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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。
Covariant quantum error correction methodology for quantum brain models. Evaluates CQEC purification protocols across radical-pair proteins with ab initio spin Hamiltonians, analyzing layer-specific coherence dynamics and T2 sensitivity.
原文の言語: 英語
DendriCL methodology for dendritic in-context learning in single-layer spiking neural networks. Shows that ICL requires neither attention, depth, nor inference-time plasticity: a single compartment with online-LMS dynamics is sufficient. Use when building…
原文の言語: 英語
Bio-inspired quantum neural network using Lipkin-Meshkov-Glick (LMG) Hamiltonian with synaptic-efficacy feedback for activity-dependent homeostatic control. Use when: studying quantum brain models, quantum neural networks with homeostasis, LMG Hamiltonian for…
原文の言語: 英語
DYSCO (Dynamics via Contrastive Learning) - Multi-view temporal contrastive learning for extracting governing equations from latent dynamics. Identifies dynamical systems from noisy high-dimensional observations with theoretical identifiability guarantees.
原文の言語: 英語
Quenching speculation in markets via entangled neural traders — prototype quantum stock market where entanglement between traders' valuations mitigates speculative busts before they emerge. RL agents with quantum-correlated qubit valuations learn to stabilize…
原文の言語: 英語
Exact multipartite entanglement characterization using entanglement hyperlinks (EHLs) defined through the inclusion-exclusion principle.
原文の言語: 英語
Extended predictive coding framework using exponential family distributions beyond Gaussian assumptions. Reveals biological neural network properties: nonlinearity, heterogeneity, biological plausibility. Maintains FEP-PC correspondence up to second cumulant.…
原文の言語: 英語
Beyond mutual information — extension profiles and shape functions of random variable pairs. Use when analyzing structural properties of joint distributions not captured by mutual information alone, connecting information theory to spectral graph theory, or…
原文の言語: 英語
Flow Matching with In-Context Priors for Out-of-Distribution Brain Dynamics — per-timestep conditioned diffusion transformer for generating realistic fMRI brain dynamics during unseen cognitive tasks. Activation: flow matching, fMRI generation, counterfactual…
原文の言語: 英語
De-individualizing fMRI signals via Mahalanobis whitening and Bures geometry — quantum-motivated dimensionality reduction for brain imaging
原文の言語: 英語
De-individualizing fMRI signals via Mahalanobis whitening and Bures geometry — methodology for distilling meaningful information from fMRI by treating data whitening as quantum-inspired state de-individualization using Bures distance.
原文の言語: 英語
Fractional quantum information methodology using Riemann-Liouville derivative formalism with memory effects. Covers quantum information measures in fractional quantum mechanics, generalized entropy measures, and non-Markovian dynamics.
原文の言語: 英語
Free Energy-Entropy Duality methodology for risk-sensitive reinforcement learning in continuous-time investment management. Reformulates benchmarked asset allocation as a linear-quadratic-Gaussian stochastic differential game under an equivalent probability…
原文の言語: 英語
Nonreversible gauge field methodology for Fokker-Planck dynamics — formulates stationary-density-preserving perturbations as gauge fields that deform relaxation spectra while leaving invariant state fixed. Connects supersymmetric Hamiltonians, non-Hermitian…
原文の言語: 英語
Generative optimization framework for quantum data embeddings. Uses energy-based generative learning to synthesize gate sequences that optimize embedding structures, with fidelity-based surrogate objectives and Wasserstein-distance bounds for diagnosing when…
原文の言語: 英語
GRAFT methodology for Transformer-based neural population activity modeling with gain-recalibrated adapters enabling cross-day BCI recalibration
原文の言語: 英語
GRAFT: Transformer-based neural population activity model with gain-recalibrated adapters for cross-day BCI recalibration. Separates reusable temporal dynamics from recalibratable neuron interface. Achieves state-of-the-art 0.3866 co-bps on NLB'21 MC Maze.…
原文の言語: 英語
Hard-core boson algebra for efficient quantum circuit simulation and synthesis. Provides natural representation of multi-qubit systems without sign corrections, with substantially improved execution times over IBM Qiskit, combined with genetic algorithms for…
原文の言語: 英語
Hybrid Classical-Quantum pipeline for Alzheimer's classification — supervised β-VAE + quantum kernels + quantum feature maps
原文の言語: 英語
Analysis framework for evaluating language model neural predictivity during naturalistic comprehension. Identifies heterogeneous brain-language alignment patterns across participants and brain regions, separating predictive usefulness from shared neural…
原文の言語: 英語
Quantum-enhanced displacement sensing using hot (thermal) quantum states without mandatory ground-state cooling. Identifies parity-selection and coherence mechanisms for maintaining sensitivity with mixed states, and formulates optimization comparing cooling…
原文の言語: 英語
First theory-grounded framework for population-scale ANN-CANN hybridization, discovering functional bias-variance complementarity for stable visual object tracking
原文の言語: 中国語
Hybrid biophysical neuron modeling combining Neural ODEs with conductance-based models. Embeds data-driven Neural ODE components into mechanistic neuron models, capturing unknown ion channel kinetics while preserving interpretability. Enables 10x…
原文の言語: 英語
Hybrid quantum-classical neural network architecture for sample-efficient topological phase recognition. Uses shallow parameterized quantum circuits for nonlocal measurement basis transformation, jointly trained with classical neural networks, reducing sample…
原文の言語: 英語
Hybrid quantum-classical neural network for quantum phase recognition - jointly trains shallow parameterized quantum circuit with classical neural network, reduces sample complexity by ~10x, distinguishes topological phases on superconducting hardware
原文の言語: 英語
Hyperbolic geometry framework for neural population activity in hippocampus. Modern Hopfield Network computes MMSE estimator, hyperbolic associative memory yields larger capacity than Euclidean models. ICML 2026 paper. Activation: hyperbolic geometry, neural…
原文の言語: 英語
Importance-Aware Quantum Convolutional Neural Network (IA-QCNN) with ring-topology for MGMT promoter methylation prediction in glioblastoma. Specialized quantum CNN architecture for medical biomarker prediction.
原文の言語: 英語
IQP (Instantaneous Quantum Polynomial-time) circuit methodology for near-term quantum optimization. Use when: designing IQP circuits for Hamiltonian optimization, analyzing connectivity-trainability trade-offs in variational quantum circuits, selecting…
原文の言語: 英語
IQP circuit connectivity-trainability trade-off analysis methodology for near-term quantum optimization — systematic investigation of how circuit topology affects optimization performance and gradient behavior in Instantaneous Quantum Polynomial-time circuits.
原文の言語: 英語
Mean-field chaos 的预测性理论框架。证明随机循环网络的确定性混沌可通过连续历史唯一预测未来,展开功率谱到 Krylov 状态空间暴露潜在确定性组织。区分微观敏感性和预测复杂性。
原文の言語: 判定不能
Krylov Mean-Field Chaos in Random Recurrent Networks - Deterministic prediction theory for individual trajectories in mean-field dynamics. Analytic nonlinearities with fast Fourier decay expose latent determinism via Krylov state space hierarchy. Krylov…
原文の言語: 英語
LLM-enhanced multi-target regression framework for decoding continuous emotion trajectories from brain fMRI using dynamic functional connectivity
原文の言語: 中国語
LongSpike fractional-order SSM for SNNs — enables efficient long-range dependency learning through fractional calculus while preserving sparse synaptic computation
原文の言語: 英語
Multi-Axial Projective Sphere (MAPS) methodology for geometrically visualizing higher d-valued quantum state-space of qudits. Extends Bloch sphere to qudits with n projectional intersecting axes.
原文の言語: 英語
MemoryVLA++ - Temporal modeling framework for VLA models with memory and imagination mechanisms for robotic manipulation. Includes working memory, perceptual-cognitive memory bank, world model for future state imagination, and diffusion action expert. Use…
原文の言語: 英語
Metastable Mind framework synthesizing Event Segmentation (ES) and Metastable Neural Activity (MNA) theories. Neural states as fundamental computational units with spatio-temporally nested hierarchy, predictive models, and modular processing boundaries.…
原文の言語: 英語
Mixed Potential approach for analyzing convergence of nonlinear RLC circuits with memristors using flux-charge analysis method (FCAM). Provides Lyapunov-like stability proofs for circuits with all four basic elements (resistors, inductors, capacitors,…
原文の言語: 英語
Second-order synaptic memory methodology using moiré superlattice quantum materials — demonstrates intrinsic electronic hysteresis and plasticity in twisted double bilayer graphene (tDBLG) without extrinsic charge-traps, enabling pure-carbon quantum synaptic…
原文の言語: 英語
Multi-source fMRI cognitive taskonomy framework using transfer learning for quantifying task relations. Extends single-source to multi-source transfer with masked reconstruction. Activation: fMRI taskonomy, cognitive task, transfer learning, brain encoding,…
原文の言語: 英語
Physics-informed AI-driven inverse design framework for nonlinear metasurfaces using hybrid CNN-autoencoder architecture
原文の言語: 英語