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SkillsMP hat 4.114 Skills aus hiyenwong/ai_collection gesammelt. Öffne einen Skill, um Quelle und Details zu prüfen.
Es werden 40 von 4.114 gesammelten Skills angezeigt.
Graph-native Python reimplementation of the Information Dynamics of Music (IDyOM) model that represents predictive memories as explicit graph objects for musical expectation modeling and network analysis.
Quellsprache: Englisch
Physics-aware end-to-end deep reinforcement learning methodology for quadcopter control with actuator dynamics modeling.
Quellsprache: Englisch
Reinforced Dreamer methodology for asymmetric reinforcement learning using latent guidance to improve world model representations and behaviors in model-based RL.
Quellsprache: Englisch
Relay On-Policy Distillation (Relay-OPD) methodology for trajectory-relayed token-level supervision to overcome prefix failure in reasoning models.
Quellsprache: Englisch
Methodology for identifying and preventing phantom evidence - false positives manufactured by generative AI that appear convincing but lack genuine evidential value due to narrow hypothesis spaces and data leakage.
Quellsprache: Englisch
Gain-Load-Alignment Principle for Dendritic E/I Networks - Framework for understanding when branch-local shunting helps in neural population readout. Analyzes DendriNet architecture with varying integration rules, morphology, and synaptic allocation. Use when…
Quellsprache: Englisch
LLM-powered EEG analysis agent grounded in MNE-Python that separates semantic interpretation from scientific validation using deterministic contracts and confirmation controls to prevent false positives.
Quellsprache: Englisch
Methodology for analyzing and addressing the spectral-temporal dissociation in EEG foundation models that causes cross-population fragility due to blindness to long-range temporal correlations (LRTC).
Quellsprache: Englisch
Analysis of ~400,000 Claude Code sessions showing domain expertise creates persistent returns in agentic coding performance, with expert users achieving 2-3x higher success rates and more efficient tool usage.
Quellsprache: Englisch
Scalable Variational Quantum Optimization via Pauli Correlation Encoding (PCE) methodology for large-scale combinatorial optimization problems, particularly power demand portfolio optimization. Uses expectation values of Pauli correlation operators to…
Quellsprache: Englisch
Large-scale benchmark methodology for EEG motor imagery decoding that addresses subject-level heterogeneity through portfolio-based pipeline selection. Use when analyzing inter-individual variability in EEG BCI systems, comparing covariance tangent-space…
Quellsprache: Englisch
Runtime framework for speculative sandbox preallocation and scheduling in LLM agent serving environments to optimize resource utilization and reduce tail latency.
Quellsprache: Englisch
Synaptic clustering methodology for learning covariance structure discrimination using Dendrinet architecture with hierarchical dendritic segments and sparse conductance-based synapses. Use when analyzing how functional synapse clusters (FSCs) emerge from…
Quellsprache: Englisch
Methodology for studying emergent lifelike patterns (Limbomorphs) in Gifbreeder systems that encode spatiotemporal fields through aesthetic selection, analyzing their species-specific reactions to perturbations and assessing whether they exhibit genuine…
Quellsprache: Englisch
Methodology for identifying distributed functional-connectivity signatures of Alzheimer's disease using subject-specific reservoir-computing models and developing personalized neuromodulation strategies.
Quellsprache: Englisch
Fluid search methodology for adaptive search efficiency in autonomous research systems. Uses portfolio bandit to dynamically allocate evaluation budget across search processes, optimizing area under Pareto frontier curve.
Quellsprache: Englisch
ModernMOE (MMOE) methodology for modernizing diffusion transformers with efficient expert design. Adapts routed experts, shared and lightweight experts, gate-residual routing, and attention-residual information reuse to AIGC generation.
Quellsprache: Englisch
Physics Transformer methodology for PDE prediction using function-projection-based tokenization. Treats physical fields as continuous functions with adaptive local basis functions and locality-preserving spatial patches.
Quellsprache: Englisch
Distributed functional-connectivity signature of Alzheimer's disease methodology using subject-specific reservoir-computing models to reconstruct individual lagged functional connectivity and develop personalized neuromodulation strategies. Shows that optimal…
Quellsprache: Englisch
Adaptive electrode-selection method using discounted Poisson-Gamma model with Thompson sampling for tracking non-stationary spontaneous activity during long-term HD-MEA recordings under fixed channel budget constraints.
Quellsprache: Englisch
Comprehensive benchmarking framework for stress-testing EEG foundation models with dataset identity analysis and targeted negative controls to evaluate clinical decoding robustness.
Quellsprache: Englisch
The Semantic Least-Energy Principle (SLEP) hypothesis that intelligent systems evolve internal representations by maximizing semantic utility while minimizing semantic, predictive, and computational energy.
Quellsprache: Englisch
SpiNNaker2 chip: a many-core platform for flexible and scalable brain-inspired computing that bridges deep learning and neuromorphic computing. Use when working with neuromorphic hardware design, spiking neural network acceleration, or brain-inspired…
Quellsprache: Englisch
Self-supervised pretraining on spontaneous neural activity using masked autoencoders to improve perception decoding in clinical neuroprosthetics. Achieves 84.1% accuracy on psychometric tasks and 64.0% on threshold-level tasks.
Quellsprache: Englisch
MOJO (Masked autOencoder-based JOint training) framework for decoding neural population activity using self-supervised learning with unlabelled data. Use when: working with limited labelled neural data, needing cross-session generalization, or wanting to…
Quellsprache: Englisch
Universal BCI Personalization API for trunk-agnostic EEG foundation model integration. Provides one contract encode to Bayesian head to BrainState architecture that works across heterogeneous frozen EEG trunks without per-architecture personalization stacks.…
Quellsprache: Englisch
Framework for designing control systems that govern not only goal pursuit but also goal appropriateness in changing environments. Implements two-timescale control with fast regulation loop and slow goal governance loop.
Quellsprache: Englisch
Graph-Based Correlation Matrix Generation using convex optimization for controlled sparsity and mean off-diagonal values. Use when generating realistic correlation matrices for neuroscience, finance, or other domains requiring graph-structured correlations…
Quellsprache: Englisch
Interpretable EEG biomarkers with bag-of-waves: Spatial and temporal waveform dictionaries for low-data regimes. Use when analyzing EEG data in low-data scenarios, needing interpretable biomarkers, or working with clinical EEG classification. Activation:…
Quellsprache: Englisch
Cross-Tokenizer On-Policy Distillation framework using byte-prefix marginalization to enable knowledge transfer between models with different tokenizers while preserving policy quality.
Quellsprache: Englisch
IFCLoRA framework for topology-aware rank allocation in parameter-efficient fine-tuning, dynamically allocating LoRA ranks based on model architecture topology and task requirements.
Quellsprache: Englisch
LeAct framework for recovering chain-of-thought reasoning from expert systems that only produce actions without explicit reasoning traces, treating CoT as a latent variable optimized via action probability scoring.
Quellsprache: Englisch
Framework for teaching LLMs to self-evolve by cultivating core meta-skills with reinforcement learning, enabling autonomous capability expansion through iterative self-improvement cycles.
Quellsprache: Englisch
Methodology for optimizing spiking neural network simulation performance by managing NUMA balancing settings on HPC systems.
Quellsprache: Englisch
BrainAgent agentic LLM framework for knowledge-enhanced brain network analysis. Reformulates connectome classification as iterative topology-aware understanding, external retrieval, reasoning, and reflection. Use when analyzing brain networks with LLMs for…
Quellsprache: Englisch
NUMA balancing performance optimization for spiking network simulations on HPC systems. Identifies that automatic NUMA balancing can reduce energy efficiency by 30% in spiking network simulations and provides methodology for per-job NUMA balancing control to…
Quellsprache: Englisch
Novel coupling methodology for Rulkov neural maps preserving chaos and generating strange attractors
Quellsprache: Englisch
Local synaptic learning rules (STDP+ and homeostatic plasticity) can implement exact SIGReg-like self-supervised learning gradients without backpropagation, global error signals, or weight transport.
Quellsprache: Englisch
Automated computer vision based ICA rejection labeling tool for EEG analysis that reduces processing time by 7200 fold and achieves 89.45% accuracy
Quellsprache: Englisch
Computer vision based automated ICA rejection for EEG artifact removal with 89.45% accuracy and 7200x speedup over manual inspection. Compatible with ICLabel and EEGLab interfaces.
Quellsprache: Englisch