数字大脑研究的未来十年:在技术和计算交叉点的神经科学的一个愿景
Katrin Amunts1,2, Markus Axer1,3, Swati Banerjee4
1Research Centre, Institute of Neurosciences and Medicine (INM-1), Jülich, Germany.
Imaging neuroscience (Cambridge, Mass.)
|August 13, 2025
概括
通过技术和数据集成,数字大脑研究正在迅速发展. 本文概述了数字大脑研究和EBRAINS研究基础设施的未来概念.
科学领域:
- 数字神经科学是一个数字神经科学.
- 计算神经科学是一种神经科学.
- 神经技术的神经技术
背景情况:
- 大脑研究已经进入了一个新时代,由先进的方法和数字数据集成在多个尺度驱动.
- 神经科学,技术和计算的交叉点正在取得重大进展.
研究的目的:
- 为未来十年的数字大脑研究开发一个概念.
- 为EBRAINS研究基础设施建立一个科学框架.
- 探索人工智能全面大脑模型的潜力.
主要方法:
- 多尺度数据集成和建模.
- 跨学科合作和大规模的研究倡议.
- 社会参与对道德和社会影响.
主要成果:
- 在神经科学,技术和计算的结合点上出现的新进展.
- 基于人类大脑项目的EBRAINS研究基础设施的框架.
- 识别人工智能的转型潜力.
结论:
- 对未来的数字大脑研究来说,一个系统的,协作的方法是必不可少的.
- EBRAINS为推进神经科学提供了一个研究基础设施.
- 综合的大脑模型为人工智能发展提供了巨大的潜力.
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