Future projections for mammalian whole-brain simulations based on technological trends in related fields
Large-scale brain simulation allows us to understand the interaction of vast numbers of neurons having nonlinear dynamics to help understand the information processing mechanisms in the brain. The scale of brain simulations continues to rise as computer performance improves exponentially. However, a...
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Elsevier
2025-06-01
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| Series: | Neuroscience Research |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S016801022400138X |
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| author | Jun Igarashi |
| author_facet | Jun Igarashi |
| author_sort | Jun Igarashi |
| collection | DOAJ |
| description | Large-scale brain simulation allows us to understand the interaction of vast numbers of neurons having nonlinear dynamics to help understand the information processing mechanisms in the brain. The scale of brain simulations continues to rise as computer performance improves exponentially. However, a simulation of the human whole brain has not yet been achieved as of 2024 due to insufficient computational performance and brain measurement data. This paper examines technological trends in supercomputers, cell type classification, connectomics, and large-scale activity measurements relevant to whole-brain simulation. Based on these trends, we attempt to predict the feasible timeframe for mammalian whole-brain simulation. Our estimates suggest that mouse whole-brain simulation at the cellular level could be realized around 2034, marmoset around 2044, and human likely later than 2044. |
| format | Article |
| id | doaj-art-c8c34b84a62345cbb3f041a7d13b31d8 |
| institution | OA Journals |
| issn | 0168-0102 |
| language | English |
| publishDate | 2025-06-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Neuroscience Research |
| spelling | doaj-art-c8c34b84a62345cbb3f041a7d13b31d82025-08-20T01:52:42ZengElsevierNeuroscience Research0168-01022025-06-01215647610.1016/j.neures.2024.11.005Future projections for mammalian whole-brain simulations based on technological trends in related fieldsJun Igarashi0Correspondence to: S407, Brain Science Central Building, 2-1 Hirosawa, Wako-shi, Saitama 351-0198, Japan.; High Performance Artificial Intelligence Systems Research Team, Center for Computational Science, RIKEN, JapanLarge-scale brain simulation allows us to understand the interaction of vast numbers of neurons having nonlinear dynamics to help understand the information processing mechanisms in the brain. The scale of brain simulations continues to rise as computer performance improves exponentially. However, a simulation of the human whole brain has not yet been achieved as of 2024 due to insufficient computational performance and brain measurement data. This paper examines technological trends in supercomputers, cell type classification, connectomics, and large-scale activity measurements relevant to whole-brain simulation. Based on these trends, we attempt to predict the feasible timeframe for mammalian whole-brain simulation. Our estimates suggest that mouse whole-brain simulation at the cellular level could be realized around 2034, marmoset around 2044, and human likely later than 2044.http://www.sciencedirect.com/science/article/pii/S016801022400138XWhole-brain simulationsSpiking neural networksSupercomputersTranscriptomicsConnectomicsNeural activity measurements |
| spellingShingle | Jun Igarashi Future projections for mammalian whole-brain simulations based on technological trends in related fields Neuroscience Research Whole-brain simulations Spiking neural networks Supercomputers Transcriptomics Connectomics Neural activity measurements |
| title | Future projections for mammalian whole-brain simulations based on technological trends in related fields |
| title_full | Future projections for mammalian whole-brain simulations based on technological trends in related fields |
| title_fullStr | Future projections for mammalian whole-brain simulations based on technological trends in related fields |
| title_full_unstemmed | Future projections for mammalian whole-brain simulations based on technological trends in related fields |
| title_short | Future projections for mammalian whole-brain simulations based on technological trends in related fields |
| title_sort | future projections for mammalian whole brain simulations based on technological trends in related fields |
| topic | Whole-brain simulations Spiking neural networks Supercomputers Transcriptomics Connectomics Neural activity measurements |
| url | http://www.sciencedirect.com/science/article/pii/S016801022400138X |
| work_keys_str_mv | AT junigarashi futureprojectionsformammalianwholebrainsimulationsbasedontechnologicaltrendsinrelatedfields |