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Intro
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Serial section electron microscopy (EM)
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EM image dataset from fruit fly brain
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Software stack for petascale connectomics
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Completion of Drosophila connectome expected 2023
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What can we do with connectomes?
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What can a computer scientist do with connectomes?
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Graph reduction: 50,000 fly neurons→ 28 clusters
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Example cluster: ellipsoid body (important in navigation)
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Artificial neural networks
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Brains
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NIH BRAIN CONNECTS (beginning 2023)
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Competing proposals for exascale connectomics
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Serial section tilt series tomography
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Why is this challenging?
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Tomography with convolutional nets
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Tomography with 5 dual axis simulated tilts
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Image reconstruction from 5 dual axis simulated tilts
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How to generate ground truth from real data?
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New implementation of iterative reconstruction
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Application to mouse retina
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Plan for handling real images
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Technological revolution driven by imaging + computing
Description:
Explore a comprehensive lecture on petascale connectomics and its future developments. Delve into the world of brain connectivity mapping as Sebastian Seung from Princeton University presents groundbreaking research at IPAM's Diffractive Imaging with Phase Retrieval Workshop. Learn about the evolution of connectome reconstruction techniques, from manual labor to automated systems using convolutional neural networks. Discover the progress made in mapping the fruit fly Drosophila's connectome and ongoing efforts in cerebral cortex reconstruction. Gain insights into how connectomic information reveals innate nervous system structures and its potential impact on brain learning theories. Examine the challenges and possibilities of exascale connectomics, including plans for mapping an entire mouse brain and incorporating electron tomography for improved axial resolution. Understand the technological revolution driven by the fusion of advanced imaging techniques and computational power in neuroscience research. Read more

Petascale Connectomics and Beyond - IPAM at UCLA

Institute for Pure & Applied Mathematics (IPAM)
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