework bridging computational optimization and practical viability in quantum portfolio optimization. Financial professionals assess economic soundness and market feasibility of quantum-optimized portfolios beyond algorithmic…

explainable-gnn-eeg-neurological

Explainable GNN for EEG Neurological Evaluation

Source text: Chinese

explicit-operator-neural-computation

Mathematical correspondence between state space models (SSMs) and exactly solvable nonlinear oscillator networks. Bridges modern neural architectures with theoretical physics models for understanding end-to-end neural computation.

exploiting-symmetry-quantum-reservoir-computing

Exploiting Symmetry in Quantum Reservoir Computing (QRC) methodology — observable-orbit completion aligns encoding, dynamics, measurement, and readout so symmetry-induced inductive bias is visible in the measured feature map; validated on spin-ring,…

exploratory-predictive-representation-geometry

探索性行为塑造预测性表征几何的方法论。通过主动感知框架研究探索-利用平衡如何影响内部表征组织。探索性行为使表征更具空间结构性，更好地保留迷宫转换结构。激活词：探索性学习、exploratory behavior、predictive coding、predictive representations、active sensing、latent space geometry、行为-学习循环。

Source text: Chinese

extended-predictive-coding-exponential-family

Extended Predictive Coding framework using exponential-family distributions for variational free-energy minimization. Captures biological network properties: nonlinearity, heterogeneity, positive firing rates. Biologically plausible local plasticity rules.…

extreme-quantum-cognition

Extreme Quantum Cognition Machines (EQCM) — quantum learning architectures for deliberative decision making tolerant to noisy and contradictory training data. Combines quantum extreme learning, quantum reservoir computing, and dynamical attention mechanisms…

eyebrain-lateralization-pupil

EyeBrain methodology for classifying left and right brain lateralization activity using pupil diameter and fixation duration. Non-invasive cognitive state detection via eye-tracking. Triggers: eyebrain, brain lateralization, pupil diameter, fixation duration,…

face-perception-inverse-generative

Human face perception methodology using controversial stimulus pairs to distinguish between theoretically distinct DNN models. Shows that human face perception is shaped by inverse-generative mechanisms that infer latent causes of facial appearance and…

families-linear-algebra

Framework for Advanced (Multi)Linear Infrastructure in Engineering and Science. Dense linear algebra and tensor operations framework extending BLAS/LAPACK. Use when: linear algebra library design, BLAS implementation, LAPACK algorithms, tensor operations,…

fase-semantic-entropy-code

Fast Adaptive Semantic Entropy (FASE) methodology for quantifying uncertainty in multi-agent code generation. Approximates functional correctness via minimum spanning tree of structural and semantic dissimilarity graphs, achieving 25% improvement in Spearman…

fast-efficient-coding-criticality

Fast efficient coding and sensory adaptation in gain-adaptive recurrent networks. Theoretical framework showing gain modulation in recurrent circuits reconciles adapter-repulsion and prior-attraction under a unified efficient-coding objective.

fault-tolerant-ancilla-preparation-bch

Efficient fault-tolerant ancilla preparation for quantum BCH codes via cyclic symmetry. Two-stage approach using non-fault-tolerant preparation + entanglement distillation with cyclic symmetry exploitation. arXiv: 2605.19471.

fc-guided-band-selection-bci

Functional Connectivity-guided spectral band selection for Motor Imagery Brain-Computer Interfaces (MI-BCIs). Ranks frequency bands using phase-based connectivity (wPLI, PLV, PLI) across sensorimotor channels to identify subject-specific discriminative bands,…

fc-guided-band-selection-mi-bci

Functional connectivity-guided spectral band selection for motor imagery BCI. Uses phase-based connectivity (wPLI, PLV, PLI) to identify optimal EEG frequency bands for CSP-based decoding instead of heuristic filter banks. Activation: BCI band selection,…

fcn-llm-brain-network-understanding

Integrating LLMs with functional connectivity networks for brain analysis. Activation: LLM-brain integration, functional connectivity, graph-text alignment.

fdnml-cognitive-fatigue-detection

Fractional Dynamical Networks-based Machine Learning (FDNML) for EEG cognitive fatigue detection using coupled fractional-order differential equations, multifractal analysis, and Wasserstein distance metrics. Activation: cognitive fatigue, fractional…

feature-visualization-brain-encoder

Feature visualization as interpretability technique for brain encoder models. Uses gradient ascent on predicted activation for target ROIs to qualitatively evaluate whether encoders have internalized functional brain organization. Activation: feature…

federated-brain-trajectory-gnn

联邦多轨迹图神经网络预测婴儿脑连接演化。FedGmTE-Net++框架，支持多模态/多轨迹预测，在数据稀缺环境下聚合多家医院的学习，保护数据隐私。包含辅助正则化和两步插补策略。触发词：婴儿脑发育、脑连接预测、联邦学习、图神经网络、多轨迹预测、数据稀缺、infant brain、federated learning、trajectory prediction、GNN。

Source text: Chinese

federated-quantum-medical

Federated quantum learning methodology for privacy-preserving medical diagnosis. Combines federated learning (FL) with quantum neural networks (QNN) for early disease detection without sharing sensitive patient data across institutions. Use when: building…

fermionic-quantum-processor

Programmable fermionic quantum processors with globally controlled lattices. Universal fermionic quantum processing framework for neutral atoms in optical lattices, supporting Fermi-Hubbard type models with time-dependent control over tunneling and…

ferroelectric-snn-eeg

Personalized Spiking Neural Networks with Ferroelectric Synapses for EEG Signal Processing. Covers deployment of SNNs on ferroelectric memristive hardware for adaptive EEG-based motor imagery decoding, mixed-precision training with device-aware updates, and…

find-skills

Helps users discover and install agent skills when they ask questions like "how do I do X", "find a skill for X", "is there a skill that can...", or express interest in extending capabilities. This skill should be used when the user is looking for…

finite-temp-quantum-krylov

Finite-temperature quantum Krylov method for computing thermal properties of quantum many-body systems from real-time overlaps. Use when analyzing quantum many-body systems at finite temperatures, computing thermal observables, or avoiding thermal state…

firing-rate-nn-mpc-implementation

Firing rate neural network implementations of Model Predictive Control (MPC) for real-time control applications. Activation: firing rate MPC, neural network control, model predictive control, real-time neural control, rate-coded neural MPC.

first-in-human-quantum-entanglement-imaging

First-in-human quantum entanglement imaging methodology using J-PET plastic scintillator scanner. Measures polarization correlations of annihilation photons from positron-electron annihilation in vivo for clinical diagnostics. Use when: quantum PET imaging,…

fisher-glasses-tail-certified-metrology

Tail-certified quantum metrology for quenched sensors — Fisher-zero integrability transition, no-go theorem on averaged Fisher data, universal design laws (safe windows, nondegenerate portfolios, Fisher reserves, Fisher-cut criteria). Activation: quantum…

fits-interpretable-spiking-neuron

FiTS (Frequency Selectivity and Temporal Shaping) interpretable spiking neuron model. Factorizes temporal computation into Frequency Selectivity and Temporal Shaping within each neuron. Use when: spiking neural networks, interpretable neurons, temporal…

fits-interpretable-spiking-neurons

FiTS (Frequency Selectivity and Temporal Shaping) spiking neuron methodology for interpretable SNN temporal processing. Factorizes neuron-level temporal computation into Frequency Selectivity (FS) and Temporal Shaping (TS) modules. FS parameterizes target…

fixed-point-compositionality-low-rank-gluing

固定点组合性低秩胶合理论框架。研究结构模块化如何支持抑制主导阈值线性网络的功能组合性，引入低秩胶合规则实现不动点的组合性。

Source text: Chinese

fixed-point-compositionality-low-rank-gluings

Mathematical framework for compositional dynamics in threshold-linear networks via low-rank gluing rules. Use when studying modular network assembly, fixed point decomposition, compositional limit cycles, or engineering networks with predictable attractor…

flow-based-connectivity-distribution

Flow-based probabilistic inference for neural connectivity distribution. Uses normalizing flows to model the distribution of possible brain connectomes, enabling uncertainty quantification in connectivity estimation. Supports downstream tasks: network…

Source text: Chinese

flow-matching-brain-dynamics

Flow Matching with In-Context Priors for Out-of-Distribution Brain Dynamics — compositional conditional generation of neural time series using continuous normalizing flows, enabling zero-shot generalization to novel experimental conditions

flow-matching-in-context-brain-dynamics

Flow Matching with In-Context Priors for Out-of-Distribution Brain Dynamics methodology — per-timestep conditioned diffusion transformer for generating realistic fMRI during unseen cognitive tasks using compositional language and spatial priors.

flowedit-associative-memory-lifelong-pronunciation

FlowEdit introduces lifelong adaptation for frozen TTS models using Modern Hopfield Networks as content-addressable episodic memory, enabling pronunciation corrections without weight updates.