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Research, evidence gathering, literature, reports, investigation, and synthesis
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Showing 11,689–11,712 of 21,402 skills
- Feature Visualization Brain EncoderFeature visualization as interpretability technique for brain encoder models. Uses gradient ascent on predicted activation for target ROIs to qualitatively evaluate whether encoders have internalized functional brain organization. Activation: feature visualization brain encoder, cortical selectivity validation, brain encoder interpretability, ROI feature visualization.Votes: 0GitHub stars: 3
- Fcn Llm Brain Network UnderstandingIntegrating LLMs with functional connectivity networks for brain analysis. Activation: LLM-brain integration, functional connectivity, graph-text alignment.Votes: 0GitHub stars: 3
- Fc Guided Band Selection Mi BciFunctional connectivity-guided spectral band selection for motor imagery BCI. Uses phase-based connectivity (wPLI, PLV, PLI) to identify optimal EEG frequency bands for CSP-based decoding instead of heuristic filter banks. Activation: BCI band selection, motor imagery, functional connectivity CSP, FC-guided BCI, spectral band optimization, EEG feature selection.Votes: 0GitHub stars: 3
- Fc Guided Band Selection BciFunctional Connectivity-guided spectral band selection for Motor Imagery Brain-Computer Interfaces (MI-BCIs). Ranks frequency bands using phase-based connectivity (wPLI, PLV, PLI) across sensorimotor channels to identify subject-specific discriminative bands, reducing CSP pipeline dimensionality while maintaining classification accuracy.Votes: 0GitHub stars: 3
- Fast Efficient Coding CriticalityFast efficient coding and sensory adaptation in gain-adaptive recurrent networks. Theoretical framework showing gain modulation in recurrent circuits reconciles adapter-repulsion and prior-attraction under a unified efficient-coding objective.Votes: 0GitHub stars: 3
- Face Perception Inverse GenerativeHuman face perception methodology using controversial stimulus pairs to distinguish between theoretically distinct DNN models. Shows that human face perception is shaped by inverse-generative mechanisms that infer latent causes of facial appearance and discount nuisance variation, tuned by natural image statistics. arXiv:2605.12619.Votes: 0GitHub stars: 3
- Extended Predictive Coding Exponential FamilyExtended Predictive Coding framework using exponential-family distributions for variational free-energy minimization. Captures biological network properties: nonlinearity, heterogeneity, positive firing rates. Biologically plausible local plasticity rules. Activation: predictive coding, exponential family, free-energy principle, variational inference, local plasticity, 预测编码, 自由能原理.Votes: 0GitHub stars: 3
- Exploratory Predictive Representation Geometry探索性行为塑造预测性表征几何的方法论。通过主动感知框架研究探索-利用平衡如何影响内部表征组织。探索性行为使表征更具空间结构性，更好地保留迷宫转换结构。激活词：探索性学习、exploratory behavior、predictive coding、predictive representations、active sensing、latent space geometry、行为-学习循环。Votes: 0GitHub stars: 3
- Explainable Gnn Eeg NeurologicalExplainable GNN for EEG Neurological EvaluationVotes: 0GitHub stars: 3
- Experimental Quantum Key Distribution Indefinite Causal OrderA skill for understanding and applying the methods from the arXiv paper: Experimental Quantum Key Distribution in an Indefinite Causal Order (arXiv: 2608.13561v1)Votes: 0GitHub stars: 3
- Experiment As Code LabsExperiment-as-Code (EaC) Labs — a declarative stack for AI-driven scientific discovery. Encodes experiments as declarative configurations compiled to device-level APIs, with three-layer architecture: specification (standardization/reproducibility), execution (safety/reliability), and orchestration (scalability/efficiency). Inspired by Infrastructure-as-Code (IaC) for cloud computing, adapted for physical lab automation. Use when designing autonomous lab systems, AI-scientist physical executio...Votes: 0GitHub stars: 3
- Existing Skills Integration WorkflowWorkflow for integrating existing ai_collection skills into current research sessions when papers are rediscovered during automated arXiv searches. Handles syncing local skills, updating INDEX.md, and maintaining knowledge base consistency.Votes: 0GitHub stars: 3
- Exact First Passage Time Response TheoryUse for MFPT response analysis in neural dynamics.Votes: 0GitHub stars: 3
- Evolved Instruction Following Inductive BiasEvolutionary inductive bias enabling rapid instructed task learning (RITL) in humans - bridges cognitive science, neuroscience, and LLM instruction tuningVotes: 0GitHub stars: 3
- Evolutionary Snn ClassifierEvolutionary feature selection for spiking neural network pattern classifiers using the biologically realistic JASTAP model. Combines evolutionary algorithms with SNN training for simultaneous architecture and feature optimization.Votes: 0GitHub stars: 3
- Event Driven Hopfield RetrievalEvent-driven asynchronous retrieval in high-capacity kernel Hopfield networks. KLR Hopfield networks achieve P/N ≈ 30 storage capacity with asynchronous updates, enabling energy-efficient neuromorphic deployment. Event count matches initial Hamming distance — minimal spurious oscillations. Activation: Hopfield network, kernel associative memory, event-driven computation, asynchronous retrieval, neuromorphic memory, storage capacity, KLR Hopfield, margin maximization.Votes: 0GitHub stars: 3
- Event Driven Eligibility PropagationEvent-driven eligibility propagation (e-prop) extension for large sparse recurrent spiking networks. Biologically plausible learning rule with continuous dynamics, strict locality, and sparse connectivity. Scales to millions of neurons without compromising performance. Integrates neuromorphic principles into AI learning algorithms. Keywords: e-prop, event-driven learning, eligibility trace, sparse SNN, biologically plausible, recurrent connectivity, neuromorphic MNIST, scalable learning, loca...Votes: 0GitHub stars: 3
- Evaluation Resolution Confounds Rsa Visual CortexResolution confounds in RSA visual cortex comparisons.Votes: 0GitHub stars: 3
- Errorless Irrationality Inverse Base Rate EffectUnified computational account of the inverse base-rate effect that persists across predictive, observational, and unsupervised learning procedures, proposing the OSCAR model based on self-generated feedback and pattern completion dynamics.Votes: 0GitHub stars: 3
- Equilibrium Dynamics Sound LocalizationEquilibrium dynamics framework for microsecond-precision sound localization without explicit delay linesVotes: 0GitHub stars: 3
- Entropic Time Psychophysics Deformed Neural DynamicsUnified physical theory linking entropy production, subjective time perception, and deformed neural dynamics. Derives conformable time operators from thermodynamic principles and predicts psychedelic time dilation and cognitive aging effects.Votes: 0GitHub stars: 3
- Entropic Explanation Autism SamenessInformation theory-based framework explaining insistence on sameness in autism through entropy minimization. Uses metric D_H(R, M) = H(R|M) + H(M|R) to quantify surprise and uncertainty reduction strategies. Provides formal foundations for autism therapies, robotic caregivers, and computational models of cognitive limitations.Votes: 0GitHub stars: 3
- Energy Based Autoregressive Neural DynamicsEnergy-based Autoregressive Generation (EAG) framework for neural population dynamics using energy-based transformer in latent space with strictly proper scoring rules. Activation triggers: energy-based model, neural population dynamics, autoregressive generation, brain modeling, transformer dynamics.Votes: 0GitHub stars: 3
- Emergent Topological Brain OrganoidsApply persistent homology to MEA recordings of spontaneous brain-organoid activity. Detects H1 loops and H2 voids in correlation networks, compares them to rate-preserving null models, and identifies non-redundant loop-carrying cores.Votes: 0GitHub stars: 3