Fluctuation-Induced Network Control and Learning: Applying the Yuragi Principle of Brain and Biological Systems
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From theory to application, this book presents research on biologically and braininspired networking and machine learning based on Yuragi, which is the Japanese term describing the noise or fluctuations that are inherently used to control the dynamics of a system. The Yuragi mechanism can be found in various biological contexts, such as in gene expression dynamics, molecular motors in muscles, or the visual recognition process in the brain. Unlike conventional network prools that are usual...






















