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O SkillsMP coletou 4.114 skills de hiyenwong/ai_collection. Abra uma skill para revisar a origem e os detalhes.
hiyenwong/ai_collectionMostrando 40 de 4.114 skills coletadas.
Modeling sequential cognitive states via population-level cortical dynamics using Universal Approximation Theorem to approximate heteroclinic cycles with neural field systems. Activation: heteroclinic cognitive states, sequential brain dynamics,…
Idioma do texto original: inglês
Heteroclinic dynamics with discrete neural-field equations for modeling sequential cognitive states. Uses Universal Approximation Theorem to approximate target heteroclinic dynamics by Amari-type neural-field systems. Activates: heteroclinic cycle, sequential…
Idioma do texto original: inglês
Heterogeneous assume-guarantee contract framework for co-design of layered control architectures. Decomposes safety-liveness specifications across discrete-time planning (MPC) and continuous-time safety layers using vertical refinement, timing compatibility,…
Idioma do texto original: inglês
分布式非凸复合优化的异构随机动量ADMM方法。通过节点自适应步长策略解耦算法稳定性与全局网络属性，实现任意连接拓扑下的鲁棒收敛。适用于分布式机器学习、联邦学习、网络优化。触发词：分布式优化、ADMM、随机优化、非凸优化、动量加速、异构网络、distributed optimization、stochastic ADMM、heterogeneous network。
Idioma do texto original: chinês
异质突触动力学建模方法论。基于现象学建模框架，整合连接性、突触传输、突触可塑性和突触异质性四个关键维度。适用于大规模脑网络模拟、突触模型实现、计算神经科学研究。触发词：突触动力学、异质性建模、突触可塑性、突触传输、计算神经科学、synaptic dynamics, heterogeneous synapses, computational neuroscience。
Idioma do texto original: chinês
Heterophily as a generative mechanism for self-organized synergistic interdependencies in adaptive networks. Explains how heterophily induces higher-order dependencies while weakening pairwise dependencies, enabling robust collective behavior. Trigger words:…
Idioma do texto original: inglês
Framework for rapidly inferring Hodgkin-Huxley (HH) biophysical parameters from extracellular multi-electrode array (MEA) measurements using differentiable biophysical simulation and simulation-based inference. Enables precise neurostimulation prediction…
Idioma do texto original: inglês
Hidden progress during overtraining in sensory cortex networks — discovering that overtrained neural networks continue learning useful representations even after apparent performance plateau, with implications for neuroscience and deep learning theory.…
Idioma do texto original: inglês
Hierarchical organization of critical brain dynamics. Studies how criticality signatures vary along anatomical hierarchy in brain systems using phenomenological renormalization group approaches on large-scale neuronal spiking data.
Idioma do texto original: inglês
Parallelized Hierarchical Connectome (PHC) framework for spatiotemporal recurrent spiking neural networks. Upgrades State-Space Models (SSMs) into spatiotemporal networks with biological constraints including Dale's Law, short-term plasticity, and…
Idioma do texto original: inglês
Parallelized Hierarchical Connectome (PHC) framework that upgrades temporal State-Space Models into spatiotemporal recurrent networks for brain connectivity modeling.. Activation: hierarchical connectome, state-space models, spatiotemporal.
Idioma do texto original: inglês
Hierarchical control design via approximate simulation relations (ε-gAAS). Enables abstraction-based controller synthesis for continuous-time nonlinear systems with formal error bounds and control refinement guarantees. Use when: (1) designing controllers for…
Idioma do texto original: inglês
Hierarchical control synthesis for continuous-time systems using epsilon-general Approximate Alternating Simulation (epsilon-gAAS) relations. Enables formal controller design with coarser abstractions while maintaining correctness guarantees. Use when: (1)…
Idioma do texto original: inglês
Hierarchical organization of critical brain dynamics. Analysis of how brain structure hierarchies interact with criticality hypothesis. Activation: hierarchical brain, critical dynamics, connectome hierarchy, brain criticality.
Idioma do texto original: Vários idiomas
Higher-order brain network analysis using topological signal processing. Captures circulatory and multi-node interactions beyond pairwise graph models.. Activation: higher-order networks, topological signal processing, brain connectomics.
Idioma do texto original: inglês
Methodology for extracting high-order functional brain network structures beyond pairwise connections under global constraints. Addresses theoretical limitations of pairwise FBN modeling. Activation: higher-order brain networks, beyond pairwise, global…
Idioma do texto original: inglês
Extracting interpretable higher-order topological features across multiple scales for Alzheimer's Disease classification using persistent homology. Captures connected components, cycles, and cavities from fMRI brain networks. Activation: higher-order…
Idioma do texto original: inglês
Biologically detailed extension of Hopfield/Marr auto-associative memory model for CA3 hippocampus. Implements ten populations (two asymmetric pyramidal subtypes, eight GABAergic interneurons) to study multi-attractor dynamics and stability effects in memory…
Idioma do texto original: inglês
Brain-inspired hierarchical world model using hippocampal-entorhinal (HPC-MEC) circuit for structure abstraction and generalization. Inverse model for structural extraction, HPC-MEC coupling for dissociating relational structures from episodic scenes. Based…
Idioma do texto original: inglês
HoloBrain and HoloGraph framework: modeling brain rhythms through coupled oscillatory synchronization and applying this principle to graph neural networks. Addresses GNN over-smoothing and enables reasoning on graphs through oscillatory dynamics.
Idioma do texto original: inglês
Homology-based morphometry methods for analyzing brain atrophy using topological data analysis. Activation triggers: homology morphometry, brain atrophy, topological neuroimaging, persistent homology brain, TDA neuroimaging
Idioma do texto original: inglês
Homology-based Morphometry (HBM) methodology for analyzing brain atrophy using persistent homology. Two complementary pipelines for quantifying multiscale geometric features of structural T1-weighted MRI scans: Pipeline 1 for regional thinning via Euclidean…
Idioma do texto original: inglês
Hormone-inspired Emotion Layer for Transformer language models (HELT / HormoneT5). Biologically-inspired architecture augmenting transformers with a Hormone Emotion Block simulating the endocrine system's role in emotional processing. Six continuous…
Idioma do texto original: inglês
Hot-starting methodology for quantum portfolio optimization using continuous relaxation to construct compact Hilbert space, reducing qubit requirements for QUBO formulations. Based on arXiv:2510.11153v1.
Idioma do texto original: inglês
Hot-starting methodology for quantum portfolio optimization — restricting search space to discrete solutions near the continuous optimum by constructing a compact Hilbert space, reducing qubit requirements.
Idioma do texto original: inglês
Chain-of-thought monitoring methodology for detecting misalignment in coding agents. GPT-5.4 Thinking monitors 99.9% of internal coding agent traffic. Defense-in-depth approach with layered controls. Use when implementing agent safety systems or building…
Idioma do texto original: inglês
Hybrid Quantum-Classical Neural Network (HQNN) methodology for medical image classification, specifically blood cell classification. Combines pre-trained classical backbone (ResNet-50) with variational quantum circuit for enhanced feature representation. Use…
Idioma do texto original: inglês
Hybrid Quantum Neural Network (HQNN) architecture for breast cancer thermographic classification. Integrates parameterized quantum circuits with multi-head attention and classical CNN layers for enhanced medical thermal pattern recognition.
Idioma do texto original: inglês
Expressibility-trainability trade-off analysis and multi-objective NAS framework for Hybrid Quantum Neural Networks (HQNNs) — reveals how classical components reshape quantum optimization landscapes and decouple trainability from PQC expressibility.
Idioma do texto original: inglês
Higher-Order Unconstrained Binary Optimization (HUBO) methodology for quantum optimization workflows. Compact binary encoding reduces qubit requirements vs QUBO but increases circuit depth via higher-order interaction terms. Use when formulating industrial…
Idioma do texto original: inglês
Behavioral benchmark and object-centricity analysis for self-supervised vision transformers. Uses two-dot same/different judgment task with 1020+ trials to measure human object grouping, and proposes Gram matrix alignment as a mechanism for improving…
Idioma do texto original: inglês
Hybrid ANN-SNN pipeline with local plasticity: couples pretrained ANN encoders with spiking classifiers using biologically-inspired local learning rules, bypassing end-to-backprop. Use when building energy-efficient spiking neural networks from pretrained…
Idioma do texto original: inglês
Learning Hybrid Biophysical Neuron Models with Neural ODEs — combining mechanistic biophysical models with machine learning for accurate and efficient neuron dynamics modeling
Idioma do texto original: inglês
Hybrid biophysical neuron modeling methodology combining conductance-based models with neural ODEs. Captures unknown ion channel kinetics while preserving mechanistic interpretability. Enables single-compartment reduction of multi-compartment models.
Idioma do texto original: inglês
Multi-dimensional mental health assessment using hybrid intelligent frameworks combining clinically validated screening tools, cognitive evaluation, and personality profiling with AI-driven decision support.
Idioma do texto original: inglês
Hybrid certificate methodology combining ECC with Post-Quantum Cryptography (PQC) for vehicular communication security. Covers SCMS pseudonym schemes, BKE compatibility, NIST-standardized PQC algorithms, and performance evaluation of RSA/ECC/PQC for vehicular…
Idioma do texto original: inglês
Hybrid classical-quantum diagnostic framework using QCNNs for multi-class medical image classification
Idioma do texto original: inglês
Design and evaluate hybrid quantum-classical machine learning pipelines. Covers NISQ-era variational quantum algorithms (VQAs), noise-aware pipeline design, correlation-guided quantum circuit construction, and classical-quantum benchmarking frameworks. Use…
Idioma do texto original: inglês
Design dataflow-based hybrid quantum-classical computing architectures. Combine remote quantum computers with cloud/distributed systems. Activation: hybrid quantum classical, quantum classical hybrid, 混合量子经典, dataflow quantum, quantum cloud computing.
Idioma do texto original: inglês
Hybrid quantum-classical physics-informed neural network (HQPINN) methodology for solving nonlinear PDEs. Integrates classical NN backbone with parameterized quantum circuits (PQC) to enrich solution representation for problems with sharp gradients, stiff…
Idioma do texto original: inglês