Jove
Visualize
联系我们
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

相关概念视频

Action Potential01:31

Action Potential

7.9K
Neurons communicate by firing action potentials—the electrochemical signal that is propagated along the axon. The signal results in the release of neurotransmitters at axon terminals, thereby transmitting information to the nervous system. An action potential is a specific "all-or-none" change in membrane potential that results in a rapid spike in voltage.
Membrane potential in neurons
Neurons typically have a resting membrane potential of about -70 millivolts (mV). When they...
7.9K
Integration of Synaptic Events01:28

Integration of Synaptic Events

1.5K
Synaptic integration mainly includes the summation of graded potentials. Graded potentials, regardless of their type, cause subtle alterations in membrane voltage, resulting in either depolarization or hyperpolarization. These incremental changes, when combined or summed, can propel the neuron toward its threshold. Consider, for example, a membrane experiencing a +15 mV shift, causing it to depolarize from -70 mV to -55 mV. In this scenario, graded potentials govern the membrane's ability to...
1.5K

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

Engineering Glioma-Cell-Derived Exosomes as Trojan Horse for Precisely Targeted Chemotherapy of Glioblastoma.

Biomaterials research·2026
Same author

Combining radiomics and machine learning for enhanced localization of premature ventricular contractions.

Digital health·2026
Same author

Megahertz-rate down-sampled optical coherence tomography based on high-speed <i>k</i>-linear swept laser and deep learning.

Optics letters·2026
Same author

Coherence-length isolation for balanced detection in common-path swept-source OCT.

Optics letters·2026
Same author

Research on predicting the progression of multiple myeloma treated with bortezomib based on multimodal ensemble learning.

Digital health·2026
Same author

Integrated ultrasound radiomics and clinical data to predict PD-1 blockade efficacy in unresectable hepatocellular carcinoma.

BMC gastroenterology·2025
Same journal

Entamoeba histolytica Gal/GalNAc lectin intermediate subunit as a potential driver of inflammation and epithelial damage in intestinal amebiasis.

Communications biology·2026
Same journal

OMIDIENT: Multiomics Integration for Cancer by Dirichlet Auto-Encoder Networks.

Communications biology·2026
Same journal

KCTD3 deficiency disrupts axon initial segment organization and neurite outgrowth in a neurodevelopmental disorder mouse model.

Communications biology·2026
Same journal

A two-pronged strategy eliminates dissociation artifacts for high-fidelity neuroimmune single-cell transcriptomics.

Communications biology·2026
Same journal

Prospects of DNA nanotechnology in stroke repair and regeneration.

Communications biology·2026
Same journal

A human epithelial co-culture system reveals distinct host cell interaction behaviours for Treponema pallidum.

Communications biology·2026
查看所有相关文章

相关实验视频

Updated: Jun 14, 2025

Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks
11:18

Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks

Published on: March 2, 2015

10.3K

对神经动力学进行探讨.

Boyang Zang1,2,3,4, Tao Sun1,2,5, Yang Lu3,4

  • 1Department of Automation, Tsinghua University, Beijing, China.

Communications biology
|February 24, 2025
PubMed
概括
此摘要是机器生成的。

我们开发了一种基于张量器的新方法,即最小平方体运动张量机 (LS-STM),用于解码神经活动. LS-STM的表现优于传统方法,特别是有限的数据,并识别关键神经元.

更多相关视频

Real-time Electrophysiology: Using Closed-loop Protocols to Probe Neuronal Dynamics and Beyond
08:08

Real-time Electrophysiology: Using Closed-loop Protocols to Probe Neuronal Dynamics and Beyond

Published on: June 24, 2015

11.4K
Author Spotlight: Investigating Mouse Motor Cortex Interactions from Muscle Activity to Neural Dynamics
05:43

Author Spotlight: Investigating Mouse Motor Cortex Interactions from Muscle Activity to Neural Dynamics

Published on: March 29, 2024

2.2K

相关实验视频

Last Updated: Jun 14, 2025

Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks
11:18

Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks

Published on: March 2, 2015

10.3K
Real-time Electrophysiology: Using Closed-loop Protocols to Probe Neuronal Dynamics and Beyond
08:08

Real-time Electrophysiology: Using Closed-loop Protocols to Probe Neuronal Dynamics and Beyond

Published on: June 24, 2015

11.4K
Author Spotlight: Investigating Mouse Motor Cortex Interactions from Muscle Activity to Neural Dynamics
05:43

Author Spotlight: Investigating Mouse Motor Cortex Interactions from Muscle Activity to Neural Dynamics

Published on: March 29, 2024

2.2K

科学领域:

  • 神经科学是一个神经科学.
  • 机器学习 机器学习
  • 计算神经科学是一种神经科学.

背景情况:

  • 神经活动动态对于感知和决策至关重要.
  • 解码神经信号是神经科学的一个关键挑战.
  • 像机器学习这样的当前方法需要数据向量化,丢失高阶信息.

研究的目的:

  • 介绍了一种基于张量器的新型解码方法,即最小平方运动张量机 (LS-STM).
  • 提高神经信息处理在高维张量域.
  • 提高神经信号解码性能和可解释性.

主要方法:

  • 开发了使用张量空间的最小平方运动张量机 (LS-STM).
  • 将LS-STM应用于人类和小鼠的神经数据.
  • 将LS-STM性能与传统的基于矢量化的解码方法进行比较.

主要成果:

  • 在神经信号解码任务中,LS-STM表现出卓越的性能.
  • 在有限的神经样本中,LS-STM显示了增强的解码能力.
  • 通过使用LS-STM张量权重,追溯识别了关键神经元.

结论:

  • LS-STM提供了一种新的张量计算方法来解码高维神经信息.
  • 基于张数的方法克服了传统矢量化技术的局限性.
  • LS-STM为推进神经解码和理解神经编码提供了一个有前途的框架.