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工程细菌通过多细胞人工神经网络类型架构将3位二进制代码转换为3位灰色代码

Saswata Chakraborty^1,2, Sangram Bagh^1,2

¹Biophysics and Structural Genomics Division, Saha Institute of Nuclear Physics, Block AF, Sector-I, Bidhannagar, Kolkata 700064, India.

ACS synthetic biology

|May 7, 2025

概括

经过基因工程改造的大肠杆菌细胞形成了一个新型的人工神经网络 (ANN),能够进行二进制到灰色代码的转换. 这种合成生物学方法推进了生物计算机技术和细菌ANN.

科学领域:

合成生物学合成生物学
生物计算是一种生物计算.
人工神经网络的人工神经网络

背景情况:

使用工程细胞的神经形态计算正在出现,具有复杂问题解决的潜力.
扩展计算功能是推动基于细胞的计算的关键.
二进制到灰色代码转换是一个基础的数字电子概念.

研究的目的:

创建一个单层人工神经网络 (ANN) 使用基因工程大肠杆菌.
为了展示ANN作为3位二进制到灰色代码转换器的功能.

主要方法:

在液体培养中利用基因工程的大肠杆菌种群.
实现了一个化学输入系统,表示二进制代码 (1/0).
通过三种光蛋白的表达,检测到转换的灰色代码.

主要成果:

成功设计了大肠杆菌以执行3位二进制到灰色代码的转换.
在细菌群体中建立了一个功能性的ANN架构.
证明了化学输入和光输出用于计算的可行性.

结论:

这项工作介绍了一种能够进行基本代码转换的新型生物计算机.
突出了细菌ANN和合成生物学在生物计算机开发中的潜力.
用工程细胞为更复杂的计算函数铺平了道路.

关键词:

人工神经网络的人工神经网络生物计算机是一个生物计算机.蜂设备蜂设备蜂设备代码转换器代码转换器合成生物学合成生物学

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