Automatic detection of synaptic partners in a whole-brain Drosophila electron microscopy data set.

ABSTRACT: We develop an automatic method for synaptic partner identification in insect brains and use it to predict synaptic partners in a whole-brain electron microscopy dataset of the fruit fly. The predictions can be used to infer a connectivity graph with high accuracy, thus allowing fast identification of neural pathways. To facilitate circuit reconstruction using our results, we develop CIRCUITMAP, a user interface add-on for the circuit annotation tool CATMAID.

SUBMITTER: Buhmann J 

PROVIDER: S-EPMC7611460 | biostudies-literature | 2021 Jul

REPOSITORIES: biostudies-literature