Human Connectome Project

The key bottleneck with all connectome projects is still reconstruction. There's on the order of a hundred billion neurones in the human brain; they're connected via 1,000-10,000 times the number of synapses. Current machine learning approaches are decent, but still require massive amounts of proof-reading.

Circuit neuroscience in Drosophila or the mammalian retina suggests neurones and synapses are indeed the level of detail we'll need in order to gain insight into computational mechanisms. So we're a long, long way off -- don't be too impressed by this particular dataset (which is insanely coarse!).

This project and particular site have been around, largely unchanged, for many years.

The WU-Minn side of the project is seemingly more active, and their dataset is much, much easier to obtain: http://humanconnectome.org/data/. Their scripts for processing the data are up on github at https://github.com/Washington-University/Pipelines.

What level of detail is available from this data?