基于相关领域技术发展趋势的哺乳动物全脑模拟未来预测。

IF 2.4 4区 医学 Q3 NEUROSCIENCES
Jun Igarashi
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引用次数: 0

摘要

大规模大脑模拟使我们能够了解大量具有非线性动态特性的神经元之间的相互作用,从而帮助我们了解大脑的信息处理机制。随着计算机性能的指数级提高,大脑模拟的规模也在不断扩大。然而,由于计算性能和大脑测量数据不足,截至 2024 年,人类全脑模拟尚未实现。本文探讨了与全脑模拟相关的超级计算机、细胞类型分类、连接组学和大规模活动测量的技术趋势。基于这些趋势,我们试图预测哺乳动物全脑模拟的可行时间框架。我们的估计表明,小鼠全脑模拟在细胞水平上可在 2034 年左右实现,狨猴可在 2044 年左右实现,而人类则可能晚于 2044 年。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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 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.

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来源期刊
Neuroscience Research
Neuroscience Research 医学-神经科学
CiteScore
5.60
自引率
3.40%
发文量
136
审稿时长
28 days
期刊介绍: The international journal publishing original full-length research articles, short communications, technical notes, and reviews on all aspects of neuroscience Neuroscience Research is an international journal for high quality articles in all branches of neuroscience, from the molecular to the behavioral levels. The journal is published in collaboration with the Japan Neuroscience Society and is open to all contributors in the world.
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