Pursuit of connectomics: Looking for a needle in a haystack
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  • Pursuit of connectomics: Looking for a needle in a haystack

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Date: 22 September Monday, 13:40 -14:40  / FENS 2019
Place: to be announced (will send a message in the morning after the place is fixed by our faculty assistant)

Title: Pursuit of connectomics: Looking for a needle in a haystack



Biological networks posing tree like structures are ubiquitous in 3D biomedical images, i.e. airways, vascular, and neuronal networks. Functionality and structure knowledge of such networks at their finest level, e.g. bronchia, vessel and dendrite, bear great importance to understand the overall response at a coarse level of a more complex healthy or diseased system such as circulatory and nervous. In this talk, I will discuss recent advances in neuroinformatics toward system level inference. I will first talk about the acquisition and analysis of large-scale data, in particular, the construction of a large-scale neural networks and then, how such networks can potentially be used to analyze synapse populations. The first is on large-scale pattern recognition and image processing. The second is about clustering analysis of neurons using Monte-Carlo simulations.


Short bio: 

Erhan Bas received his B.Sc in Electrical and Electronics Engineering and in Physics in 2005 from the Middle East Technical University, Turkey. He obtained his M.Sc. in Electrical and Computer Engineering from Koc University, Turkey in 2007 and his Ph.D. in Electrical Engineering from Northeastern University, USA in 2011. Before joining to Image Analytics Lab at GE Global Research Center, as a research scientist in 2012, he was a research associate in Eugene Myers's Lab in Janelia Farm Research Campus of the Howard Hughes Medical Institute. His research interests include machine vision and statistical pattern recognition. He is particularly interested in selfadapting tools based on data-driven models as well as cognitive systems that are aware of the contextual information associated with the data. He serves as an associate member of IEEE Bio Imaging and Signal Processing Technical Committee and is a member of IEEE, EMBS, and HKN Eta Kappa Nu.