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SkillsMP は hiyenwong/ai_collection から 4,114 件の skill を収集しています。skill を開くとソースと詳細を確認できます。
hiyenwong/ai_collection収集済み skill 4,114 件中 40 件を表示しています。
Topology-Dependent Emergence of Polychronous Neuronal Groups - Recurrence-plot characterization of how network topology (small-world, scale-free, random) influences the formation and stability of polychronous neuronal groups in spiking neural networks.
原文の言語: 英語
Factorized Low-Rank RNN (FacRNN) framework for uncovering independent neural latent dynamics and connectivity. Group-wise independence among latent dimensions with variational autoencoder formulation and partial correlation penalty. Disentangles interpretable…
原文の言語: 英語
Mixture-of-Experts (MoE) routing using optimal transport for balanced expert utilization. Region-graph Sinkhorn routing for WSI classification and spatial data. Use when: MoE load balancing, expert routing optimization, spatial token assignment, entropic…
原文の言語: 英語
[TODO: Complete and informative explanation of what the skill does and when to use it. Include WHEN to use this skill - specific scenarios, file types, or tasks that trigger it.]
原文の言語: 英語
[TODO: Complete and informative explanation of what the skill does and when to use it. Include WHEN to use this skill - specific scenarios, file types, or tasks that trigger it.]
原文の言語: 英語
[TODO: Complete and informative explanation of what the skill does and when to use it. Include WHEN to use this skill - specific scenarios, file types, or tasks that trigger it.]
原文の言語: 英語
Temporal structure analysis of ecological networks for understanding robustness and collapse mechanisms. Methods for modeling plant-pollinator networks with seasonal turnover, analyzing temporal dynamics, detecting bistable regimes, and predicting…
原文の言語: 英語
Stability-preserving system identification using Koopman operator lifting with ISS-LMI constraints. Enables data-driven modeling of nonlinear systems (especially Persidskii-class and electromechanical systems) while guaranteeing input-to-state stability. Use…
原文の言語: 英語
Stability-goal obfuscation tradeoff methodology for autonomous agents. Addresses the problem that Lyapunov-stable goal-directed trajectories are inherently legible to Bayesian observers, leaking intent. Combines control Lyapunov functions (CLFs),…
原文の言語: 英語
arXiv paper search skill - search academic papers by keywords, authors, categories. Supports time filtering, category filtering, and paper detail retrieval. Activation: arxiv search, paper search, 论文搜索, search papers, arxiv 论文.
原文の言語: 英語
[TODO: Complete and informative explanation of what the skill does and when to use it. Include WHEN to use this skill - specific scenarios, file types, or tasks that trigger it.]
原文の言語: 英語
End-to-end academic research workflow using knowledge graphs. Searches papers from arxiv/web, imports to KG database, generates embeddings, runs graph algorithms (PageRank, vector search), and extracts patterns for skill creation. Use for: automated research…
原文の言語: 英語
End-to-end academic research workflow using knowledge graphs. Searches papers from arxiv/web, imports to KG database, generates embeddings, runs graph algorithms (PageRank, Louvain, vector search), and extracts patterns for skill creation. Use for: automated…
原文の言語: 英語
Comprehensive review of physical neural computing substrates beyond silicon: memristive devices, photonic circuits, mechanical metamaterials, microfluidic networks, and chemical reaction systems. Use when designing neuromorphic hardware, evaluating physical…
原文の言語: 英語
Quantum-enhanced EEG signal analysis and neural network foundation model skill. Implements quantum-classical hybrid architectures for brain signal processing, combining quantum encoding layers with classical EEGNet for improved feature extraction from…
原文の言語: 英語
Quantum Neural Network Architecture Search (QNAS) skill for designing efficient quantum neural networks on NISQ hardware. Uses multi-objective optimization (NSGA-II) to balance accuracy, runtime efficiency, and circuit cutting overhead. Apply when designing…
原文の言語: 英語
Mitigating barren plateaus in Quantum Neural Networks (QNN) via AI-driven framework and advanced initialization strategies. Research skill for NISQ-era quantum machine learning optimization, covering gradient variance analysis, submartingale-based methods,…
原文の言語: 英語
Hybrid classical-quantum neural network development skill. Provides workflows for transfer learning, quantum error mitigation, and noise-resistant quantum neural networks. Use when working with quantum machine learning (QML), variational quantum circuits…
原文の言語: 英語
Design and optimize quantum neural network architectures based on Lie algebra truncation and parameterized quantum circuit theory. Use when working with quantum machine learning tasks: (1) Designing QNN architectures for classification/regression, (2)…
原文の言語: 英語
量子神经科学跨学科分析方法。将量子计算方法应用于神经科学问题，包括量子神经网络(QNN)用于脑信号分析、量子图神经网络(QGNN)用于脑连接、量子算法优化神经动力学建模。激活关键词: quantum neuroscience, quantum neural network, quantum EEG, quantum brain, 量子神经科学, 量子脑科学, QNN neuroscience.
原文の言語: 中国語
First systematic fairness benchmark for Spiking Neural Networks (SNNs) addressing three dimensions of realism: data bias, spurious feature leakage, and hardware effects. Evaluates fairness-performance trade-offs under resource constraints using four…
原文の言語: 英語
[TODO: Complete and informative explanation of what the skill does and when to use it. Include WHEN to use this skill - specific scenarios, file types, or tasks that trigger it.]
原文の言語: 英語
STARS (Spike Tail-Aware Relational Synthesis) - plug-and-play method for ANN-to-SNN Data-Free Knowledge Distillation (DFKD). Augments BN-guided synthesis with Relational Consistency Alignment and Tail-Aware Regularization. Achieves up to 4.6% improvement on…
原文の言語: 英語
Thermodynamic framework for analyzing multiplex neural connectomes, linking synaptic and neuropeptidergic signaling layers. Applied to the complete C. elegans connectome to reveal functional specialization and hierarchical organization through energy-based…
原文の言語: 英語
Transport-based mean field theory for spiking neural network population dynamics. Derives approximate macroscopic firing rate evolution from Fokker-Planck transport solutions rather than steady-state assumptions. Use when: studying SNN population
原文の言語: 英語
[TODO: Complete and informative explanation of what the skill does and when to use it. Include WHEN to use this skill - specific scenarios, file types, or tasks that trigger it.]
原文の言語: 英語
[TODO: Complete and informative explanation of what the skill does and when to use it. Include WHEN to use this skill - specific scenarios, file types, or tasks that trigger it.]
原文の言語: 英語
Analysis and research synthesis skill for quantum-enhanced medical imaging papers. Use when working with papers on quantum computing for medical image reconstruction (MRI/CT/PET), quantum sensors for diagnostics (NV centers, quantum dots), or quantum…
原文の言語: 英語
Quantum machine learning data loading optimization - efficient quantum state preparation, amplitude encoding, and data embedding techniques for QML. Use when: (1) Loading classical data into quantum circuits for QML, (2) Optimizing quantum feature maps and…
原文の言語: 英語
Quantum neuromorphic computing framework combining quantum gates, memristive synapses, and quantum cognition for decision making. Use when: (1) analyzing quantum brain models, (2) implementing quantum neural networks, (3) studying quantum cognition…
原文の言語: 英語
Quantum computing portfolio optimization skill. Uses QAOA, quantum annealing, and hybrid quantum-classical methods for financial portfolio optimization with higher-order moments (skewness, kurtosis) and real-world constraints (cardinality, turnover limits).…
原文の言語: 英語
Systematic workflow for repository reorganization when structure limits are hit (GitHub 1000-entry truncation, directory bloat). Covers problem identification, domain-based classification, git history preservation, and migration execution. Use when: (1)…
原文の言語: 英語
Intent-based cryptographic API design for post-quantum cryptography (PQC) migration — cryptographic agility patterns for large software portfolios.
原文の言語: 英語
Quantum data mining methodologies for information science — frequent itemset mining, quantum pattern discovery, and quantum-enhanced analytics on NISQ devices.
原文の言語: 英語
Quantum network routing and entanglement distribution using surface code error correction — reliable quantum communication over noisy channels.
原文の言語: 英語
Bilinear gating methodology linking dendritic coincidence detection to motor primitive encoding. Burst fraction encodes goal information selectively, bilinear gate G(g)·Y(s) enables zero-shot generalization in RL agents. Activation: bilinear gating, motor…
原文の言語: 英語
QUIET: Edge-centric framework for targeted brain network synchronization. Integrates structural controllability with functional connectivity to identify energy-efficient synchronization pathways. Identifies 'quiet highways' - edges that are structurally…
原文の言語: 英語
SC-TauPath 结构连接归因框架用于映射阿尔茨海默病 Tau 传播路径。结合网络扩散模型增强 MLP 与梯度×输入归因，生成多尺度路径图谱（骨干边、高流量路由、枢纽 ROI），验证 Braak 分期解剖学。
原文の言語: 中国語
本体约束多 LLM 假设评分方法论。使用专家本体（36 个概念）约束本地多 LLM 理事会，对跨学科文献（如预测编码神经科学）进行假设支持评分，生成可审计的分歧测量和定量假设空间映射。
原文の言語: 中国語
Quantum algorithm for discovering and sampling rare events without prior knowledge of which events are rare. Achieves optimal quantum scaling with rarity threshold and quadratic speedup for heavy-tailed systems.
原文の言語: 英語