Jove
Visualize
联系我们

相关概念视频

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Wavelet-based visual compass.

PloS one·2026
Same author

Efficient event-based delay learning in spiking neural networks.

Nature communications·2025
Same author

Building on models-a perspective for computational neuroscience.

Cerebral cortex (New York, N.Y. : 1991)·2025
Same author

Understanding the mechanism of facilitation in hoverfly TSDNs.

PLoS computational biology·2025
Same author

Lateralised memory networks may explain the use of higher-order visual features in navigating insects.

PLoS computational biology·2025
Same author

The neurobench framework for benchmarking neuromorphic computing algorithms and systems.

Nature communications·2025
Same journal

Computing inspired by the brain: a journey from algorithms to organoids.

Nature computational science·2026
Same journal

Systematic bottom-up coarse-graining of hydrated excess proton transport across scales.

Nature computational science·2026
Same journal

Gaining biological insights through supervised data visualization.

Nature computational science·2026
Same journal

The inequalities of GPU access.

Nature computational science·2026
Same journal

Social technologies need societal alignment.

Nature computational science·2026
Same journal

The Quantum Optimization Benchmarking Library.

Nature computational science·2026
查看所有相关文章
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关实验视频

Updated: Jul 5, 2025

Targeting Neuronal Fiber Tracts for Deep Brain Stimulation Therapy Using Interactive, Patient-Specific Models
14:14

Targeting Neuronal Fiber Tracts for Deep Brain Stimulation Therapy Using Interactive, Patient-Specific Models

Published on: August 12, 2018

8.9K

更大的GPU加速的大脑模拟与程序连接.

James C Knight1, Thomas Nowotny2

  • 1Centre for Computational Neuroscience and Robotics, School of Engineering and Informatics, University of Sussex, Brighton, UK. J.C.Knight@sussex.ac.uk.

Nature computational science
|January 13, 2024
PubMed
概括
此摘要是机器生成的。

模拟大脑模型需要大量的记忆力. 一种新的程序连接方法可以在飞行中生成神经连接,从而在单个GPU上实现大规模的大脑模拟.

更多相关视频

Modeling the Functional Network for Spatial Navigation in the Human Brain
05:55

Modeling the Functional Network for Spatial Navigation in the Human Brain

Published on: October 13, 2023

1.1K
3D Scanning Technology Bridging Microcircuits and Macroscale Brain Images in 3D Novel Embedding Overlapping Protocol
10:14

3D Scanning Technology Bridging Microcircuits and Macroscale Brain Images in 3D Novel Embedding Overlapping Protocol

Published on: May 12, 2019

7.3K

相关实验视频

Last Updated: Jul 5, 2025

Targeting Neuronal Fiber Tracts for Deep Brain Stimulation Therapy Using Interactive, Patient-Specific Models
14:14

Targeting Neuronal Fiber Tracts for Deep Brain Stimulation Therapy Using Interactive, Patient-Specific Models

Published on: August 12, 2018

8.9K
Modeling the Functional Network for Spatial Navigation in the Human Brain
05:55

Modeling the Functional Network for Spatial Navigation in the Human Brain

Published on: October 13, 2023

1.1K
3D Scanning Technology Bridging Microcircuits and Macroscale Brain Images in 3D Novel Embedding Overlapping Protocol
10:14

3D Scanning Technology Bridging Microcircuits and Macroscale Brain Images in 3D Novel Embedding Overlapping Protocol

Published on: May 12, 2019

7.3K

科学领域:

  • 计算神经科学是一种神经科学.
  • 神经科学是一个神经科学.

背景情况:

  • 大规模的尖端神经网络模型对于理解大脑功能至关重要.
  • 以前的模拟方法需要大量的内存用于突触连接,需要高性能计算系统.

研究的目的:

  • 为大型尖端神经网络模型引入一种新的,记忆效率高的模拟方法.
  • 为了使复杂的大脑模拟更容易获得研究人员.

主要方法:

  • 开发了一种"程序连接"方法,在模拟过程中动态生成连接和突触权重.
  • 为图形处理单元 (GPU) 和GPU代码生成实施了优化.

主要成果:

  • 在单个GPU上成功模拟了一个大型的视觉皮层模型 (4.13 × 10^6个神经元,24.2 × 10^9个突触).
  • 与传统的存储方法相比,显著减少了记忆.

结论:

  • 程序连接为模拟大规模神经网络提供了可行和高效的替代方案.
  • 这种方法通过利用常见的GPU硬件,提高了先进的大脑建模研究的可访问性.