{"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":"20 11","pages":"1524-1534"},"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}
引用次数: 0
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.
期刊介绍:
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