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Claude Skills by hiyenwong
github.com/hiyenwong9,934 skills5 installs19,223 views
- Brain Inspired NcaBrain-inspired Neural Cellular Automata for morphogenesis and motor control. Extends traditional NCA with brain-like topologies and long-range connections beyond Moore neighborhood. Use for: (1) Morphogenesis simulation and pattern formation, (2) Motor control systems, (3) Bio-inspired self-organizing systems, (4) Complex topology cellular automata research. Triggered by: BraiNCA, neural cellular automata, brain-inspired CA, morphogenesis NCA, bio-inspired self-organization.Votes: 0GitHub stars: 3
- Brain Inspired Neural Cellular AutomataBrain-inspired Neural Cellular Automata (BraiNCA) for morphogenesis and motor control. Uses biological neighborhood structures beyond regular grids.Votes: 0GitHub stars: 3
- Brain Inspired Snn Pattern Analysis分析 Spiking Neural Networks (SNN) 和脑启发计算论文，提炼可复用的技术模式和实现指南。Use when analyzing papers about: spiking neural networks, brain-inspired computing, neuromorphic systems, biological learning rules, SNN architectures, or extracting implementation patterns from neuroscience papers.Votes: 0GitHub stars: 3
- Brain It Vqa Fmri Visual Question AnsweringBrain-IT-VQA framework for visual question answering from fMRI brain signals. Decodes language tokens from brain activity and integrates with language model to answer visual questions. Use when: (1) Building VQA systems from brain signals, (2) Analyzing brain visual representation structure, (3) Implementing silent communication BCI, (4) Decoding visual content from fMRI. Activation: brain-it-vqa, brain vqa, fmri question answering, visual decoding brain, neural vqa.Votes: 0GitHub stars: 3
- Brain Llm Alignment Training DataBrain-LLM alignment is driven by training-language dominance, not an inherent property of English. Tests with fMRI from 112 participants across English, Chinese, French and 7 LLMs (English-dominant, Chinese-dominant, multilingual). Baichuan2-7B reverses alignment gradient entirely; typological distance independently affects alignment degradation in syntax regions (IFG). Accepted at CoNLL 2026. Activation: brain-LLM alignment, cross-linguistic brain encoding, training data dominance, multiling...Votes: 0GitHub stars: 3
- Brain Llm Key Neurons GrammarBrain-LLM analogy methodology for identifying grammar-specialized neurons in Large Language Models. Uses brain lesion study-inspired approaches to find POS-tag-specific neurons in Llama 3. Activation triggers: grammar neurons, LLM interpretability, part-of-speech, brain-LLM analogy, neuron identification, grammar subspace.Votes: 0GitHub stars: 3
- Brain Llm Memory ComparisonFrom Observation to Intervention: Memory in Brains and Large Language Models - functional comparison framework for memory systems across biological brains and LLMs, focusing on representation, retrieval, updating, and experimental access. Use when analyzing memory mechanisms in AI systems or drawing cross-domain insights between neuroscience and LLM research.Votes: 0GitHub stars: 3
- Brain Mri Foundation Clinical脑MRI基础模型临床部署框架，基于FOMO25挑战赛发现。使用自监督学习(SSL)预训练大规模脑MRI基础模型，支持少样本学习和域外泛化，涵盖梗死分类、脑膜瘤分割和脑龄回归任务。Activation: brain MRI foundation model, FOMO25, clinical deployment, self-supervised learning, few-shot learning.Votes: 0GitHub stars: 3
- Brain Network Controllability结构脑网络可控性分析实用指南。基于网络控制理论计算平均可控性、模态可控性、最小控制能量等指标，研究脑网络状态转移能力。适用于脑网络分析、神经调控研究、认知控制研究。触发词：脑网络可控性、控制理论、结构连接、控制能量、平均可控性、模态可控性、controllability、control theory、structural brain network。Votes: 0GitHub stars: 3
- Brain Networks Eeg Meg MethodsSkill for EEG/MEG-based brain network analysis covering forward/inverse problems, connectivity measures, and pipelines.Votes: 0GitHub stars: 3
- Brain Of Omnifunctional Foundation ModelBrain-OF: First omnifunctional brain foundation model jointly pretrained on fMRI, EEG and MEG. Uses Any-Resolution Neural Signal Sampler, DINT attention with Sparse MoE, and Masked Temporal-Frequency Modeling for dual-domain pretraining. Pretrained on ~40 datasets. Source: arXiv:2602.23410 (Guo et al., Feb 2026).Votes: 0GitHub stars: 3
- Brain Omnifunctional Foundation ModelBrain-OF unified foundation model for multiple neuroimaging modalities. Activation: omnifunctional model, multi-modal neuroimaging, unified brain analysis.Votes: 0GitHub stars: 3
- Brain Oscillation Synchronization Framework脑网络振荡同步计算框架 - 整合 Kuramoto相位动力学、时间延迟塑性、信息通量优化的统一方法论。用于研究脑网络同步性、频率选择、振荡耦合、信息传输效率。适用于网络神经科学、计算神经科学、脑动力学建模。Votes: 0GitHub stars: 3
- Brain Segmentation Active LearningEntropy-based active learning methodology for fair and efficient brain image segmentation. Use when: (1) performing brain MRI/CT segmentation with limited labeled data, (2) needing fair segmentation across demographic groups, (3) selecting most informative samples for annotation, (4) optimizing annotation budget for medical imaging, (5) addressing bias in brain segmentation models.Votes: 0GitHub stars: 3
- Brain State Transition Network Control脑状态转移动力学与网络控制方法论。基于网络控制理论计算平均可控性、模态可控性、最小控制能量等指标，研究脑网络状态转移的能量需求与动态特性。Activation: brain state transition, network control, controllability, control energy, brain dynamics, structural connectome, functional connectome, 控制理论, 状态转移, 脑网络控制.Votes: 0GitHub stars: 3
- Brain Stimulation Dynamics StateBrain Stimulation Effects on Network DynamicsVotes: 0GitHub stars: 3
- Brain To Language Source AttributionSource attribution framework for MEG-to-audio brain decoding that separates decoding performance into structural shortcuts, stimulus-evoked evidence, and contextual aggregationVotes: 0GitHub stars: 3
- Brain To Speech Prosody Feature EngineeringBrain-to-speech synthesis from intracranial EEG using prosody feature engineering and transformer-based reconstruction — decodes speech with natural intonation and rhythm from neural signals. Maps neural activity to speech acoustic features including pitch contour, energy envelope, and timing. Use when: brain-to-speech decoding, intracranial EEG speech synthesis, prosody feature engineering, transformer-based neural decoding, speech reconstruction from brain signals, neural speech synthesis, ...Votes: 0GitHub stars: 3
- Brain To Text Unified DecodingUnified brain-to-text decoding framework for both speech production and perception in Mandarin Chinese. Uses shared neural representations across modalities with dual-decoder architecture. Activation: brain-to-text decoding, speech BCI, neural speech decoding, unified speech decoding.Votes: 0GitHub stars: 3
- Brainca Neural Cellular AutomataBraiNCA: brain-inspired neural cellular automata with complex brain-like topologies for morphogenesis and motor control. Long-range connections beyond Moore neighborhood. Triggers: neural cellular automata, morphogenesis, NCA, brain-inspired topology, motor control, complex networks.Votes: 0GitHub stars: 3
- Braincast Spatiotemporal Fmri ForecastingBrainCast methodology for spatio-temporal forecasting of whole-brain fMRI time series. Uses dual-branch architecture with ST-CausalConv for spatial decoding and ST-Mixer for temporal prediction. Activation: fMRI forecasting, brain time series prediction, spatio-temporal brain modeling.Votes: 0GitHub stars: 3
- Braindinobrain Mri FoundationBrainDINO: 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 fine-tuning. Trigger words: BrainDINO, brain MRI foundation model, self-supervised MRI, clinical representation learning, neuroimaging foundation, DINO brain MRI, medical imaging foundation model, brain MRI self-distillation.Votes: 0GitHub stars: 3
- Braindyn Sheaf Neural OdeBrainDyn: A Sheaf Neural ODE framework for modeling continuous-time neural dynamics on structured brain graphs. Combines cellular sheaf theory (learnable restriction maps, sheaf Laplacian) with neural ODEs for generative brain dynamics. Supports multi-modal neural data (fMRI, EEG, spiking neural network simulations), in silico perturbation prediction, and structured latent representations. Use when: (1) modeling brain dynamics as continuous-time ODEs on brain graphs, (2) implementing sheaf ne...Votes: 0GitHub stars: 3
- Brainfuse Unified Biological Ai InfrastructureBrainFuse - 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.Votes: 0GitHub stars: 3
- Brainjanus Unified Brain ModelBrainJanus 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Votes: 0GitHub stars: 3
- Brainjanus Unified Brain Vision LanguageBrainJanus: 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 (image-to-brain, text-to-brain, brain-to-image, brain-to-text). Use when researching unified brain encoding/decoding, brain-vision-language integration, discrete brain tokenization, or autoregressive brain modeling.Votes: 0GitHub stars: 3
- Brainpicm Personalized Community MaskingBrainPICM 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Votes: 0GitHub stars: 3
- Brainsimsiam Self Supervised FmriLightweight self-supervised representation learning for fMRI using positive-only data pairs, achieving strong cross-task generalization without large-scale pretrainingVotes: 0GitHub stars: 3
- Brainworld 4d Fmri GenerationBrainWorld - Structural-Prior-Conditioned Generative Model for whole-brain 4D fMRI dynamics. Uses sMRI as subject-level anatomical context to guide future fMRI generation, integrating structural information into the denoising process. Activation: fMRI generation, brain dynamics modeling, structural prior, 4D fMRI, generative model, diffusion transformer.Votes: 0GitHub stars: 3
- Branched Optimal Transport Brain MappingBranched 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 reaction brain mapping, ramified transport brain, brain propagation architecture, optimal transport neuroscience.Votes: 0GitHub stars: 3
- Bridge Neurodivergence DetectionBRIDGE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。Votes: 0GitHub stars: 3
- Bridging Brains Machines Neuro AiPosition 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:2507.10722Votes: 0GitHub stars: 3
- Brody Exponent Spatial ExclusionCalibrated 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 baseline, empirical β-r_excl calibration (Spearman ρ=0.988), and control protocols. Use for quantum chaos analysis, spatial statistics, prime number embeddings, and manufactured surface characterization.Votes: 0GitHub stars: 3
- Browser Based Arxiv ResearchBrowser-based arXiv research methodology for reliable paper discovery when API methods fail. Uses browser navigation to arXiv listing pages combined with JavaScript console extraction for structured paper metadata. Use when automated arXiv searches encounter connection issues, security blocks, SSL errors, or rate limiting.Votes: 0GitHub stars: 3
- Bsvit Burst Spiking Vision TransformerBSViT: 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, burst spiking, vision transformer, spiking vit, attention masking, neuromorphic.Votes: 0GitHub stars: 3
- Buildyn Thermal Dynamics ControlExcitation-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 Python interface for ML pipelines. Use when: (1) training data-driven building models, (2) ensuring sufficient state-space exploration, (3) preparing training data for building control applications, (4) generating excited vs stationary o...Votes: 0GitHub stars: 3
- Bullet Trains Parallel Snn Training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.Votes: 0GitHub stars: 3
- Bus Brain Inspired Self Reflection VlmBUS (Brain-Inspired Unsupervised Self-Reflection) methodology for training Vision-Language Models to self-correct reasoning without labeled supervision. Implements unsupervised reflection via brain-inspired feedback loops, enabling VLMs to review and improve generated reasoning traces without requiring large annotated datasets. Activation: brain-inspired self-reflection, VLM reasoning improvement, unsupervised reasoning correction, self-correcting vision-language models, BUS methodologyVotes: 0GitHub stars: 3
- Bus Brain Inspired Unsupervised Self ReflectionBUS: 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, backward prediction, unsupervised self-reflection, VLM reasoning, neuroscience-inspired training.Votes: 0GitHub stars: 3
- Cambrain Realtime Continuous EegCaMBRAIN - 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。Votes: 0GitHub stars: 3
- Cambrain Realtime Eeg InferenceCaMBRAIN 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.Votes: 0GitHub stars: 3
- Canns Toolkit Attractor NetworksComprehensive open-source toolkit unifying CANN research workflow with BrainPy/JAX, Rust acceleration, and topological analysis. Use when working with continuous attractor neural networks for spatial coding, head direction, grid cells, or any continuous variable encoding in neural circuits.Votes: 0GitHub stars: 3
- Canonical Functionalism ConsciousnessCanonical 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 obtained by identifying internal states with identical future behavior under all possible continuations. Activation: canonical functionalism, consciousness theory, computational functionalism, observer-relative computation, consciousness invari...Votes: 0GitHub stars: 3
- Cardiac Emboli Detection UltrasoundConvolutional 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 monitoringVotes: 0GitHub stars: 3
- Categorical Braiding SubfactorBraiding structures on categorical multi-interval Jones-Wassermann subfactor planar algebras from unitary modular fusion categories. Constructs braidings inducing projective unitary representations of balanced superelliptic mapping class groups, encoding higher-genus topological data. New proof of subfactor self-duality. Activation: braiding structures, Jones-Wassermann subfactor, planar algebra, modular fusion category, mapping class group, higher-genus topology, categorical quantumVotes: 0GitHub stars: 3
- Causal Data Management Ecosystem Agentic AiCausal World System for agentic AI decision making.Votes: 0GitHub stars: 3
- Causal Learning Neural AssembliesDIRECT 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 winner selection.Votes: 0GitHub stars: 3
- Causal State Intervention Human ControllabilityCausal 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 targeting state and its weighting at decision moments. Use when studying: (1) Human behavioral controllability via state intervention, (2) Within-person variability as dynamic latent state, (3) Causal manipulation of decision-state interact...Votes: 0GitHub stars: 3
- Ccep Causal Brain Network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。Votes: 0GitHub stars: 3
- Cd Qaoa Peptide Structure PredictionCounter-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 structure prediction, (2) CD-QAOA for ground-state search acceleration, (3) quantum-classical hybrid validation of predicted structures, (4) Miyazawa-Jernigan interaction modeling for peptides. Activation: CD-QAOA, peptide structure predictio...Votes: 0GitHub stars: 3