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Mine your own view: A self-supervised approach for learning representations from neural activity

Difficulty level

Much like neuroinformatics, data science uses techniques from computational science to derive meaningful results from large complex datasets. In this session, we will explore the relationship between neuroinformatics and data science, by emphasizing a range of data science approaches and activities, ranging from the development and application of statistical methods, through the establishment of communities and platforms, and through the implementation of open-source software tools. Rather than rigid distinctions, in the data science of neuroinformatics, these activities and approaches intersect and interact in dynamic ways. Together with a panel of cutting-edge neuro-data-scientist speakers, we will explore these dynamics


This lecture covers self-supervision as it relates to neural data tasks and the Mine Your Own vieW (MYOW) approach.

Topics covered in this lesson
  • Motivation
  • What is self-supervision?
  • What’s a good self-supervised task for neural data?
  • Mine Your Own vieW (MYOW)
  • Results
    • neural recordings
      • movement
      • sleep
    • image datasets