Research

Research, evidence gathering, literature, reports, investigation, and synthesis

skills in category: 21,385
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Showing 11,905–11,928 of 21,385 skills

Atoms Of Thought Eeg MicrostatesAUniversal EEG representation learning using microstate tokenizers. Builds a discrete microstate tokenizer from large-scale EEG datasets by clustering continuous signals into sequences of quasi-stable brain activity patterns. Outperforms traditional time/frequency features across sleep staging, emotion recognition, and motor imagery. Applicable to EEG representation, BCI, sleep staging, emotion recognition, neuroinformatics. Activation: EEG microstates, universal EEG tokenizer, microstate clus...researchgoVotes: 0GitHub stars: 3
Asymmetric Nonlinear Return ExtrapolationAAsymmetric nonlinear return extrapolation framework for optimal portfolio choice under stochastic volatility. Extends return extrapolation with saturation in belief updating and gain/loss asymmetry. Use when: behavioral portfolio optimization, return extrapolation, asymmetric belief updating, CRRA investor, stochastic volatility portfolio, Heston model portfolio.researchreactVotes: 0GitHub stars: 3
Astrocyte 3body PlasticityAAstrocyte-centric 3-body plasticity framework — how astrocytes participate in synaptic credit assignment alongside pre- and postsynaptic neurons. Proposes astrocytes as slow modulatory agents that bridge Hebbian millisecond-timescale plasticity with memory consolidation over seconds-to-minutes. Use when: modeling tripartite synapse learning rules, synaptic credit assignment, neuro-glial co-computation, biologically plausible learning in SNNs.researchpythongoVotes: 0GitHub stars: 3
Arxiv260714833A- Authors: Prakash Chandra Kavi, Daniel Ari Friedman, Gustavo Patow - arXiv: 2607.14833v1 - Abstract: Meditative expertise involves sustained attention, rapid recovery from distraction, and coordinated dynamics of large-scale brain networks. We present a computational phenomenology of focused-attention meditation traversing four attractor states: breath focus, mind-wandering, meta-awareness, and redirect attention. Within a dual-process active inference formulation, the model implements a three-researchapiVotes: 0GitHub stars: 3
Arxiv 2608 05656 Studying People To Study Ai Expert Perspectives OnAStudying People to Study AI: Expert Perspectives on the Epistemic Fit and Barriers of Human Research in AI Safety & Ethics (arXiv: 2608.05656)researchVotes: 0GitHub stars: 3
Arxiv 2608 05628 Skillhex Improving Agent Skills Via Hypothesis DriASkillHEX: Improving Agent Skills via Hypothesis-Driven Autonomous Exploration and Exploitation (arXiv: 2608.05628)researchVotes: 0GitHub stars: 3
Arxiv 2608 05249 Prism Priority Aware Rubric Internalization Via StAPRISM: Priority-aware Rubric Internalization via Structured Multimodal Data Synthesis (arXiv: 2608.05249)researchVotes: 0GitHub stars: 3
Arxiv 2608 05207 When Do Corrective Features Help An Agent For CorrAWhen Do Corrective Features Help? An Agent for Corrective Feature Discovery on Black-Box Forecasters (arXiv: 2608.05207)researchVotes: 0GitHub stars: 3
Arxiv 2608 05159 Agentic Nesting A New Methodology For Existing EntAAgentic Nesting: A New Methodology for Existing Enterprise Application Integration and Services (arXiv: 2608.05159)researchVotes: 0GitHub stars: 3
Arxiv 2608 03070 Ai Security Leaderboard Methodology Results And MiAAI Security Leaderboard: Methodology, Results and Minimal Standard (arXiv: 2608.03070)researchsecurityVotes: 0GitHub stars: 3
Arxiv 260715693 Mechanistic Inference Visual Cortex DiffusionAA skill for understanding and applying the methods from the arXiv paper: Toward a mechanistic understanding of inference in visual cortex and diffusion modelsresearchgoperformanceVotes: 0GitHub stars: 3
Arxiv 2607 26828 Budget Aware Llm Discovery Via Cost Calibrated FroABudget-Aware LLM Discovery via Cost-Calibrated Frontier Utility (arXiv: 2607.26828)researchVotes: 0GitHub stars: 3
Arxiv 2607 17602AA skill for conducting EEG/MEG-based brain network analysis based on the arXiv paper "Exploring Brain Networks Using Noninvasive Electrophysiological Measurements: Methods and Applications"researchpythongoVotes: 0GitHub stars: 3
Arxiv 2606 09368 Physscene A Scene Graph Dataset For Scientific VisAPhysScene: A Scene Graph Dataset for Scientific Visual Reasoning in Physics Experiments (arXiv: 2606.09368)researchVotes: 0GitHub stars: 3
Approximate Quantum Error CorrectionAApproximate quantum error correction theory for non-isometric codes addressing finite-energy experimental realizationsresearchgoVotes: 0GitHub stars: 3
Anthropic Institute Focus AreasAMethodology from Anthropic research (May 7, 2026) outlining focus areas for The Anthropic Institute — AI safety research priorities, policy engagement, and societal impact initiatives.researchgoVotes: 0GitHub stars: 3
Anthropic Economic Index CadencesAMethodology from Anthropic Economic Index report "Cadences" (Jun 26, 2026) for analyzing AI usage patterns through privacy-preserving telemetry — temporal cadences, output artifact classification, and perception surveys linked to behavioral data.researchgoapiVotes: 0GitHub stars: 3
Anatomy Modality Gap Speech LlmsAAnalysis of modality gap in speech LLMs through cross-layer alignment patterns, revealing that speech representations exhibit broad cross-layer alignment due to redundant nature of speech signals.researchgoperformanceVotes: 0GitHub stars: 3
Analog Kan Biosignal Flexible ElectronicsAAnalog Kolmogorov-Arnold Networks (AKANs) for low-power function approximation in flexible electronics. Hardware-software co-optimization with circuit-level error modeling during training and dual-level pruning. Targets wearable biosignal processing (EEG, ECG, EMG) with 55% area and 50% power savings. Use when: neuromorphic computing for biosignals, analog neural network hardware, flexible electronics, low-power function approximation, wearable neural inference, sensor calibration, logarithmi...researchgonodeVotes: 0GitHub stars: 3
Amplitude Encoded Quantum Reservoir ProtocolAOnline quantum reservoir computing protocol with amplitude encoding using mid-circuit measurement and reset - enables scalable hardware implementations without input bufferingresearchgoVotes: 0GitHub stars: 3
Algorithmic Bohmian Mechanics DistributionAAlgorithmic Bohmian Mechanics (aBM) methodology using algorithmic randomness theory to formulate the distribution postulate as an objective constraining law. arXiv:2606.16165researchgoVotes: 0GitHub stars: 3
Ai Sycophancy MeasurementAMethodology for measuring, analyzing, and mitigating AI sycophancy in guidance-giving contexts. Covers automated classification, stress-testing with prefilling, synthetic data generation, and domain-specific analysis.researchgotestingVotes: 0GitHub stars: 3
Whisper Ecog AlignmentAThis methodology investigates how Whisper speech foundation model representations predict intracranial ECoG (electrocorticography) responses during naturalistic speech perception. It introduces a time-resolved neural encoder with recurrent temporal modeling and soft attention to examine layer-wise brain alignment.researchpythongoVotes: 0GitHub stars: 3
When Synthetic Users Fail A Cross Domain BenchmarkAWhen Synthetic Users Fail: A Cross-Domain Benchmark of LLM-Simulated Human Survey ResponsesresearchVotes: 0GitHub stars: 3