Free SKILL.md scraped from GitHub. Clone the repo or copy the file directly into your Claude Code skills directory.
npx versuz@latest install hiyenwong-ai-collection-collection-skills-computational-neuroscience-linguistics-braingit clone https://github.com/hiyenwong/ai_collection.gitcp ai_collection/SKILL.MD ~/.claude/skills/hiyenwong-ai-collection-collection-skills-computational-neuroscience-linguistics-brain/SKILL.md--- name: computational-neuroscience-linguistics-brain version: 1.0.0 category: ai_collection tags: [linguistics, computational-neuroscience, brain-language, LLM, neural-models, language-processing] activation_keywords: [linguistics, brain language, computational neuroscience language, LLM brain, neural linguistic, Chomsky] created: 2026-04-24 source: arXiv:2602.08275 description: Skill for computational neuroscience linguistics brain --- # Linguistics and Human Brain: Computational Neuroscience Perspective ## Overview Interdisciplinary review bridging linguistic theory and neuroscience through computational models. Formalizes the hierarchical and dynamic structures of language into testable neural models, enabling computational dialogue between linguistic hypotheses and neural mechanisms. ## Key Themes ### 1. Language-Brain Relationship - Hierarchical structure processing in cortex (syntax trees mapped to neural circuits) - Dynamic neural representations of phonology, morphology, syntax, semantics - Brain regions: Broca's area, Wernicke's area, angular gyrus, temporal lobe ### 2. Computational Neuroscience Methods for Language - Neural network models of language processing - fMRI/EEG/MEG analysis of linguistic stimuli - Computational models of syntactic parsing and semantic composition ### 3. LLMs as Brain Models - Comparing LLM internal representations with neural recordings - Transformer attention patterns vs cortical processing - Scaling laws and brain-like generalization ### 4. Bridging Theory and Neural Data - Minimalist Program mapped to neural circuit models - Dependency parsing in neural populations - Information-theoretic approaches to language in the brain ## Applications - Brain-computer interfaces for language restoration - Understanding language disorders (aphasia, dyslexia) - Multilingual brain representation studies - LLM interpretability via neuroscience parallels ## Authors Fudong Zhang, Bo Chai, Yujie Wu, Wai Ting Siok, Nizhuan Wang ## References - arXiv:2602.08275 (2026-02-09) ## Activation Keywords - computational-neuroscience-linguistics-brain - computational neuroscience linguistics - computational neuroscience linguistics brain ## Tools Used - `read` - 读取技能文档 - `write` - 创建输出 - `exec` - 执行相关命令 ## Instructions for Agents 1. 理解技能的核心方法论 2. 根据用户问题提供针对性回答 3. 遵循最佳实践 ## Examples ### Example 1: 基本查询 **User:** 请解释 Computational Neuroscience Linguistics Brain **Agent:** Computational Neuroscience Linguistics Brain 是关于...