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Pattern recognition in the nucleation kinetics of non-equilibrium self-assembly | Nature

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Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript. Advertisement Nature volume 625, pages 500–507 (2024)Cite this article 17k Accesses 2 Citations 236 Altmetric Metrics details Inspired by biology’s most sophisticated computer, the brain, neural networks constitute a profound reformulation of computational principles1,2,3. Analogous high-dimensional, highly interconnected computational architectures also arise within information-processing molecular systems inside living cells, such as signal transduction cascades and genetic regulatory networks4,5,6,7. Might collective modes analogous to neural computation be found more broadly in other physical and chemical processes,

Download PDF Subjects DNA computing Statistical physics, thermodynamics and nonlinear dynamics Abstract Inspired by biology’s most sophisticated computer, the brain, neural networks constitute a profound reformulation of computational principles 1 , 2 , 3 . Analogous high-dimensional, highly interconnected computational architectures also arise within information-processing molecular systems inside living cells, such as signal transduction cascades and genetic regulatory networks 4 , 5 , 6 , 7 . Might collective modes analogous to neural computation be found more broadly in other physical and

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