A quick overview of computational neuroscience

  • COSYNE (Computational and Systems Neuroscience)
    Website: https://cosyne.org/
    Description: An annual conference that focuses on the intersection of computational and systems neuroscience.

    You can skim the program books of past COSYNE conferences to get a quick overview of what are the ongoing research topics in computational neuroscience.

  • Methods in Computational Neuroscience Summer School
    Website
    Description: A summer school that provides intensive training in computational neuroscience methods. Taught by leading experts in the field, it covers a wide range of topics from neural coding to network dynamics.

    The lecture notes and video recordings from past summer schools are available online and can serve as a great resource for learning the fundamentals of computational neuroscience.

  • Neuro Match Academy
    Website
    Description: An online summer school that offers courses in computational neuroscience and machine learning. It is designed to be accessible to a wide audience, including those new to the field.

    The course materials, including lecture videos, slides, and assignments, are freely available online and provide a comprehensive introduction to various topics in computational neuroscience.

  • Computational and Cognitive Neuroscience Summer School (CCNSS)
    Website
    Description: A three-week summer school designed to emphasize computational principles and neural circuit mechanisms of higher cognitive functions.

  • CNeuro Summer School
    Website
    Description: A one-week summer school that focuses on computational neuroscience.

    The lecture materials and recordings from past summer schools are available online and can be a valuable resource for learning about computational neuroscience.

Learn Neuroscience

  • iBiology
    Description: iBiology provides free online videos by leading scientists covering a wide range of topics in neuroscience. The videos are designed to be accessible to a broad audience, including students and researchers.

Machine learning

Neural networks

Diffusion model

Reinforcement learning