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Found 816 Documents (Results 1–100)

Traveling waves in fully coupled networks of linear oscillators. (English. Russian original) Zbl 1503.34086

Comput. Math. Math. Phys. 62, No. 1, 66-83 (2022); translation from Zh. Vychisl. Mat. Mat. Fiz. 62, No. 1, 71-89 (2022).
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Introduction to Yuragi learning. (English) Zbl 1504.93400

Murata, Masayuki (ed.) et al., Fluctuation-induced network control and learning. Applying the Yuragi principle of brain and biological systems. Singapore: Springer. 113-133 (2021).
MSC:  93E35 93B70 91B06
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Yuragi-based virtual network control. (English) Zbl 1504.93147

Murata, Masayuki (ed.) et al., Fluctuation-induced network control and learning. Applying the Yuragi principle of brain and biological systems. Singapore: Springer. 89-110 (2021).
MSC:  93B70 92C42
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On the thermodynamic interpretation of deep learning systems. (English) Zbl 07495292

Nielsen, Frank (ed.) et al., Geometric science of information. 5th international conference, GSI 2021, Paris, France, July 21–23, 2021. Proceedings. Cham: Springer. Lect. Notes Comput. Sci. 12829, 909-917 (2021).
MSC:  68T07 80-XX
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The effect of inhibitory neurons on a class of neural networks. (English) Zbl 1480.92016

Mondaini, Rubem P. (ed.), Trends in biomathematics: modeling cells, flows, epidemics, and the environment. Selected works presented at the 19th BIOMAT consortium lectures, Szeged, Hungary, October 21–25, 2019. Cham: Springer. 97-109 (2020).
MSC:  92B20 34C60 34C10
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