Results & Collaboration

At Neurodiagnoses, we believe in the power of collaborative research. We encourage researchers and collaborators to leverage the following platforms to enhance our collective work in generating results and publications:

Platforms for Collaborative Research

• Papers With Code: This platform connects scientific papers with their supporting code, making it easier to find, implement, and adapt existing methods. A valuable resource for neuroinformatics, enabling researchers to explore and compare computational approaches for brain data analysis, neuronal modeling, and related areas.
• Kaggle: A hub for data science and machine learning, Kaggle offers competitions, datasets, and notebooks to foster learning and collaboration. It hosts competitions and datasets relevant to neuroscience and neuroinformatics, such as predicting neurological diseases or classifying brain images.
• OpenNeuro: An open-access repository for neuroimaging datasets, facilitating data sharing and reuse for research purposes. A crucial resource for collaborative projects requiring large and diverse datasets.
• NeuroVault: An online repository for statistical brain maps, allowing researchers to share and visualize their neuroimaging results. This platform promotes transparency and reproducibility in neuroimaging research.
• Brainhack: An organization promoting collaboration and the development of open-source tools for neuroscience. They organize events and hackathons where researchers can work together on neuroinformatics projects.
• INCF (International Neuroinformatics Coordinating Facility): An international organization coordinating and promoting the development of neuroinformatics worldwide. They offer resources, training, and collaboration opportunities for researchers in the field.
• GitHub: A widely used platform for version control and collaborative code development. Essential for managing and sharing code related to your neuroinformatics projects.
• Hugging Face: A platform specializing in machine learning models and datasets, particularly for natural language processing. While not exclusively for neuroinformatics, it can be valuable for projects involving text analysis or other machine learning applications in neuroscience.

By utilizing these platforms, we can foster a more collaborative and productive research environment, accelerating the generation of impactful results and publications in neurodiagnostics.

We encourage you to explore these resources and contact us if you have any questions or would like to discuss potential collaborations.