A Spotlight on What to Learn for Neural Reconstruction from EM Data

Event Sponsor: 
Argonne Leadership Computing Facility Seminar
Start Date: 
Mar 16 2018 - 10:30am
Building 240/Room 4301
Argonne National Laboratory
Toufiq U. Parag
Speaker(s) Title: 
Harvard University
Venkat Vishwanath and Elise Jennings

The goal of EM neural reconstruction, or connectomics, is to discover the neural wiring diagram from Electron Microscopic (EM) images of animal brain tissue. Computational framework for EM reconstruction typically consists of machine vision tasks such as volume segmentation, synaptic connectivity detection etc. In this talk, I will present the insights gathered from multiple connectomic reconstructions from EM images collected from different animals with different imaging techniques. In particular, I will emphasize on defining target functions (analytical or non-analytical mapping) for learning segmentation, synapse detection to achieve optimal performance. The presentation will include quantitative and qualitative results from methods designed for different connectomic tasks as well as some discussions on large scale computation and potential future directions.

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