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SkillsMP는 hiyenwong/ai_collection에서 4,114개의 skill을 수집했습니다. skill을 열어 소스와 세부 정보를 확인하세요.
hiyenwong/ai_collection수집된 skill 4,114개 중 40개를 표시합니다.
BrainDINO: Brain MRI Foundation Model for generalizable clinical representation learning. Self-distilled foundation model trained on 6.6M unlabeled axial slices from diverse brain MRI datasets, generalizing across heterogeneous endpoints without task-specific…
원문 언어: 영어
BrainFuse - unified infrastructure integrating realistic biological neural modeling and core AI methodology. Supports differentiable biophysical neuron simulation, 3000x GPU acceleration for ion-channel dynamics, and neuromorphic hardware deployment.
원문 언어: 영어
BrainJanus 统一脑模型方法论 - 整合脑、视觉和语言的首个统一框架，支持 any-to-any 生成（图像/文本到脑信号编码，脑信号到图像/文本解码）。使用 Unified Brain Tokenizer 和 All-in-One 自回归架构实现多模态脑信号处理。Activation: BrainJanus, unified brain model, brain encoding decoding, multimodal brain, 统一脑模型, 脑编码解码
원문 언어: 중국어
BrainJanus: first unified brain model integrating brain, vision, and language via autoregressive Transformer. Unified Brain Tokenizer quantizes neural dynamics into discrete tokens aligned with visual/linguistic representations. Supports any-to-any generation…
원문 언어: 영어
BrainPICM 个性化社区掩码方法论 - 基于渐进式个体化社区感知掩码的脑网络自监督学习框架。使用最优传输进行 ROI 到社区的软分配，课程式掩码策略逐步引入低置信度区域，偏差感知聚合模块量化功能重组。适用于 fMRI 脑网络分析和神经精神疾病诊断。Activation: BrainPICM, personalized community, progressive masking, brain network SSL, optimal transport brain, 个性化社区, 渐进式掩码, 脑网络自监督
원문 언어: 중국어
Lightweight self-supervised representation learning for fMRI using positive-only data pairs, achieving strong cross-task generalization without large-scale pretraining
원문 언어: 영어
Branched optimal transport framework for inferring stimulus-to-reaction propagation architectures in brain networks. Uses anisotropic branched OT where concavity of flux cost promotes aggregation and branching. Activation: branched optimal transport, stimulus…
원문 언어: 영어
BRIDGE神经多样性检测方法论。整合图规范建模和深度生成网络，创建神经典型发育轨迹参考，评估个体神经偏离程度。适用于神经发育障碍诊断、脑龄预测、连接组分析。触发词：神经多样性、神经发育障碍、脑龄、规范建模、neurodivergence、brain age。
원문 언어: 중국어
Position and survey paper identifying convergence of neuroscience, AGI, and neuromorphic computing. Synaptic plasticity, spike-based communication, and multimodal association as design principles for next-gen AGI. arXiv:2507.10722
원문 언어: 영어
Calibrated measurement framework using the Brody exponent β as a quantitative measure of short-range exclusion in 2D spatial point processes. Originally from quantum chaos level-spacing statistics, now calibrated for spatial analysis with corrected CSR…
원문 언어: 영어
BSViT: Burst Spiking Vision Transformer with Dual-Channel Burst Spiking Self-Attention for expressive and efficient visual representation learning. Addresses binary spike capacity limits with burst encoding and local attention masking. Activation: bsvit,…
원문 언어: 영어
Excitation-driven data generation framework for building thermal dynamics modeling and control. BuilDyn enables customizable excitation strategies for control-oriented data generation, supports sampling from representative building distributions, and provides…
원문 언어: 영어
并行训练时间精确脉冲神经网络的方法论。使用并行关联扫描实现44倍加速，机器精度脉冲时间求解器避免时间离散化近似，支持端到端事件驱动SNN训练。Activation: spiking neural network, snn training, parallel scan, spike timing, event-based, neuromorphic, 并行训练, 脉冲时间.
원문 언어: 영어
BUS: Brain-Inspired Unsupervised Self-Reflection for VLM reasoning. Uses backward prediction (neuroscience concept) to enable label-free self-reflective reasoning in Vision-Language Models. Compatible with SFT and RL, tested on 8 benchmarks. Activation: BUS,…
원문 언어: 영어
CaMBRAIN - 首个因果 Mamba 状态空间模型用于 EEG 信号的实时连续推理。解决传统注意力模型的二次复杂度问题，通过多阶段自监督训练实现长程记忆保持和线性时间复杂度。
원문 언어: 중국어
CaMBRAIN methodology for real-time continuous EEG inference using causal Mamba state space models. First model enabling long-range streaming inference of variable-length EEG signals with >10x higher throughput.
원문 언어: 영어
Canonical Functionalism — a mathematical refinement of computational functionalism about consciousness that identifies consciousness-relevant functional organization with a system's canonical functional structure: the minimal state-transition structure…
원문 언어: 영어
Convolutional Neural Network framework for detecting gaseous microemboli (GME) during cardiac procedures using transthoracic ultrasound. Activation triggers: emboli detection, cardiac ultrasound, microemboli GME, surgical safety, transcatheter monitoring
원문 언어: 영어
DIRECT mechanism for causal learning with neural assemblies - local plasticity-based directional learning without backpropagation. Enables neural assembly networks to internalize causal directionality through projection, local plasticity control, and sparse…
원문 언어: 영어
Causal state intervention framework for controlling human behavioral outcomes through targeted latent state manipulation. Demonstrates that within-person variability belongs to dynamic latent state, and human outcomes are controllable through interventions…
원문 언어: 영어
颅内脑电图因果脑网络研究方法论。使用 CCEP（皮质-皮质诱发电位） 直接表征脑区间功能连接和方向性。 触发词：因果脑网络、iEEG、CCEP、皮质诱发电位、方向性连接、 causal brain network, intracranial EEG, cortico-cortical evoked potential。
원문 언어: 다국어 혼합
Counter-Diabatic QAOA (CD-QAOA) methodology for peptide structure prediction on tetrahedral lattices. Accelerates convergence via counter-diabatic driving terms, validated against HF/DFT/MD/H-REMD. Use when: (1) quantum optimization for molecular/peptide…
원문 언어: 영어
Counterfactual Policy Optimization for enforcing causal consistency between visual perception and textual reasoning in LVLMs. Cross-modal counterfactual enhancement regularizes policy via discrepancy maximization.
원문 언어: 영어
CFSPMNet - Cross-subject Fourier-guided Spatial-Patch Mamba Network for EEG Motor Imagery Decoding in Stroke Patients. Use when working with MI-EEG decoding, cross-subject BCI for stroke rehabilitation, Mamba-based EEG models, or Fourier-domain token…
원문 언어: 영어
无突触可塑性的混沌冻结方法论。引入Onsager反应项使神经网络动力学稳定化，不依赖Hebbian学习即可抑制混沌波动。适用于RNN稳定性分析、神经动力学控制。触发词：混沌冻结、Onsager反应、神经网络稳定性、混沌抑制、RNN动力学、chaos freezing、Onsager reaction、gradient dynamics。
원문 언어: 중국어
Mechanistic reasoning framework for distillation in large output spaces - two-phase process of shortlisting candidates followed by fine-grained reasoning, consistently outperforming standard distillation.
원문 언어: 영어
CHASMBrain层级化Mamba架构用于图像到fMRI编码。双流Mamba设计分离全局语义token和局部空间patch处理，粗到细策略实现ROI级到voxel级预测，在NSD数据集上Pearson相关达0.429。
원문 언어: 중국어
CheeseBench benchmark for evaluating LLMs on classical rodent behavioral neuroscience paradigms. Includes 9 tasks covering water maze, T-maze, Morris water maze, and other established behavioral tests. Cross-paradigm evaluation for neuroscience AI systems.
원문 언어: 영어
CHIA framework for principled agentic AI-driven hardware/software co-design. Treat hardware/software design flows as directed cyclic graphs (CHIA loops) with nodes executing SoC design tools, simulators, AI models, and evolutionary agents. Supports Chipyard,…
원문 언어: 영어
Conductance-based neuronal network model for chloride-dependent seizure dynamics. Models how activity-dependent chloride dynamics drive seizure evolution and stage transitions. Activation: computational-neuroscience, seizure, chloride, conductance-based,…
원문 언어: 영어
Expert guidance for Chrome extension development with Manifest V3. Use when building Chrome extensions, browser extensions, or working with Chrome APIs. Triggers on: chrome extension, browser extension, manifest v3, chrome api, extension development.
원문 언어: 영어
Computational modeling methodology for chronic stress as excitatory-inhibitory (E/I) balance perturbation in recurrent working-memory networks. Use when modeling stress effects on prefrontal cortex, studying resilience mechanisms, or analyzing E/I balance…
원문 언어: 영어
Circuit-Level Noise Estimation via Shuttling in Plaquette Circuits. Use when analyzing quantum algorithms, complexity bounds, quantum ML architectures, or quantum error correction involving mathematical analysis and statistical methods.
원문 언어: 영어
Circuit-level spiking neuron model for hardware robustness analysis. Studies how transistor-level variations affect SNN reliability on neuromorphic chips. Activation: circuit-level SNN, neuromorphic hardware reliability, transistor variation spiking, hardware…
원문 언어: 영어
Circulate-Firing Spiking Neural Network Training methodology - advancing direct training with CFSN model, TSL-SG learnable gradients, and PNB-Loss. Addresses SNN training bottlenecks: limited information capacity and imprecise gradient propagation.…
원문 언어: 영어
Citizen science and video games framework for cognitive science research. Transforms players into research participants through gamified experiments, enabling large-scale data collection for understanding human cognition. Activation: citizen science, video…
원문 언어: 영어
CITRAS-FM tiny 7M-parameter time series foundation model with covariate-informed zero-shot forecasting using Shifted Attention and CovSynth synthetic covariate generation
원문 언어: 영어
Clustered Label-Agnostic Federated Learning (CLAD) framework for anomaly detection in distributed systems. Combines unsupervised clustering with supervised detection via DM²A (Dual-Mode Multi-Stage Aggregation), enabling privacy-preserving anomaly detection…
원문 언어: 영어
Classical probability model that reproduces the disjunction effect in human decision making without violating the law of total probability. Use when analyzing the disjunction effect, Prisoner's Dilemma decision paradox, quantum-like cognition models,…
원문 언어: 영어
Classical Shadow Estimation of Unitary Channels (CSEU) methodology for efficient quantum process learning with Heisenberg-limited query complexity.
원문 언어: 영어