Mathematical Approaches for Connectome Analysis

February 12 - 16, 2024


Hulse et al. (2021), eLife; Janelia FlyEM; Aaron Carrillo

In the past few years, the scale of data sets of the wiring of neural systems (“connectomes”) has increased significantly. There are now near-complete connectomes of the central brains of Drosophila larvae and adults, volumes of mouse and human cerebral cortex, and data sets from several other species. With this increasing scale comes a need for quantitative methods to identify structure in large connectivity maps and relate it to the function of nervous systems.

The purpose of this workshop is to bring together neuroscientists who collect and study these data sets with mathematicians and other theorists who develop techniques to model and analyze networks, network dynamics, and dynamical processes on networks. We expect that crossing disciplinary boundaries will greatly facilitate progress, as neuroscientists working in connectomics often lack exposure to recent mathematical developments, while the biological and technical details that underlie connectomic data may not be familiar to mathematicians. This workshop will help define directions of future work in connectomics, with deep links to neuroscience, mathematics, and data science.


Organizing Committee

Gwyneth Card (Columbia University)
Moo K. Chung (University of Wisconsin-Madison)
Marta Costa (University of Cambridge)
Vivek Jayaraman (Janelia Research Campus)
Ashok Litwin-Kumar (Columbia University)
Marcella Noorman (Janelia Research Campus)
Mason A. Porter (University of California, Los Angeles (UCLA))
Sandro Romani (Janelia Research Campus)
Eli Shlizerman (University of Washington)