Title
Who Is Talking to Whom: Synaptic Partner Detection in Anisotropic Volumes of Insect Brain
Abstract
Automated reconstruction of neural connectivity graphs from electron microscopy image stacks is an essential step towards large-scale neural circuit mapping. While significant progress has recently been made in automated segmentation of neurons and detection of synapses, the problem of synaptic partner assignment for polyadic one-to-many synapses, prevalent in the Drosophila brain, remains unsolved. In this contribution, we propose a method which automatically assigns pre- and postsynaptic roles to neurites adjacent to a synaptic site. The method constructs a probabilistic graphical model over potential synaptic partner pairs which includes factors to account for a high rate of one-to-many connections, as well as the possibility of the same neuron to be pre-synaptic in one synapse and post-synaptic in another. The algorithm has been validated on a publicly available stack of ssTEM images of Drosophila neural tissue and has been shown to reconstruct most of the synaptic relations correctly.
Year
DOI
Venue
2015
10.1007/978-3-319-24553-9_81
MICCAI
Keywords
Field
DocType
Circuit reconstruction,graphical model,electron microscopy
Graph,Synapse,Pattern recognition,Segmentation,Computer science,Postsynaptic potential,Artificial intelligence,Probabilistic logic,Graphical model,Neuron
Conference
Volume
ISSN
Citations 
9349
0302-9743
2
PageRank 
References 
Authors
0.41
8
4
Name
Order
Citations
PageRank
Anna Kreshuk185.02
Jan Funke2507.48
Albert Cardona310110.20
Fred A. Hamprecht496276.24