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Realization of Associative Memory in an Enzymatic Process: Towards Biomolecular Networks with Learning and Unlearning Functionalities

机译:在酶促过程中实现联想记忆:走向   具有学习和学习功能的生物分子网络

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摘要

We report a realization of an associative memory signal/informationprocessing system based on simple enzyme-catalyzed biochemical reactions.Optically detected chemical output is always obtained in response to thetriggering input, but the system can also "learn" by association, to laterrespond to the second input if it is initially applied in combination with thetriggering input as the "training" step. This second chemical input is notself-reinforcing in the present system, which therefore can later "unlearn" toreact to the second input if it is applied several times on its own. Suchprocessing steps realized with (bio)chemical kinetics promise applications ofbio-inspired/memory-involving components in "networked" (concatenated)biomolecular processes for multi-signal sensing and complex informationprocessing.
机译:我们报告了一个基于简单的酶催化生化反应的联想记忆信号/信息处理系统的实现。光学检测的化学输出总是响应触发输入而获得,但是该系统也可以通过关联“学习”,以稍后响应第二个如果最初将其与触发输入结合使用,则作为“训练”步骤。该第二化学输入在本系统中不是自我增强的,因此,如果第二化学输入自身被施加多次,则稍后可以“学习”对第二输入的反应。通过(生物)化学动力学实现的此类处理步骤有望将生物启发/涉及内存的组件应用于“网络”(级联)生物分子过程中,以进行多信号传感和复杂的信息处理。

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