A curated directory of academic institutions and principal investigators in computational neuroscience worldwide.
Awesome Computational Neuroscience is a curated GitHub repository that serves as a directory of academic institutions and researchers in the field of computational neuroscience. It compiles information on universities, principal investigators, and their research areas to help students and researchers navigate graduate programs and find advisors. The project aims to provide a global perspective on the field and simplify the application process for academic opportunities.
Graduate students, postdoctoral researchers, and academics seeking programs or collaborators in computational neuroscience. It is also useful for educators and institutions looking to map the landscape of research in this interdisciplinary field.
Unlike generic academic search tools, this directory is specifically tailored to computational neuroscience, offering curated entries with a unique focus metric. It is community-maintained, open-source, and designed to reduce the friction of finding relevant programs and advisors across the globe.
A list of schools and researchers in computational neuroscience
Open-Awesome is built by the community, for the community. Submit a project, suggest an awesome list, or help improve the catalog on GitHub.
Organizes universities and labs by geographic regions like Europe and North America, providing a structured way to explore programs worldwide, as shown in the detailed table of contents.
Includes principal investigator profiles with research area summaries, publication links, and a unique +/=/- computational focus rating to help gauge expertise, directly referenced in the README.
Explicitly aims to simplify graduate school applications by centralizing information on programs and advisors, with notes on admission requirements for specific universities.
Maintained as an open-source GitHub repository with contribution guidelines, allowing for collaborative updates and fostering an open academic community.
The +/=/- computational metric is admitted to be subjective in the README, leading to potential biases and variability in assessing researchers' focus over time.
Currently focuses on select regions like Europe and North America, and as a community-maintained list, it may lack comprehensive updates or include stale information without regular contributions.
It's a markdown-based list without built-in search, filtering, or API access, making it cumbersome for dynamic queries compared to dedicated academic databases.