Connectionists: [Call for Participation] Jan 20, 4pm CET | Free Virtual ICM Seminar on reconstructing all neurons in a fly brain at nanometer resolution

Alicja Pucyk a.pucyk at icm.edu.pl
Tue Jan 18 04:30:43 EST 2022


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21. Virtual ICM Seminar with Sven Dorkenwald from Princeton University =============================================================

TITLE: Towards whole-brain Connectomes: Reconstructing all neurons in a fly brain at nanometer resolution
DATE: Thursday, January 20, 2022 | 4pm CST 

FREE registration: https://supercomputingfrontiers.eu/2022/seminars/

ICM University of Warsaw alongside the creator of this series dr Marek Michalewicz are proud to invite everyone to #VirtualICMSeminar with Sven Dornekwald who is developing systems, infrastructure and machine learning methods to facilitate the analysis of large-scale connectomics datasets called FlyWire.ai

Don't miss it! Register NOW.

_Abstract
Comprehensive neuronal wiring diagrams derived from Electron Microscopy images allow researchers to test models of how brain circuits give rise to neuronal activity and drive behavior. Due to advances in automated image acquisition and analysis, whole-brain connectomes with thousands of neurons are finally on the horizon. However, many person-years of manual proofreading are still required to correct errors in these automated reconstructions. We created FlyWire to facilitate the proofreading of neuronal circuits in an entire fly brain by a community of researchers distributed across the world. While FlyWire is dedicated to the fly brain, its methods will be generally applicable to whole-brain connectomics and are already in use to proofread multiple datasets. In this talk I will describe how FlyWire’s computational and social structures are organized to scale up to whole-brain connectomics and present on our progress towards the generation of a proofread whole-brain connec!
 tome of the fruit fly.

_BIOSKETCH
Sven Dorkenwald is currently a PhD student in the Seung Lab at Princeton University. In his PhD he is developing systems, infrastructure and machine learning methods to facilitate the analysis of large-scale connectomics datasets. Together with collaborators at the Allen Institute for Brain Science, he developed proofreading and annotation infrastructure that is used to host multiple large-scale connectomics datasets and runs FlyWire. FlyWire.ai is an online community for proofreading neural circuits in a whole fly brain based on the FAFB EM dataset.






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