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Scientific Computing Skills | Skills Pool

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Scientific Computing

2,179 skills

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2,179 skills

Scientific Computing

Neural Population Decoding

Methods for decoding neural population activity and analyzing latent dynamics. Covers dimensionality reduction, manifold analysis, and decoding algorithms. Activation: neural decoding, population coding, manifold, latent dynamics, dimensionality reduction.

Scientific Computing

Neural Emulator Theory

Neural Emulator Theory

Scientific Computing

Convergent Representations Of Linguistic Construct

Understanding how the brain processes linguistic constructions is a central challenge in cognitive neuroscience and linguistics. Recent computational studies show that artificial neural language model...

Scientific Computing

Calcium Imaging Foundation Model

Self-supervised foundation model for calcium imaging population dynamics analysis. Activation: neuroscience, calcium-imaging, foundation-model.

Scientific Computing

Neuroscience

Neuroscience research skill covering brain connectivity, neural dynamics, and neuroimaging analysis.

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Scientific Computing

Physics-Infused Video Generation

Physics-Infused Video Generation via joint modeling of visual and latent physical dynamics. Phantom integrates physical-aware video representation into generation process for physically consistent video synthesis. Use for: physics-aware video generation, physical dynamics modeling, consistent video synthesis, latent physics inference. Activation: Phantom, physics-infused video, physical dynamics, video generation, latent physics, 物理注入视频生成.

Scientific Computing

Neuromodulation Cpg

Neuromodulation mechanisms supporting robust rhythmic pattern transitions in central pattern generators. Activation: neuroscience, neuromodulation, cpg.

Scientific Computing

Neutral Theory Neural Dynamics

中性理论无标度神经动力学方法论。神经元雪崩无标度行为不源于临界性，而是来自中性漂移。适用于脑网络雪崩分析、临界性研究、神经动力学建模。触发词：中性理论、无标度、神经元雪崩、临界性、neutral theory、scale-free、neural avalanche。

Scientific Computing

Snn Quantized Dynamics Integer

基于论文 'Integer-State Dynamics of Quantized Spiking Neural Networks for Efficient Hardware Acceleration' 的神经科学研究方法论。arXiv:2604.01042v1

Scientific Computing

Post Selection Free

... 触发词: neuroscience, brain, neural

Scientific Computing

hiyenwong-ai-collection-collection-skills-quantum-neural-dynamics-skill-md

Analyze quantum neural networks (QNNs), quantum-inspired neural architectures, and quantum dynamics inference from neural data. Use when: (1) analyzing papers on quantum neural networks, (2) evaluating quantum-inspired machine learning approaches, (3) studying quantum simulation of neural systems, (4) assessing quantum error mitigation via neural networks, (5) researching quantum-neuroscience intersections, (6) extracting patterns from quantum-ML literature.

Scientific Computing

Spiking Oscillation Mapping V2

Systematic regime mapping of oscillatory states in balanced spiking networks with multiple time scales. Analyzes transitions between silent, asynchronous-irregular, and oscillatory states. Activation: spiking oscillation mapping, balanced network regimes, multi-time-scale SNN, 脉冲振荡机制映射, 平衡网络动力学.

Scientific Computing

Stochastic Synaptic Plasticity

神经突触可塑性随机模型框架。基于STDP规则的突触权重演化数学模型，引入塑性核概念表示不同STDP规则，使用随机过程分析神经元-突触系统动力学。适用于计算神经科学、突触可塑性建模、STDP学习规则。触发词：突触可塑性、STDP、塑性核、突触权重、随机模型、synaptic plasticity、STDP、plasticity kernel、Hebbian learning。

Scientific Computing

Synaptic Weight Distributions Plasticity Geometry

Synaptic Weight Distributions and Plasticity Geometry

Scientific Computing

Iam Timeseries Qa

Answer IAM PARIS questions about Integrated Assessment Models (IAMs) and IAM PARIS time-series results. Use when a user asks for model metadata, available models/scenarios/variables, region- or scenario-specific time-series values, comparisons across technologies (e.g., solar vs wind), or plotting/visualizing IAM PARIS results sourced via REST_MODELS_URL/REST_API_FULL.

Scientific Computing

Seed Curriculum

Generate and load NMC CBME curriculum seed data into Prisma database. Creates subjects, modules, topics, NMC competency codes, and AETCOM modules. Use when adding new subjects or restructuring the curriculum database. Accepts a subject code or "all" as argument. Examples: /seed-curriculum AN (Anatomy), /seed-curriculum PY (Physiology), /seed-curriculum all

Scientific Computing

Avance

Protocolo de actualización atómica para el campo 'avance' en el Sistema Activa-T.

Scientific Computing

Exploratory Data Analysis

Perform comprehensive exploratory data analysis on scientific data files across 200+ file formats. This skill should be used when analyzing any scientific data file to understand its structure, content, quality, and characteristics. Automatically detects file type and generates detailed markdown reports with format-specific analysis, quality metrics, and downstream analysis recommendations. Covers chemistry, bioinformatics, microscopy, spectroscopy, proteomics, metabolomics, and general scientific data formats.

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Scientific Computing

Experiment Cycle

Run full experiment cycle from hypothesis to publishable results. Chains PoC, benchmark, visualization, and limitation analysis. Use for: complete experiment workflow, hypothesis to results, publishable experiments. Keywords: experiment cycle, full workflow, PoC to results, hypothesis validation, publishable.