{"title":"CORtEX 2022 Invited Speaker 4: Large-scale simulations of mammalian brains using peta- to exa-scale computing","authors":"J. Igarashi","doi":"10.1109/IPDPSW55747.2022.00216","DOIUrl":null,"url":null,"abstract":"A whole-brain simulation allows us to investigate all interactions among neurons in the brain to understand the mechanisms of information processing and brain diseases. The computational performance of exascale supercomputers in the 2020s is estimated to realize whole-brain simulation at a human scale. However, it has not been realized to sufficiently reproduce and predict neural behaviors and functionality of the whole brain due to the lack of computational resources, physiological and anatomical data, brain models, and neural network simulators. We have studied large-scale brain simulations with various supercomputers toward whole brain simulations. In this talk, we will introduce studies on developing efficient spiking neural simulators, modeling brain disease, and large-scale simulations of the cortico-cerebello-thalamic circuit using the supercomputer Fugaku.","PeriodicalId":286968,"journal":{"name":"2022 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IPDPSW55747.2022.00216","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
A whole-brain simulation allows us to investigate all interactions among neurons in the brain to understand the mechanisms of information processing and brain diseases. The computational performance of exascale supercomputers in the 2020s is estimated to realize whole-brain simulation at a human scale. However, it has not been realized to sufficiently reproduce and predict neural behaviors and functionality of the whole brain due to the lack of computational resources, physiological and anatomical data, brain models, and neural network simulators. We have studied large-scale brain simulations with various supercomputers toward whole brain simulations. In this talk, we will introduce studies on developing efficient spiking neural simulators, modeling brain disease, and large-scale simulations of the cortico-cerebello-thalamic circuit using the supercomputer Fugaku.