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

Fluid Mosaic Model01:19

Fluid Mosaic Model

11.6K
Scientists identified the plasma membrane in the 1890s and its principal chemical components (lipids and proteins) by 1915. The model for plasma membrane structure, proposed in 1935 by Hugh Davson and James Danielli, was the first model to be widely accepted in the scientific community. The model was based on the plasma membrane's "railroad track" appearance in early electron micrographs. Davson and Danielli theorized that the plasma membrane's structure resembled a sandwich...
11.6K
Electrochemical Gradient and Channel Proteins: An Overview01:21

Electrochemical Gradient and Channel Proteins: An Overview

2.2K
An electrochemical gradient is a fundamental concept in biology and chemistry. It regulates the movement of ions across cell membranes. This movement is influenced by two factors:
The electrical gradient: The electrical gradient across cell membranes refers to the difference in electric charge between the inside and outside of a cell.  This difference drives the movement of ions towards or away from the cells. For instance, if the inside of the cell is more negatively charged relative to...
2.2K
Neuron Structure01:30

Neuron Structure

12.9K
Neurons are the main type of cell in the nervous system that generate and transmit electrochemical signals. They primarily communicate with each other using neurotransmitters at specific junctions called synapses. Neurons come in many shapes that often relate to their function, but most share three main structures: an axon and dendrites that extend out from a cell body.
Structure and Function of Neurons
The neuronal cell body—the soma— houses the nucleus and organelles vital to...
12.9K
Resting Membrane Potential01:24

Resting Membrane Potential

18.5K
The relative difference in electrical charge, or voltage, between the inside and the outside of a cell membrane, is called the membrane potential. It is generated by differences in permeability of the membrane to various ions and the concentrations of these ions across the membrane.
The Inside of a Neuron is More Negative
The membrane potential of a cell can be measured by inserting a microelectrode into a cell and comparing the charge to a reference electrode in the extracellular fluid. The...
18.5K
The Role of Ion Channels in Neuronal Computation01:19

The Role of Ion Channels in Neuronal Computation

3.2K
A postsynaptic neuron usually receives numerous impulses from several other presynaptic neurons. The axon hillock of the postsynaptic neuron integrates all these signals and determines the likelihood of firing an action potential.
Sometimes a single EPSP is strong enough to induce an action potential in the postsynaptic neuron. However, multiple presynaptic inputs must often create EPSPs around the same time for the postsynaptic neuron to be sufficiently depolarized to fire an action potential....
3.2K
The Resting Membrane Potential01:21

The Resting Membrane Potential

131.9K
Overview
131.9K

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

Guizhi-Shaoyao-Zhimu Decoction regulates the IL-17R-MAPK pathway to alleviate rheumatoid arthritis.

Journal of ethnopharmacology·2026
Same author

Naphthalene-based hydroxamate HDAC inhibitors with anti-breast tumor activity.

Molecular diversity·2026
Same author

Firing behaviors of a neuron with two memristor channels.

Cognitive neurodynamics·2026
Same author

Self-Assembled Microsphere-Integrated SERS Microneedles for the 3D Mapping of Agrochemicals Penetration in Fresh Produce.

Analytical chemistry·2026
Same author

Controlling neural activity by shunting channel current in a memristive FitzHugh-Nagumo circuit.

Chaos (Woodbury, N.Y.)·2026
Same author

Reversal of left ventricular hypertrophy with sacubitril/valsartan vs. standard antihypertensive agents in hypertension: a systematic review and network meta-analysis.

Frontiers in cardiovascular medicine·2026
Same journal

Olfactory Perception and Neural Rhythms: A Simulation-Based EEG Analysis Using Power Spectral Density FeaturesOlfactory perception and neural rhythms: a simulation-based eeg analysis using power spectral density features.

Cognitive neurodynamics·2026
Same journal

An event-related potentials account of brain predictive coding.

Cognitive neurodynamics·2026
Same journal

A recurrent neural network model for a decision-making task based on sequential evidence accumulation.

Cognitive neurodynamics·2026
Same journal

Synaptic neurotransmitter concentration modulation during learning in bio-inspired spiking neural network.

Cognitive neurodynamics·2026
Same journal

A two-neuron HETUF-memristive hopfield neural network and its application in image encryption.

Cognitive neurodynamics·2026
Same journal

MEK-ERK inhibition enhances synaptic input-output coupling and neuronal excitability in the rat dentate gyrus: association with site-specific Kv4.2 phosphorylation.

Cognitive neurodynamics·2026
查看所有相关文章

相关实验视频

Updated: Jun 27, 2025

Computational Modeling of Retinal Neurons for Visual Prosthesis Research - Fundamental Approaches
10:50

Computational Modeling of Retinal Neurons for Visual Prosthesis Research - Fundamental Approaches

Published on: June 21, 2022

1.7K

一个具有非线性膜的神经元模型.

Feifei Yang1, Qun Guo1, Jun Ma1,2

  • 1College of Electrical and Information Engineering, Lanzhou University of Technology, Lanzhou, 730050 China.

Cognitive neurodynamics
|May 3, 2024
PubMed
概括
此摘要是机器生成的。

这项研究模拟了一种灵活的,两层细胞膜,使用非线性电路来模拟神经元的电特性. 该模型复制了神经元发射模式和能量动态,增强了生物物理的理解.

关键词:
凝聚力共振共振是一致性的共振.汉密尔顿的能量是汉密尔顿的能量.神经电路中的神经回路.非线性合器非线性合器

更多相关视频

Modeling Biological Membranes with Circuit Boards and Measuring Electrical Signals in Axons: Student Laboratory Exercises
13:56

Modeling Biological Membranes with Circuit Boards and Measuring Electrical Signals in Axons: Student Laboratory Exercises

Published on: January 18, 2011

22.7K
Contribution of the Na+/K+ Pump to Rhythmic Bursting, Explored with Modeling and Dynamic Clamp Analyses
08:34

Contribution of the Na+/K+ Pump to Rhythmic Bursting, Explored with Modeling and Dynamic Clamp Analyses

Published on: May 9, 2021

2.7K

相关实验视频

Last Updated: Jun 27, 2025

Computational Modeling of Retinal Neurons for Visual Prosthesis Research - Fundamental Approaches
10:50

Computational Modeling of Retinal Neurons for Visual Prosthesis Research - Fundamental Approaches

Published on: June 21, 2022

1.7K
Modeling Biological Membranes with Circuit Boards and Measuring Electrical Signals in Axons: Student Laboratory Exercises
13:56

Modeling Biological Membranes with Circuit Boards and Measuring Electrical Signals in Axons: Student Laboratory Exercises

Published on: January 18, 2011

22.7K
Contribution of the Na+/K+ Pump to Rhythmic Bursting, Explored with Modeling and Dynamic Clamp Analyses
08:34

Contribution of the Na+/K+ Pump to Rhythmic Bursting, Explored with Modeling and Dynamic Clamp Analyses

Published on: May 9, 2021

2.7K

科学领域:

  • 生物物理学的生物物理.
  • 计算神经科学是一种神经科学.
  • 电气工程 电气工程

背景情况:

  • 细胞膜分离细胞内和细胞外环境,调节对神经元功能至关重要的离子流.
  • 现有的模型往往简化了膜特性,限制了准确的生物物理表示.
  • 了解膜电容性质是开发等效神经电路的关键.

研究的目的:

  • 提出一种新的神经元模型,采用灵活的,具有非线性特性的两层细胞膜.
  • 为了研究这种非线性膜模型的电气特性和能量动态.
  • 为了证明模型能够复制生物神经元发射模式和反应的能力.

主要方法:

  • 开发了一种非线性电路模型,使用非线性电阻连接两个线性电路,模仿双层细胞膜.
  • 导出电路方程并将其转换为类似于神经元的非线性振荡器.
  • 该模型的能量函数是从电子元件绘制的,并使用赫尔姆霍尔茨定理推导出来的.
  • 模拟包括应用外部刺激和噪音干扰来诱导连贯共振.

主要成果:

  • 该模型成功地复制了神经元尖和爆发的发射模式.
  • 膜潜力的多样性支持在外部刺激下持续发射和模式转换.
  • 一致共振是由噪声干扰引起的,变化率较低,能量更高,支持周期性发射.

结论:

  • 拟议的非线性,双层膜神经元模型有效地捕捉了生物神经元的基本生物物理特性.
  • 这种模型为研究神经元的电特性和发射动态提供了更准确的表示.
  • 这些发现有助于更深入地了解神经元刺激性和信号处理.