Awesome Computational Neuroscience is a curated list of schools and researchers dedicated to computational neuroscience, theoretical neuroscience, and systems neuroscience. It aims to provide a comprehensive global perspective, assisting researchers in identifying potential advisors and institutions. The list features prominent PIs, biographies, and publications, categorized by computational expertise levels.
This repository stands out by offering a global, organized directory of researchers across various institutions. It differentiates itself through a subjective computational expertise rating system, providing insights into the extent of computational involvement at each institution. The list's detailed structure, including links to biographies and publications, enhances its practical utility for researchers.
- Global Coverage: Includes researchers and institutions across Europe, North America, and other regions, providing a broad overview of the field.
- Computational Expertise Rating: Offers insights into the degree of computational emphasis at each institution, aiding in targeted searches.
- Comprehensive Researcher Profiles: Provides links to biographies and publications for each listed researcher.
- Organized by Region: Categorizes resources by geographical location for easier navigation and targeted searches.
- Up-to-date Information: Regularly updated to reflect the latest research and institutional changes within the field.
- Contributor Guidelines: Offers clear instructions for contributing new researchers and institutions to maintain data freshness.
- Easy Navigation: Features a table of contents structure for quick access to specific regions and institutions.
The Awesome Computational Neuroscience list has been actively maintained since 2018, indicating ongoing support and relevance. Regular updates and a substantial number of forks suggest a vibrant community. Frequent commits demonstrate continued development and maintenance. The detailed structure and the subjective ratings indicate a high level of effort in maintaining data quality.
This repository is a valuable resource for students, researchers, and professionals in computational neuroscience. It facilitates connections between individuals and institutions, enabling informed decision-making regarding research opportunities and collaborations. By offering a structured overview and detailed information, it streamlines the process of identifying relevant contacts and institutions in the field.