{"title":"多细胞人工神经网络型架构展示计算问题解决方法","authors":"Deepro Bonnerjee, Saswata Chakraborty, Biyas Mukherjee, Ritwika Basu, Abhishek Paul, Sangram Bagh","doi":"10.1038/s41589-024-01711-4","DOIUrl":null,"url":null,"abstract":"Here, we report a modular multicellular system created by mixing and matching discrete engineered bacterial cells. This system can be designed to solve multiple computational decision problems. The modular system is based on a set of engineered bacteria that are modeled as an ‘artificial neurosynapse’ that, in a coculture, formed a single-layer artificial neural network-type architecture that can perform computational tasks. As a demonstration, we constructed devices that function as a full subtractor and a full adder. The system is also capable of solving problems such as determining if a number between 0 and 9 is a prime number and if a letter between A and L is a vowel. Finally, we built a system that determines the maximum number of pieces of a pie that can be made for a given number of straight cuts. This work may have importance in biocomputer technology development and multicellular synthetic biology. A modular multicellular system has been created by mixing and matching discrete engineered bacterial cells in an artificial neural network-type architecture. The system is capable of solving multiple computational decision problems like identifying a number as prime and a letter as a vowel.","PeriodicalId":18832,"journal":{"name":"Nature chemical biology","volume":null,"pages":null},"PeriodicalIF":12.9000,"publicationDate":"2024-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Multicellular artificial neural network-type architectures demonstrate computational problem solving\",\"authors\":\"Deepro Bonnerjee, Saswata Chakraborty, Biyas Mukherjee, Ritwika Basu, Abhishek Paul, Sangram Bagh\",\"doi\":\"10.1038/s41589-024-01711-4\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Here, we report a modular multicellular system created by mixing and matching discrete engineered bacterial cells. This system can be designed to solve multiple computational decision problems. The modular system is based on a set of engineered bacteria that are modeled as an ‘artificial neurosynapse’ that, in a coculture, formed a single-layer artificial neural network-type architecture that can perform computational tasks. As a demonstration, we constructed devices that function as a full subtractor and a full adder. The system is also capable of solving problems such as determining if a number between 0 and 9 is a prime number and if a letter between A and L is a vowel. Finally, we built a system that determines the maximum number of pieces of a pie that can be made for a given number of straight cuts. This work may have importance in biocomputer technology development and multicellular synthetic biology. A modular multicellular system has been created by mixing and matching discrete engineered bacterial cells in an artificial neural network-type architecture. The system is capable of solving multiple computational decision problems like identifying a number as prime and a letter as a vowel.\",\"PeriodicalId\":18832,\"journal\":{\"name\":\"Nature chemical biology\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":12.9000,\"publicationDate\":\"2024-09-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Nature chemical biology\",\"FirstCategoryId\":\"99\",\"ListUrlMain\":\"https://www.nature.com/articles/s41589-024-01711-4\",\"RegionNum\":1,\"RegionCategory\":\"生物学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"BIOCHEMISTRY & MOLECULAR BIOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nature chemical biology","FirstCategoryId":"99","ListUrlMain":"https://www.nature.com/articles/s41589-024-01711-4","RegionNum":1,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BIOCHEMISTRY & MOLECULAR BIOLOGY","Score":null,"Total":0}
引用次数: 0
摘要
在这里,我们报告了一种通过混合和匹配离散工程细菌细胞而创建的模块化多细胞系统。该系统可用于解决多种计算决策问题。该模块化系统基于一组被模拟为 "人工神经突触 "的工程细菌,它们在共培养过程中形成了一个可执行计算任务的单层人工神经网络型结构。作为演示,我们构建了具有全减法器和全加法器功能的装置。该系统还能解决一些问题,如判断 0 到 9 之间的数字是否为质数,以及 A 到 L 之间的字母是否为元音。最后,我们建立了一个系统,它能确定在给定的直切次数下,最多能做出多少块馅饼。这项工作可能对生物计算机技术发展和多细胞合成生物学具有重要意义。
Multicellular artificial neural network-type architectures demonstrate computational problem solving
Here, we report a modular multicellular system created by mixing and matching discrete engineered bacterial cells. This system can be designed to solve multiple computational decision problems. The modular system is based on a set of engineered bacteria that are modeled as an ‘artificial neurosynapse’ that, in a coculture, formed a single-layer artificial neural network-type architecture that can perform computational tasks. As a demonstration, we constructed devices that function as a full subtractor and a full adder. The system is also capable of solving problems such as determining if a number between 0 and 9 is a prime number and if a letter between A and L is a vowel. Finally, we built a system that determines the maximum number of pieces of a pie that can be made for a given number of straight cuts. This work may have importance in biocomputer technology development and multicellular synthetic biology. A modular multicellular system has been created by mixing and matching discrete engineered bacterial cells in an artificial neural network-type architecture. The system is capable of solving multiple computational decision problems like identifying a number as prime and a letter as a vowel.
期刊介绍:
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