Hwayeon Ryu, assistant professor of mathematics, published a paper in Frontiers in Computational Neuroscience on investigating patterns of synchronization and clustering in 2-dimensional inhibitory neural networks.
Assistant Professor of Mathematics Hwayeon Ryu has published a peer-reviewed paper titled “Patterns of synchronization in 2D networks of inhibitory neurons” in Frontiers in Computational Neuroscience.
This work was from collaboration with four other mathematical biologists, partially funded by American Institute of Mathematics through its three-year Structured Quartet Research Ensembles program. In this collaboration, Ryu and her collaborators extends their previous work on 1-dimensional neural networks to consider a 2-dimensional discrete network model, where neurons are coupled to two or more nearest neighbors in three directions (horizontal, vertical, and diagonal). Their model results exhibit clustered firing behavior that cannot be predicted as a simple generalization of a 1-dimensional network, and that heterogeneity of coupling can be an important factor in determining which patterns are stable.
Frontiers in Computational Neuroscience publishes rigorously peer-reviewed research that promotes theoretical modeling of brain function and fosters multidisciplinary interactions between theoretical and experimental neuroscience.
J. Miller, H. Ryu*, X. Wang, V. Booth, and S.A. Campbell. Patterns of synchronization in 2D networks of inhibitory neurons, to appear in Frontiers in Computational Neuroscience, 2022 (*listed as co-first author).