hiyenwong/ai_collection - 65페이지

synaptic-motifs-mean-field-dynamics

Mean-field theory linking microscale synaptic motifs to macroscale neural population dynamics. Phenomenological framework integrating connectivity, synaptic transmission, plasticity, and heterogeneity.

원문 언어: 영어

synaptic-motifs-mean-field

Mean-field theory linking microscale synaptic motifs to macroscopic heterogeneous population dynamics. Bridges synaptic-resolution connectomics with nonlinear neural dynamics via low-rank mean-field equations. Applicable to RNN analysis, neural population…

원문 언어: 영어

syndrome-resampling-qec

Syndrome resampling methodology for enhancing quantum error correction thresholds. Increases QEC thresholds of any decoder and suppresses logical errors without additional hardware by biasing syndrome averages towards most likely syndromes. Establishes…

원문 언어: 영어

synthetic-biological-intelligence

Synthetic Biological Intelligence (SBI) methodology — engineered systems where living Biological Neural Networks (BNNs) are interfaced with hardware/software for task-oriented information processing. Combines organoid technology, MEAs, neuromorphic computing,…

원문 언어: 영어

texture-interpolation-visual-perception

Texture Interpolation for Visual Perception

원문 언어: 영어

thermal-equilibrium-connectome

Algebraic quantum model where brain functions emerge as thermal equilibrium states of the connectome. Uses KMS formalism and C. elegans connectome. arXiv:2408.14221

원문 언어: 영어

topo-omni-brain-topographic-multimodal

Deep topographic multimodal model (Topo-Omni) for discovering functionally selective brain regions with contiguous spatial organization across visual, auditory, and language/cognitive modalities.

원문 언어: 영어

topo-omni-deep-topographic-multimodal

Topo-Omni deep topographic multimodal model for discovering functionally selective brain regions across visual, auditory, and language processing streams. Activation: topographic model, multimodal brain model, cortical organization, brain regions discovery.

원문 언어: 영어

topological-effective-connectivity-hodge

Information-theoretic framework coupling Hodge decomposition with lead-lag mutual information for directed brain network analysis - separates feed-forward drive, feedback loops, and cyclic flow around topological holes.

원문 언어: 영어

topological-sensitivity-connectome-constraints

Topological sensitivity analysis of connectome-constrained neural networks. Studies how network topology affects dynamical behavior and sensitivity to perturbations in brain connectome models. Applicable to robust brain dynamics analysis and lesion studies.

원문 언어: 영어

topology-dependent-polychronous-neuronal-groups

Topology-Dependent Emergence of Polychronous Neuronal Groups using Recurrence-Plot characterization. Small-world topology as structural optimum for polychronization with label-free PNG identification via sparse-dot-product Recurrence Plot framework.

원문 언어: 영어

traced-activation-cascade-analysis

TRACED: Activation Cascade Root-Cause Analysis

원문 언어: 영어

trajectory-controlled-invariants

Trajectory-based computation of controlled invariant sets for linear discrete-time systems and MPC. Use when computing maximal controlled invariant sets, designing MPC without terminal sets, or needing recursive feasibility guarantees. Keywords: controlled…

원문 언어: 영어

trajectory-geometry-transformer-representations

Transformer 表征轨迹几何分析方法论 - 将计算神经科学的几何工具应用于 Transformer 可解释性研究，无需探测即可分析表征动力学

원문 언어: 중국어

transcranial-photobiomodulation-insomnia-eeg

Transcranial photobiomodulation (tPBM) therapy for insomnia using EEG biomarkers. Prefrontal cortex near-infrared light stimulation targeting prefrontal hypoactivity and hyperarousal model. Pilot study with college students using EEG spectral analysis and…

원문 언어: 영어

treatment-conditioned-diffusion-neurodegenerative-progression

Treatment-Conditioned Diffusion framework for forecasting neurodegenerative disease progression via high-fidelity brain state prediction. Conditions generative process on DaTscan images and levodopa equivalent daily dose. Activation: neurodegenerative,…

원문 언어: 영어

unifying-von-neumann-hpc-neuromorphic-ebbrains

统一冯诺依曼HPC与神经形态计算的EBRAINS工作流框架 - 透明跨平台执行SNN，trigger_words: neuromorphic computing. spiking neural network. SNN. HPC. EBRAINS. SpiNNaker. cross-platform. containerization. NESTML

원문 언어: 중국어

universal-object-representations-vision

Decomposition methodology for identifying universal vs model-specific dimensions in vision model representations across 162 diverse models. Universal dimensions are more interpretable, driven by conceptual image properties, and better predict macaque IT…

원문 언어: 영어

user-as-engram-hippocampal-memory-architecture

大脑启发式记忆架构方法论 - 将用户记忆分离为内容层（海马体式 engram）和技能层（新皮层式共享 adapter），实现高效个人化 LLM

원문 언어: 중국어

v1-digital-twin-latent-probing

Multi-level representational probing framework for digital twins of mouse V1. Systematically probes latent representations in neural activity-predicting models across three levels: (i) linear decodability from controlled visual probes, (ii) latent-unit tuning…

원문 언어: 영어

v1-digital-twin-probing

Beyond Neural Activity Prediction: Probing Latent Representations in Mouse V1 Digital Twins. Systematic multi-level probing framework for evaluating latent representations in sensory cortex digital twins, across linear decodability, latent-unit tuning, and…

원문 언어: 영어

vae-quantum-embedding

Variational Autoencoder (VAE) framework for learning task-specific quantum embeddings of classical data. Compresses high-dimensional datasets (including ImageNet) into compact quantum representations (e.g., 13-qubit) while remaining reconstructable through a…

원문 언어: 영어

valence-bond-embedding-quantum-chemistry

Valence bond embedding methodology for mapping deep quantum chemistry computations onto shallow quantum circuits, reducing NISQ resource requirements.

원문 언어: 영어

variational-phasor-circuits-bci

Variational Phasor Circuits (VPC) for phase-native Brain-Computer Interface classification using continuous S1 unit circle manifold with trainable phase shifts and unitary mixing

원문 언어: 영어

vector-space-of-cycles-harmonic-flow

Variational framework for statistical inference on cyclic interactions in directed networks. Directed interactions as edge flows on simplicial complex evolved under energy-minimizing dynamics, yielding low-dimensional cycle space for recurrent organization.…

원문 언어: 영어

verievol-verifiable-data-construction

Verifiable Evol-Instruct framework for scaling multimodal mathematical reasoning. Type-aware evolution + HTV-Agent verifier with offline hypothesis-test falsification ensures reliable reward labels at scale.

원문 언어: 영어

visae-neuroscience-concept-circuits-vit

ViSAE (Visual Sparse Autoencoder for Interpretability) - Neuroscience-motivated concept circuits framework for interpreting and steering Vision Transformers. Uses 64K images with 16K visually grounded concept vocabulary, achieving 20x efficiency improvement…

원문 언어: 영어

warmstart-dl-unit-commitment

Multi-Stage Warm-Start (MSWS) deep learning framework for Unit Commitment optimization. Combines neural network warm-starting with MILP constraints to accelerate power grid scheduling. Use for unit commitment, power system optimization, energy scheduling, and…

원문 언어: 영어

weight-geometry-functional-memory

Universal organizational regularity showing weight geometry governs functional memory in complex systems across biological, ecological, social, and technological domains. Activation: weight geometry, functional memory, complex systems, interaction strength,…

원문 언어: 영어

weighted-partitions-interval-restrictions

Exact formulas and bivariate master identity methodology for weighted partitions with interval restrictions. Use when: deriving generating functions for restricted partition functions, proving partition coefficient bounds via Rogers-Fine evaluation,…

원문 언어: 영어

whisper-ecog-alignment

Whisper-ECoG alignment methodology mapping speech foundation model representations to human cortical activity using interpretable time-resolved neural encoding

원문 언어: 영어

winner-take-all-bottleneck-disentangled

Winner-Take-All (WTA) bottlenecks enforce disentangled symbolic representations in multi-task learning. Shows WTA circuits (a core cortical motif) within deep networks extract categorical latent factors where single neurons encode single abstract features…

원문 언어: 영어

worldkv-world-memory

WorldKV methodology from arXiv:2605.22718 (May 2026). Training-free KV-cache management for autoregressive video diffusion world models: World Retrieval (evicted KV-chunk reuse) + World Compression (token pruning via key-key similarity). Use when: world model…

원문 언어: 영어

yana-neuromorphic-simulation-hardware-gap

YANA: Bridging the Neuromorphic Simulation-to-Hardware Gap. Framework for seamless translation of SNN algorithms from simulation to neuromorphic hardware deployment. Activation: YANA, simulation-to-hardware, neuromorphic deployment, SNN hardware gap.

원문 언어: 영어

measuring-llms-impact-n-day-exploits

Anthropic research (Jun 8, 2026) — Methodology for measuring large language model impact on N-day exploit development and vulnerability exploitation timelines.

원문 언어: 영어

prediction-markets-option-arbitrage

Prediction market pricing benchmark methodology — comparing prediction market prices (Polymarket) with option-implied risk-neutral probabilities from centralized exchanges (Binance/Deribit). Use when analyzing prediction market efficiency, cross-venue price…

원문 언어: 영어

qiskit-llm-code-migration

LLM+RAG methodology for automated Qiskit code migration across versions. Uses taxonomy-based RAG to reduce hallucinations and improve code reliability in Quantum Software Engineering (QSE). Activation: qiskit migration, quantum code migration, QDK version…

원문 언어: 영어

sparse-linear-expert-transformer

Sparsely gated tiny linear experts (sgatlin) methodology — replacing transformer feedforward layers with networks of sparsely-gated linear neurons for improved compute efficiency and interpretability. Covers isoflop comparison, linear expert removal of…

원문 언어: 영어

ulps-uncertainty-aware-llm-policy-shaping

Uncertainty-Aware LLM-Guided Policy Shaping for sparse-reward RL. Integrates calibrated LLM into RL training loop with uncertainty-modulated behavioral guidance.

원문 언어: 영어

uncertainty-aware-llm-guided-policy-shaping

Uncertainty-aware LLM-guided policy shaping for sparse-reward RL using A* oracle trajectories and entropy-based blending with MC dropout uncertainty estimation.

원문 언어: 영어