Juyong Song

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We study the self-organization of binary cell mixtures in finite cubic lattices. Depending on the relative attractions between cell types, the binary mixture model generates four distinct cellular associations: complete sorting, shell-core sorting, partial mixing, and complete mixing of heterotypic cells. At the boundaries between these four phases, the(More)
Feedforward neural networks have been investigated to understand learning and memory, as well as applied to numerous practical problems in pattern classification. It is a rule of thumb that more complex tasks require larger networks. However, the design of optimal network architectures for specific tasks is still an unsolved fundamental problem. In this(More)
Juyong Song,1, 2, 3 Matteo Marsili,3, ∗ and Junghyo Jo1, 2, 4, † Asia Pacific Center for Theoretical Physics, Pohang, Gyeongbuk 37673, Korea Department of Physics, Pohang University of Science and Technology, Pohang, Gyeongbuk 37673, Korea The Abdus Salam International Centre for Theoretical Physics, Strada Costiera 11, 34014 Trieste, Italy School of(More)
Danh-Tai Hoang,1, 2 Juyong Song,3, 4 Vipul Periwal,1, ∗ and Junghyo Jo3, 4, † Laboratory of Biological Modeling, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, Maryland 20892, USA Department of Natural Sciences, Quang Binh University, Dong Hoi, Quang Binh 510000, Vietnam Asia Pacific Center for(More)
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