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Analysis of Cortical Connectomes

Institute for Pure & Applied Mathematics (IPAM) via YouTube

Overview

Explore a 51-minute lecture on the analysis of cortical connectomes presented by Moritz Helmstaedter from the Max Planck Institute for Brain Research. Delve into the challenges of studying neuronal circuits in the mammalian cerebral cortex, where individual neuron identification is difficult due to the presence of large sets of homotypic cells. Discover the innovative approaches developed for analyzing unsorted, unidentified large connectivity matrices in cortical connectomes. Learn about approximate Bayesian circuit model distinction and its application to columnar connectomes, as well as how it compares to conventional clustering methods. Gain insights into the connectomic analysis of synaptic plasticity models using statically mapped connectomes. Recorded on February 13, 2024, this talk is part of IPAM's Mathematical Approaches for Connectome Analysis Workshop at UCLA, offering a deep dive into cutting-edge research in neuroscience and computational biology.

Syllabus

Moritz Helmstaedter - Analysis of cortical connectomes - IPAM at UCLA

Taught by

Institute for Pure & Applied Mathematics (IPAM)

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