Differentiable programming for functional connectomics

1 code implementation • 31 May 2022 • Rastko Ciric, Armin W. Thomas, Oscar Esteban, Russell A. Poldrack

We introduce a new analytic paradigm and software toolbox that implements common operations used in functional connectomics as fully differentiable processing blocks.

Denoising

Efficient Coding in the Economics of Human Brain Connectomics

1 code implementation • 14 Jan 2020 • Dale Zhou, Christopher W. Lynn, Zaixu Cui, Rastko Ciric, Graham L. Baum, Tyler M. Moore, David R. Roalf, John A. Detre, Ruben C. Gur, Raquel E. Gur, Theodore D. Satterthwaite, Danielle S. Bassett

In doing so, we introduce the metric of compression efficiency, which quantifies the trade-off between lossy compression and transmission fidelity in structural networks.

Influence of Neighborhood SES on Functional Brain Network Development

no code implementations • 20 Jul 2018 • Ursula A. Tooley, Allyson P. Mackey, Rastko Ciric, Kosha Ruparel, Tyler M. Moore, Ruben C. Gur, Raquel E. Gur, Theodore D. Satterthwaite, Danielle S. Bassett

We quantitatively characterize this topology using a local measure of network segregation known as the clustering coefficient, and find that it accounts for a greater degree of SES-associated variance than meso-scale segregation captured by modularity.

Neurons and Cognition