• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

中国脑计划:基础神经科学、脑疾病和类脑计算。

China Brain Project: Basic Neuroscience, Brain Diseases, and Brain-Inspired Computing.

机构信息

Institute of Neuroscience, Chinese Academy of Sciences, 200031 Shanghai, China; CAS Center for Excellence in Brain Science and Intelligence Technology, 200031 Shanghai, China.

Institute of Neuroscience, Chinese Academy of Sciences, 200031 Shanghai, China; CAS Center for Excellence in Brain Science and Intelligence Technology, 200031 Shanghai, China.

出版信息

Neuron. 2016 Nov 2;92(3):591-596. doi: 10.1016/j.neuron.2016.10.050.

DOI:10.1016/j.neuron.2016.10.050
PMID:27809999
Abstract

The China Brain Project covers both basic research on neural mechanisms underlying cognition and translational research for the diagnosis and intervention of brain diseases as well as for brain-inspired intelligence technology. We discuss some emerging themes, with emphasis on unique aspects.

摘要

中国脑计划涵盖了认知神经机制的基础研究以及脑疾病的诊断和干预、类脑智能技术的转化研究。我们讨论了一些新兴的主题,并重点介绍了其独特的方面。

相似文献

1
China Brain Project: Basic Neuroscience, Brain Diseases, and Brain-Inspired Computing.中国脑计划:基础神经科学、脑疾病和类脑计算。
Neuron. 2016 Nov 2;92(3):591-596. doi: 10.1016/j.neuron.2016.10.050.
2
Brain/MINDS: A Japanese National Brain Project for Marmoset Neuroscience.脑/MINDS 计划:灵长类动物神经科学的日本国家脑计划
Neuron. 2016 Nov 2;92(3):582-590. doi: 10.1016/j.neuron.2016.10.018.
3
Neuroscience-Inspired Artificial Intelligence.神经科学启发的人工智能。
Neuron. 2017 Jul 19;95(2):245-258. doi: 10.1016/j.neuron.2017.06.011.
4
Linking Brain Structure, Activity, and Cognitive Function through Computation.通过计算将大脑结构、活动和认知功能联系起来。
eNeuro. 2022 Mar 11;9(2). doi: 10.1523/ENEURO.0316-21.2022. Print 2022 Mar-Apr.
5
Creating the brain and interacting with the brain: an integrated approach to understanding the brain.塑造大脑并与大脑互动:理解大脑的综合方法。
J R Soc Interface. 2015 Mar 6;12(104):20141250. doi: 10.1098/rsif.2014.1250.
6
It covers a broad spectrum of clinical and basic neuroscience.它涵盖了广泛的临床和基础神经科学领域。
Metab Brain Dis. 2012 Sep;27(3):237. doi: 10.1007/s11011-012-9320-z. Epub 2012 Jun 1.
7
[A new classification for better care. The promises of the translational psychiatric neuroscience].[为更好的护理提供新分类。转化精神病神经科学的前景]
C R Biol. 2015 Aug-Sep;338(8-9):627-33. doi: 10.1016/j.crvi.2015.06.017. Epub 2015 Jul 22.
8
Zebrafish models for translational neuroscience research: from tank to bedside.用于转化神经科学研究的斑马鱼模型:从鱼缸到床边
Trends Neurosci. 2014 May;37(5):264-78. doi: 10.1016/j.tins.2014.02.011. Epub 2014 Apr 9.
9
Integrating clinical and basic research at the new Sheffield Institute for Translational Neuroscience.在新成立的谢菲尔德转化神经科学研究所整合临床研究与基础研究。
Dis Model Mech. 2010 Nov-Dec;3(11-12):669-70. doi: 10.1242/dmm.006981.
10
The Human Brain Project-Synergy between neuroscience, computing, informatics, and brain-inspired technologies.人类脑计划——神经科学、计算、信息学和类脑技术的协同作用。
PLoS Biol. 2019 Jul 1;17(7):e3000344. doi: 10.1371/journal.pbio.3000344. eCollection 2019 Jul.

引用本文的文献

1
The China Brain Multi-omics Atlas Project (CBMAP).中国脑多组学图谱计划(CBMAP)
Mol Psychiatry. 2025 Sep 15. doi: 10.1038/s41380-025-03250-3.
2
Neuroscience in Asia-Pacific : Horizons and Innovations.亚太地区的神经科学:视野与创新
IBRO Neurosci Rep. 2025 Aug 26;19:578-579. doi: 10.1016/j.ibneur.2025.08.022. eCollection 2025 Dec.
3
A review of functional MRI application for brain research of Chinese language processing.功能磁共振成像在汉语语言加工脑研究中的应用综述
Magn Reson Lett. 2022 Dec 28;3(1):1-13. doi: 10.1016/j.mrl.2022.12.001. eCollection 2023 Feb.
4
A study of motor imagery EEG classification based on feature fusion and attentional mechanisms.基于特征融合和注意力机制的运动想象脑电分类研究
Front Hum Neurosci. 2025 Jul 16;19:1611229. doi: 10.3389/fnhum.2025.1611229. eCollection 2025.
5
Image enhancement network based on fiber topology-preserving multi-module fusion for neuron reconstruction.基于纤维拓扑保持多模块融合的神经元重建图像增强网络
Biomed Opt Express. 2025 Jun 2;16(7):2584-2600. doi: 10.1364/BOE.562737. eCollection 2025 Jul 1.
6
Accelerating brain T2-weighted imaging using artificial intelligence-assisted compressed sensing combined with deep learning-based reconstruction: a feasibility study at 5.0T MRI.利用人工智能辅助压缩感知结合深度学习重建加速脑T2加权成像:5.0T磁共振成像的可行性研究
BMC Med Imaging. 2025 Jul 1;25(1):224. doi: 10.1186/s12880-025-01763-5.
7
Analysis of Epilepsy Treatment Strategies Based on an Astrocyte-Neuron-Coupled Network Model.基于星形胶质细胞-神经元耦合网络模型的癫痫治疗策略分析
Brain Sci. 2025 Apr 27;15(5):465. doi: 10.3390/brainsci15050465.
8
Whole-brain causal discovery using fMRI.使用功能磁共振成像进行全脑因果关系发现。
Netw Neurosci. 2025 Mar 20;9(1):392-420. doi: 10.1162/netn_a_00438. eCollection 2025.
9
Large-volume fully automated cell reconstruction generates a cell atlas of plant tissues.大体积全自动化细胞重建生成了植物组织的细胞图谱。
Plant Cell. 2024 Sep 16;36(12):4840-61. doi: 10.1093/plcell/koae250.
10
Artificial Intelligence as a Replacement for Animal Experiments in Neurology: Potential, Progress, and Challenges.人工智能在神经学中替代动物实验:潜力、进展与挑战
Neurol Int. 2024 Jul 29;16(4):805-820. doi: 10.3390/neurolint16040060.