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SkillsMP ha recopilado 4114 skills de hiyenwong/ai_collection. Abre una skill para revisar su origen y sus detalles.
hiyenwong/ai_collectionMostrando 40 de 4114 skills recopiladas.
Modern systems engineering design patterns extracted from April 2026 research papers. Covers physics-informed state space models for control systems, runtime security frameworks for multi-agent systems, and generative modeling for multi-agent coordination.…
Idioma del texto original: inglés
Classification methodology for modular forms of rational weight satisfying the Kaneko-Zagier modular differential equation, using hypergeometric transformation and monodromy analysis.
Idioma del texto original: inglés
模块化忆阻器模型：具有突触样可塑性和易失性记忆特性。通过可重构的忆阻器阵列实现类突触动力学，支持在线学习和自适应权重更新。适用于神经形态硬件、边缘学习设备、存内计算。
Idioma del texto original: chino
Methodology for constructing and analyzing modular Nahm sums in number theory, including lift-dual operations and rank extensions
Idioma del texto original: inglés
Distributed compilation of Shor's algorithm on modular atomic quantum processors. Methodology for large-scale integer factorization across multiple quantum modules with optimized inter-module communication and intra-module clock rates. Use when: compiling…
Idioma del texto original: inglés
Module lattice security methodology for post-quantum cryptography. Covers unconditional verification of Weber's conjecture, Principal Ideal Problem solvability, Structured CVP Distance on the Log-Unit Lattice, Ring-LWE and Module-LWE security reductions, and…
Idioma del texto original: inglés
MōLe-Λ methodology for learning coupled-cluster response states. Extends Molecular Orbital Learning (MōLe) to predict full CCSD response state by jointly learning T and Λ amplitudes from localized Hartree-Fock orbitals. Provides CC-quality energies, forces,…
Idioma del texto original: inglés
Computational framework for analyzing vibronic relaxation channels in molecular spin qubits. Combines DFT, TD-DFT, and Redfield theory to predict T1 relaxation times and identify dominant decoherence pathways. Use when: analyzing molecular qubit coherence,…
Idioma del texto original: inglés
Perceptogram: visual reconstruction framework from monkey neural activity — decoding perceived images from primate visual cortex recordings using deep generative models. Activation: monkey visual reconstruction, perceptogram, primate neuroscience, visual…
Idioma del texto original: inglés
Disentangled motion control with causality reasoning for video generation. Use when: motion-controlled video generation, disentangled control systems, motion causality modeling, active-passive motion decomposition, camera-object motion separation,…
Idioma del texto original: inglés
Moving MRI (mMRI) methodology for imaging during large-scale motion. Core idea: Move subject and scanner (magnet, gradients, RF coil) as a single unit to minimize relative motion, enabling neuroimaging during movement. Demonstrates cryogen-free…
Idioma del texto original: inglés
MPC-RL integrated framework for autonomous driving in multi-agent scenarios. Combines Model Predictive Control's structured constraint handling with Deep Reinforcement Learning's adaptive behavior learning. Use for: autonomous vehicle control, multi-agent…
Idioma del texto original: inglés
MQT Compiler Collection - Future-proof quantum-classical compilation framework built on MLIR. Supports complex optimizations and HPC integration. Activation: quantum compiler, MQT, quantum-classical compilation, MLIR quantum, quantum circuit optimization.
Idioma del texto original: inglés
Spatiotemporal TDANN for modeling self-organized MT direction selectivity maps in the dorsal stream. Uses 3D ResNet with Momentum Contrast (MoCo) self-supervised learning and biological spatial loss to produce direction-selective pinwheel structures matching…
Idioma del texto original: inglés
Multi-Timescale Conductance Spiking Networks (MTC-SNN) — gradient-trainable spiking neural networks where neural dynamics emerge from shaping the I-V curve via fast, slow, and ultra-slow conductances. Enables tonic, phasic, and bursting firing regimes within…
Idioma del texto original: inglés
Multi-Timescale Conductance Spiking Networks (MTC-SN): A sparse, gradient-trainable SNN framework with rich firing dynamics for enhanced temporal processing. Uses fast/slow/ultra-slow conductances to shape I-V curves, enabling direct BPTT without surrogate…
Idioma del texto original: inglés
Multi-task EEG analysis framework using Low-Rank Adaptation (LoRA) for efficient adaptation of pre-trained models to multiple downstream tasks. Addresses EEG signal heterogeneity and task conflicts through task-specific low-rank decomposition. Activation:…
Idioma del texto original: inglés
多模态大语言模型预测小鼠社会优势行为的基准测试框架。MLLM分析原始行为视频预测优势等级。
Idioma del texto original: chino
Multi-objective genetic algorithm (NSGA-III) optimisation of Izhikevich neuron-based recurrent spiking neural networks for simultaneously matching neural firing rates and network oscillation frequencies. Based on arXiv:2605.25224 (May 2026). Use when studying…
Idioma del texto original: inglés
Multi-objective optimization methodology for quantum computing workflows, combining compilation strategy selection, noise suppression, and error-mitigation. Based on QBalance framework (arXiv: 2605.02966) and action-space engineering for RL-based circuit…
Idioma del texto original: inglés
Multi-objective genetic algorithm (NSGA-III) optimisation of spiking neural networks (RSNNs) to match neural firing rates and oscillation frequencies for computational neuroscience modeling.
Idioma del texto original: inglés
多可塑性协同脉冲神经网络训练方法论。结合多种突触可塑性机制（STDP、奖励调制、赫布学习）协同训练SNN，自适应机制分配。适用于脉冲神经网络、神经形态计算、低功耗AI。触发词：脉冲神经网络、SNN、多可塑性、STDP、突触可塑性、spiking neural network、multi-plasticity。
Idioma del texto original: chino
Multi-Plasticity Synergy for SNN Training
Idioma del texto original: chino
Multi-scale hypergraph learning (MuHL) methodology for high-order brain connectivity analysis beyond pairwise GNNs. Accepted to ICML 2026. Use for: brain network analysis, neurodegenerative disease classification (Alzheimer's, Parkinson's), higher-order…
Idioma del texto original: inglés
Multi-scale information geometry framework revealing the structure of mutual information in neural populations. A unique Riemannian representational geometry emerges from coarse-graining, extending Fisher information metric to capture encoding structure from…
Idioma del texto original: inglés
Multi-scale information geometry framework for analyzing neural population codes. Extends Fisher information metric across stimulus coarse-graining scales to reveal mutual information structure. Use when analyzing: (1) neural population coding geometry, (2)…
Idioma del texto original: inglés
Multi-source fMRI cognitive taskonomy framework using transfer learning across 23 HCP task states. Extends single-source to many-to-one task relations with Boolean Integer Programming for budget-constrained task allocation. Activation: fMRI taskonomy,…
Idioma del texto original: inglés
Multi-Timescale Conductance Spiking Networks (MTC-SNN) methodology for energy-aware temporal processing. Introduces gradient-trainable spiking neurons using fast/slow/ultra-slow conductances to shape I-V curves, enabling direct backpropagation through time…
Idioma del texto original: inglés
Multi-Timescale Conductance (MTC) Spiking Networks — gradient-trainable framework with rich firing dynamics for enhanced temporal processing. Conductance-based neuron model with fast/slow/ultra-slow timescales enables tonic, phasic, and bursting responses…
Idioma del texto original: inglés
Multi-view O-Information framework for analyzing higher-order brain interactions in fMRI data. Combines O-information measures with information bottleneck principles for psychiatric diagnosis. Includes O-information computation, Gaussian approximation, and…
Idioma del texto original: inglés
Multi-view O-Information framework for modeling higher-order brain interactions (HOIs) in fMRI data. Information-theoretic approach to psychiatric diagnosis using triadic and tetradic brain connectivity patterns. Keywords: O-information, higher-order…
Idioma del texto original: inglés
Higher-order brain interaction analysis using O-information and Multi-View Information Bottleneck for fMRI-based psychiatric diagnosis. Decomposes multivariate neural interactions into redundant and synergistic components across multiple brain views for…
Idioma del texto original: inglés
Game-theoretic framework extending Nash equilibrium to NeuroAI systems with internal computation. Multilevel Interactive Equilibrium (MIE) captures how neural learning dynamics, cognitive representations, and behavioral strategies mutually stabilize between…
Idioma del texto original: inglés
多模态脑连接分析框架，整合fMRI、DTI和sMRI数据。使用可解释图神经网络，通过掩码策略差异加权神经连接，实现跨模态数据融合。支持认知功能预测和解剖特征发现。触发词：多模态融合、脑连接、fMRI、DTI、sMRI、图神经网络、功能连接、结构连接、multimodal fusion、brain connectivity、functional connectivity、structural connectivity。
Idioma del texto original: chino
M3D-BFS: Multi-stage Dynamic Fusion Strategy for Sample-Adaptive Multi-Modal Brain Network Analysis. Combines Mixture-of-Experts (MoE) with multi-modal brain networks (structural and functional connectivity) through dynamic, sample-adaptive fusion. 3-stage…
Idioma del texto original: inglés
Optimal multiparameter estimation for quantum systems using the unified Cramér-Rao bound framework. Use when: (1) estimating functions of multiple parameters in quantum Hamiltonians, (2) designing quantum sensing protocols, (3) analyzing precision limits for…
Idioma del texto original: inglés
Multiplication-free spike-time learning algorithm for efficient on-chip SNN training on FPGA. Hardware-software co-design for low-power, event-driven neuromorphic computing. Keywords: SNN training, FPGA implementation, spike-time learning, neuromorphic…
Idioma del texto original: inglés
Unified framework for multi-scale brain dynamics analysis combining criticality scaling, fixed point compositionality, and representation diagnostics. Integrates renormalization group methods, inhibition-dominated network theory, and EEG foundation model…
Idioma del texto original: inglés
MV-BrainFM: Cross-view consistency learning for multi-view brain network foundation models. Activation: multi-view learning, brain networks, foundation models.
Idioma del texto original: inglés
Multi-view Information Bottleneck framework for modeling higher-order interactions (HOIs) in resting-state fMRI for psychiatric diagnosis. Captures complex brain dynamics beyond pairwise connectivity without predefined hyperedges.
Idioma del texto original: inglés