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    All product names, logos, and brands are the property of their respective owners. All company, product, and service names used in this repository, related repositories, and associated websites are for identification purposes only. The use of these names, logos, and brands does not imply endorsement, affiliation, or sponsorship. This directory may include content generated by artificial intelligence.
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    3. Awesome Neuroscience

    Awesome Neuroscience

    A curated Awesome list of resources related to the study of the nervous system and brain, including tools, datasets, and references.

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    Information

    Websitegithub.com
    PublishedDec 25, 2025

    Categories

    1 Item
    Themed Directories

    Tags

    3 Items
    #neuroscience#research#awesome-lists

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    Awesome Neuroscience

    URL: https://github.com/analyticalmonk/awesome-neuroscience#readme
    Category: Themed Directories
    Tags: neuroscience, research, awesome-lists

    Overview

    Awesome Neuroscience is a curated GitHub directory of neuroscience-related resources, focusing on libraries, software, datasets, and learning materials connected to the study of the nervous system and brain. It follows the general "Awesome" list format popularized on GitHub.

    Features

    • Curated Awesome List

      • Organized collection of high-quality neuroscience resources.
      • Follows the sindresorhus "Awesome" list conventions (badge, structure, contribution guidelines).

    • Programming Tools & Libraries

      • Section dedicated to software, libraries, and frameworks relevant to neuroscience.
      • Subsections by language:
        • Python – neuroscience-related packages, tools, and frameworks (e.g., for analysis, simulation, modeling).
        • Matlab – toolboxes and scripts used in neuroscience research and data analysis.
        • C++ – libraries for high-performance simulation and computation.
        • JavaScript – tools for web-based visualization or interactive neuroscience applications.
        • R – packages for statistical analysis and visualization of neuroscience data.

    • Learning & Reference Resources

      • Ebooks – digital books and references related to neuroscience.
      • Blogs – curated list of blogs discussing neuroscience topics, research, and commentary.
      • MOOCs – Massive Open Online Courses related to neuroscience and brain science.

    • Community & Contribution Structure

      • code-of-conduct.md defining expected behavior for contributors.
      • contributing.md with guidelines for adding new resources and maintaining list quality.
      • Version-controlled via GitHub with visible commit history and evolution.

    Target Audience

    • Neuroscientists and neuroscience students.
    • Developers building neuroscience-related tools.
    • Researchers seeking software, datasets, and references for brain and nervous-system studies.
    • Learners looking for structured ebooks, blogs, and MOOCs on neuroscience.

    Pricing

    • Access is free; this is an open GitHub repository and community-driven resource list.