Exploring Morphological Deep Learning For Connectomics
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- Loomba et al. (Science, 2022) compared neural structures in 8 Mouse, Macaque, and Human datasets. Despite the large data ...
- Authors: Abhimanyu Talwar, Zudi Lin, Donglai Wei, Yuesong Wu, Bowen Zheng, Jinglin Zhao, Won-Dong Jang, Xueying Wang, ...
- Jeff Lichtman, Harvard University.
- Jakob Troidl's Computer Science PhD Defense at Harvard University, November 18th, 2025. 00:00 Motivation 11:45 Global ...
- New techniques produce massive data about neural connectivity, necessitating new analysis methods to discover the biological ...
In-Depth Information on Morphological Deep Learning For Connectomics
David Rolnick, MIT. Models, Inference and Algorithms Broad Institute of MIT and Harvard October 13, 2021 Alyssa Wilson Seung Lab, Princeton ... Pre-event lecture for upcoming CNS Special Webinar Register now! https://www.cns.org/ Nir Shavit, MIT https://simons.berkeley.edu/talks/shavit-1 The Brain and Computation Boot Camp.
Dr Mike Sughrue, Neurosurgeon and Co-founder of Omniscient Neurotechnology, walks through how cutting edge software and ...
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