hiyenwong/ai_collection - 17ページ

computation-aware-kalman-neural-dynamics

Computation-Aware Kalman Filtering with Model Selection for Neural Dynamics - solving scale-imbalanced neural data analysis

原文の言語: 英語

computational-linguistics-brain-perspective

Computational neuroscience perspective on linguistics and human brain relationship. Bridging theoretical linguistics with empirical neural data using formal computational models. Triggers: linguistics, brain, computational neuroscience, language, cognitive…

原文の言語: 英語

computational-neuroscience-in-llm-era

Computational neuroscience methodology enhanced by large language models. Covers LLM-based neural data analysis, brain signal interpretation, computational modeling with AI, and neuro-symbolic approaches. Use when working with LLMs in neuroscience, neural…

原文の言語: 英語

confidence-dynamics-early-stop

早停策略技能 - 利用中间答案的置信度动态来决定何时终止推理，适用于大推理模型的长链式思维生成。基于论文 Early Stopping for Large Reasoning Models via Confidence Dynamics (arXiv 2604.04930)。激活关键词: 早停, early stop, confidence dynamics, reasoning stop, 推理终止, overthinking prevention, 防止过度思考。

原文の言語: 中国語

confirmation-bias-quantum-probability

Quantum probability framework modeling confirmation bias as optimal evidence selection in sequential hypothesis testing. Use when analyzing confirmation bias, sequential evidence sampling, active inference, quantum probability models of cognition, binary…

原文の言語: 英語

congestion-aware-axonal-delay-snn

Congestion-Aware Dynamic Axonal Delay for Spiking Neural Networks. Replaces static per-synapse delays with input-dependent dynamic delays that adapt to network activity patterns, reducing delay parameters while improving temporal task performance. Activation:…

原文の言語: 英語

congestion-aware-delay-snn

Congestion-Aware Dynamic Axonal Delay mechanism for Spiking Neural Networks. Decomposes delay into channel-wise static base delay + global activity-conditioned shift. Reduces delay parameters by ~50% while improving accuracy on temporal tasks. Source:…

原文の言語: 英語

conjugacy-based-similarity-analysis

Conjugacy-based Similarity Analysis (CSA) methodology for comparing dynamical systems in neuroscience and ML. Addresses limitations of Dynamical Similarity Analysis (DSA) by restricting alignments to state-space bijections rather than arbitrary orthogonal…

原文の言語: 英語

connectivity-distributions-neural-populations

Identifying neural connectivity distributions from population recordings using low-rank recurrent neural networks (lrRNNs). Addresses the degeneracy problem where multiple connectivity structures generate identical dynamics. Provides mechanistic…

原文の言語: 英語

connectome-constrained-neural-network

Connectome-Constrained Neural Network (CCNN) methodology for brain-inspired AI. Integrates biological structural connectivity (connectome) into artificial neural network architectures to improve generalization and biological plausibility. Activation:…

原文の言語: 英語

connectome-genetic-environmental-architecture

Methodology for decomposing functional connectome variance into genetic and environmental components using extended ACE/ADE twin models with explicit measurement error modeling. Reveals hierarchical community structure in genetic and environmental influences.

原文の言語: 英語

connectome-wiring-statistical-dynamics-separation

Separating wiring-specific from statistical control of dynamics in a complete connectome. Analysis of larval Drosophila brain showing coarse statistics set dynamical regime while specific wiring determines activity routing.

原文の言語: 英語

connectome-wiring-statistics-control-dynamics

Separating wiring-specific from statistical control of dynamics in complete connectomes - clarifying which connectome-based claims rest on wiring alone

原文の言語: 英語

consciousness-usk-framework

意识作为罕见自我知识（USK）框架。基于部分信息分解（PID）的意识理论框架，将意识定义为系统对自身携带的协同信息，仅在子系统联合中存在且被分解破坏。适用于意识研究、信息论、脑网络分析、LLM对齐评估。触发词：consciousness, USK, synergistic information, Partial Information Decomposition, IIT, GWT, HOT, 意识, PIRD

原文の言語: 複数言語

conservative-adaptive-rank-quantum-kinetics

Conservative adaptive rank methodology for quantum kinetic simulations — ACA SVD with Fermi-Dirac reconstruction preserving discrete macroscopic invariants near machine precision.

原文の言語: 英語

conserved-kinematic-bci-zeroshot

零样本手写脑机接口解码方法。研究运动皮层是否通过共享运动学基元的组合来表示手写动作，提出基于运动学预测和模板匹配的两阶段零手写字母解码框架。适用于BCI解码、运动皮层表征、零样本学习、iBCI。触发词：零手写BCI、运动学表征、手写解码、运动原语、运动皮层组合编码、BCI recalibration、kinematics prediction, zero-shot BCI, handwriting BCI, motor cortex representation

原文の言語: 英語

conserved-kinematic-zero-shot-bci

Conserved Kinematic Representations for Zero-Shot Decoding in Handwriting BCIs. Use when: researching brain-computer interfaces for handwriting decoding, zero-shot neural decoding, conserved kinematic primitives, motor cortex representation, intracortical BCI…

原文の言語: 英語

constraint-preserving-quantum-mixers

Constraint-preserving quantum mixer patterns for combinatorial optimization on NISQ hardware. Covers XY-mixer vs Pauli-X mixer selection criteria, Trotterized Adiabatic Evolution (TAE), compressed AQC-QAOA initialization, and QUBO formulation strategies. Use…

原文の言語: 英語

constraint-relax-then-tighten

约束先放后紧的方法论。核心思想：先放宽约束条件证明解的存在性，然后逐步收紧约束，逼近原始问题。适用于复杂约束系统的控制和规划问题。触发词：约束放松、约束收紧、feasibility、存在性证明、约束控制、constraint relaxation、progressive tightening、约束规划。

原文の言語: 中国語

context-reconfiguration-sparse-temporal

Mechanistic analysis of joint sparse coding and temporal dynamics as the neural basis for context reconfiguration. Combines mouse mPFC recordings with computational network analysis to show how sparsity reduces cross-context interference while temporal…

原文の言語: 英語

context-selective-multimodal-memory

Human-inspired context-selective multimodal memory architecture for social robots. Combines hippocampal-inspired memory consolidation with context-dependent retrieval across visual, auditory, and textual modalities. Use when building embodied AI agents,…

原文の言語: 英語

contextual-quantum-neural-stock-prediction

Contextual quantum neural network methodology for multi-asset stock price prediction using quantum batch gradient update (QBGU) and quantum multi-task learning (QMTL) with share-and-specify ansatz.

原文の言語: 英語

contextual-role-object-geometry

Contextual Role Modulates Object Representational Geometry in the Human Brain. fMRI study showing how object representations are dynamically remapped based on contextual role (action target vs passive element), with double dissociation between action…

原文の言語: 英語

continual-learning-spiking-transformer

CATFormer: When Continual Learning Meets Spiking Transformers With Dynamic Thres - Spiking transformer architecture for continual learning. Activation triggers: continual, learning, spiking, neuroscience, SNN.

原文の言語: 英語

continual-robot-policy-variational-neural-dynamics

Continual robot policy learning framework using Variational Neural Dynamics. Combines analytical physics prior with neural residual for unmodeled effects. Recurrent encoder infers hidden conditions from recent interaction. Policy learning via differentiable…

原文の言語: 英語

contrastive-on-policy-thinking

CopT methodology for LLM reasoning - answer-first thinking with continuous embedding contrastive verifiers and dynamic KL-based reliability estimation for efficient agentic reasoning

原文の言語: 英語

contrastive-semantic-projection-neuron-labeling

Contrastive Semantic Projection (CSP) for faithful neuron labeling in deep networks using contrastive examples. Two-stage pipeline with VLM-based candidate generation and CLIP-based label assignment. Improves interpretability and explanation faithfulness.…

原文の言語: 英語

contravariance-theory-strong-alignment

Contravariance Theory methodology — formal proof that minimal DNN solutions to sufficiently hard tasks exhibit strong alignment: weak alignment of representations guarantees strong alignment of privileged axes, and alignment zippers up the network hierarchy,…

原文の言語: 英語

conv-delay-learning-snn

Combining convolution and delay learning in recurrent spiking neural networks. Methodology for joint learning of synaptic weights and synaptic delays using modified STDP for enhanced spatiotemporal pattern recognition. Keywords: convolutional SNN, delay…

原文の言語: 英語

convolution-delay-learning-snn

Combines convolutional recurrent connections with DelRec delay learning mechanism in recurrent spiking neural networks. Achieves 99% parameter savings and 52x faster inference vs standard recurrent SNN while maintaining accuracy on audio classification.…

原文の言語: 英語

copilot-assisted-second-thought-bci

Copilot-Assisted Second-Thought Framework for EEG-to-robot motion decoding. Uses LLMs as copilot to refine motor kinematics predictions from EEG signals. Improves BCI decoding accuracy through iterative refinement. Activation: BCI, brain-computer interface,…

原文の言語: 英語

copilot-cli

GitHub Copilot CLI - Terminal-native AI coding agent with autopilot mode, plan mode, and delegated tasks. Use when user mentions copilot cli, copilot terminal, or copilot autopilot.

原文の言語: 英語

core-brain-lesion-segmentation

Concept-Reasoning Expansion framework for continual brain lesion segmentation in MRI. Combines visual perception with structured medical concepts to handle pathological heterogeneity and prevent catastrophic forgetting. Activation: brain lesion segmentation,…

原文の言語: 英語

core-brain-network-covid

[TODO: Complete and informative explanation of what the skill does and when to use it. Include WHEN to use this skill - specific scenarios, file types, or tasks that trigger it.]

原文の言語: 英語

core-brain-network-ood

CORE (Confounding Robustness Enhancement) framework for out-of-distribution generalization in brain network analysis. Addresses site effects and covariate confounding via causal decoupling. Use when: building cross-site classifiers, dealing with scanner/site…

原文の言語: 英語

core-cross-site-ood-brain-network

CORE (Cross-site OOD Robust brain nEtwork) framework for brain network learning across unseen sites. Addresses cross-site out-of-distribution degradation in fMRI graph-based learning through site-aware confounder decoupling, transient pathway dynamics…

原文の言語: 英語

corteg-eeg-ecog-cross-modality

CORTEG: Cross-modality transfer framework that adapts pretrained scalp-EEG foundation models to intracranial ECoG recordings. Combines EEG FM backbone with electrode-aware KNNSoftFourier spatial adapter, dual-stream tokenizer (low-frequency + high-gamma), and…

原文の言語: 英語

cortex-continual-learning-ftn

Functional Task Networks (FTN) - cortex-inspired parameter isolation for unsupervised continual learning without catastrophic forgetting. Uses dendrite-like masking over network subpopulations. Triggers: continual learning, cortex-inspired, functional task…

原文の言語: 英語

cortical-geometry-wiring-rnn-inductive-bias

Harnessing cortical geometry, wiring, and function as inductive biases for recurrent neural networks — biologically grounded RNNs using MICrONS connectomics data (spatial coordinates, anatomical connectivity, functional relationships) to achieve superior…

原文の言語: 英語

cortical-microcircuit-information-flux

Simulation-based reverse engineering methodology for analyzing whether cortical microcircuits are structurally organized to optimize information flux. Covers information flux quantification via mutual information, Recurrence Resonance mechanisms,…

原文の言語: 英語