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 鈥淧atterns of synchronization in 2D networks of inhibitory neurons鈥 in Frontiers in Computational Neuroscience.
This work was from collaboration with four other mathematical biologists, partially funded by聽聽through its three-year聽Structured Quartet Research Ensembles program. In this collaboration, Ryu and her collaborators extends their previous work on 1-dimensional neural networks to consider聽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聽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.
聽publishes rigorously peer-reviewed research that promotes theoretical modeling of brain function and fosters multidisciplinary interactions between theoretical and experimental neuroscience.
闯.听惭颈濒濒别谤,听贬.听搁测耻*,聽X.聽Wang, V.聽Booth, and S.A.聽Campbell.聽,聽to appear聽in聽Frontiers in Computational Neuroscience,聽2022聽(*listed as co-first聽author).