We train networks from human generated point annotations to identify post-synaptic sites and direction vectors pointing to their pre-synaptic partners.pic.twitter.com/VZXBSiLvwm
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We train networks from human generated point annotations to identify post-synaptic sites and direction vectors pointing to their pre-synaptic partners.pic.twitter.com/VZXBSiLvwm
Processing all of the fifty-teravoxel #FAFB took 3 days on 80 GPUs and resulted in 244 million putative synaptic partners. Predictions are publicly available, together with a #CATMAID application by @unidesigner to query the data.https://github.com/funkelab/synful_fafb …
The predictions can be used together with a neuron segmentation to infer a connectivity graph with high accuracy: 96% of edges between connected neurons are correctly classified as weakly connected (less than five synapses) and strongly connected (at least five synapses).pic.twitter.com/05R9LsQ8uK
I saw @julia_buhmann give a great presentation on this a few weeks ago. It's a really nice resource and we're looking forward to trying it out on more of our neurons of interest. Also want to give a shout out to Philipp Schlegel @uni_matrix @flyconnectome re our contribution.
WOW, congrats!
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