Learning paths

Start with the connectomics course, or choose a path for the work you want to do.

Recommended for new learners

Learn why we map the brain, how images become reconstructions, and how to interpret the results. Each lesson has examples and an exercise.

These paths combine lessons with research and professional practice. Choose one that fits your goal.

Build scientific and technical fluency in nanoscale connectomics from motivation through analysis methods.

Time: 60-70 hours of focused work, typically over 12-16 weeks

Starting point: None. Introductory biology and comfort with basic arithmetic are enough to start.

Apply concepts in practical workflows, quality control, tools, and reproducible research operations.

Time: 70-80 hours, typically over 14-18 weeks, alongside a real project

Starting point: Core Concepts & Methods, or equivalent working familiarity with EM data and reconstruction.

Navigate hidden curriculum, mentorship, professional growth, and inclusive research identity development.

Time: 35-45 hours, spread across the whole of a training period rather than completed in a block

Starting point: None. This track is relevant from week one, not only at the end.

Browse topic modules, practise proofreading, or use reference resources for a question you have now.

Study on your own or teach a group

You can work through lessons at your own pace. To run a group session, use the teaching materials and check each module’s status.

Available

One person, a browser, and public data. No cohort, no schedule.

For: Anyone working through the material on their own time, at any career stage.

Available

A facilitator runs a session. Timing, materials, and rubric are already written.

For: Instructors, mentors, and program staff running a taught session, a lab meeting, or a summer-program block.

Not built yet

A longer, contributory program that draws on this material. Not built yet.

For: Trainees working inside a lab or program on real data, producing work others will rely on.