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hiyenwong/ai_collection수집된 skill 4,114개 중 40개를 표시합니다.
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.
원문 언어: 영어
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…
원문 언어: 영어
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…
원문 언어: 영어
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.
원문 언어: 영어
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…
원문 언어: 영어
Exact multipartite entanglement characterization using entanglement hyperlinks (EHLs) defined through the inclusion-exclusion principle.
원문 언어: 영어
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.…
원문 언어: 영어
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…
원문 언어: 영어
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…
원문 언어: 영어
De-individualizing fMRI signals via Mahalanobis whitening and Bures geometry — quantum-motivated dimensionality reduction for brain imaging
원문 언어: 영어
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.
원문 언어: 영어
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.
원문 언어: 영어
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…
원문 언어: 영어
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…
원문 언어: 영어
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…
원문 언어: 영어
GRAFT methodology for Transformer-based neural population activity modeling with gain-recalibrated adapters enabling cross-day BCI recalibration
원문 언어: 영어
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.…
원문 언어: 영어
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…
원문 언어: 영어
Hybrid Classical-Quantum pipeline for Alzheimer's classification — supervised β-VAE + quantum kernels + quantum feature maps
원문 언어: 영어
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…
원문 언어: 영어
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…
원문 언어: 영어
First theory-grounded framework for population-scale ANN-CANN hybridization, discovering functional bias-variance complementarity for stable visual object tracking
원문 언어: 중국어
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…
원문 언어: 영어
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…
원문 언어: 영어
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
원문 언어: 영어
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…
원문 언어: 영어
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.
원문 언어: 영어
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…
원문 언어: 영어
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.
원문 언어: 영어
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。
원문 언어: 판별 불가
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…
원문 언어: 영어
LLM-enhanced multi-target regression framework for decoding continuous emotion trajectories from brain fMRI using dynamic functional connectivity
원문 언어: 중국어
LongSpike fractional-order SSM for SNNs — enables efficient long-range dependency learning through fractional calculus while preserving sparse synaptic computation
원문 언어: 영어
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.
원문 언어: 영어
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…
원문 언어: 영어
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.…
원문 언어: 영어
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,…
원문 언어: 영어
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…
원문 언어: 영어
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,…
원문 언어: 영어
Physics-informed AI-driven inverse design framework for nonlinear metasurfaces using hybrid CNN-autoencoder architecture
원문 언어: 영어