{"title":"正在进行的工作:在FPGA上模拟生物组织","authors":"Jerry Jacob, Sucheta Sehgal, Nitish D. Patel","doi":"10.1109/cases55004.2022.00026","DOIUrl":null,"url":null,"abstract":"Models have been formulated to emulate various biological cells’ action potentials (AP). Most of these are computationally expensive and unsuitable for FPGA implementations. The Resonant Model (RM) is an alternative that offers good accuracy with real-time FPGA implementation. This WIP charts the RM validation path for tissue level emulation.","PeriodicalId":331181,"journal":{"name":"2022 International Conference on Compilers, Architecture, and Synthesis for Embedded Systems (CASES)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Work in Progress: Emulation of biological tissues on an FPGA\",\"authors\":\"Jerry Jacob, Sucheta Sehgal, Nitish D. Patel\",\"doi\":\"10.1109/cases55004.2022.00026\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Models have been formulated to emulate various biological cells’ action potentials (AP). Most of these are computationally expensive and unsuitable for FPGA implementations. The Resonant Model (RM) is an alternative that offers good accuracy with real-time FPGA implementation. This WIP charts the RM validation path for tissue level emulation.\",\"PeriodicalId\":331181,\"journal\":{\"name\":\"2022 International Conference on Compilers, Architecture, and Synthesis for Embedded Systems (CASES)\",\"volume\":\"14 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 International Conference on Compilers, Architecture, and Synthesis for Embedded Systems (CASES)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/cases55004.2022.00026\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 International Conference on Compilers, Architecture, and Synthesis for Embedded Systems (CASES)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/cases55004.2022.00026","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Work in Progress: Emulation of biological tissues on an FPGA
Models have been formulated to emulate various biological cells’ action potentials (AP). Most of these are computationally expensive and unsuitable for FPGA implementations. The Resonant Model (RM) is an alternative that offers good accuracy with real-time FPGA implementation. This WIP charts the RM validation path for tissue level emulation.