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

Neuroplasticity01:01

Neuroplasticity

245
Neuroplasticity reflects the brain's remarkable capacity to adapt and evolve, responding dynamically to learning, experiences, or injury by reorganizing its neural circuitry. This reorganization involves creating new neural connections and refining old ones through a series of biological processes that contribute to the brain's lifelong development and adaptability.
245
Long-term Potentiation01:25

Long-term Potentiation

2.7K
Long-term potentiation, or LTP, is one of the ways by which synaptic plasticity—changes in the strength of chemical synapses—can occur in the brain. LTP is the process of synaptic strengthening that occurs over time between pre and postsynaptic neuronal connections. The synaptic strengthening of LTP works in opposition to the synaptic weakening of long-term depression (LTD) and together are the main mechanisms that underlie learning and memory.
Hebbian LTP
LTP can occur when...
2.7K
Neural Regulation01:37

Neural Regulation

39.0K
Digestion begins with a cephalic phase that prepares the digestive system to receive food. When our brain processes visual or olfactory information about food, it triggers impulses in the cranial nerves innervating the salivary glands and stomach to prepare for food.
39.0K
Integration of Synaptic Events01:28

Integration of Synaptic Events

1.3K
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...
1.3K
Synaptic Signaling01:09

Synaptic Signaling

5.4K
Neurons communicate at synapses, or junctions, to excite or inhibit the activity of other neurons or target cells, such as muscles. Synapses may be chemical or electrical.
Most synapses are chemical, meaning an electrical impulse or action potential spurs the release of chemical messengers called neurotransmitters. The neuron sending the signal is called the presynaptic neuron, and the neuron receiving the signal is the postsynaptic neuron.
The presynaptic neuron fires an action potential that...
5.4K
Postsynaptic Potential (PSP)01:32

Postsynaptic Potential (PSP)

2.1K
Postsynaptic potential (PSP) refers to a change in the electrical potential of a neuron when neurotransmitters released by presynaptic neurons bind to postsynaptic receptors. This potential can either be excitatory, leading to depolarization and ultimately action potential generation, or inhibitory, leading to hyperpolarization and suppression of the postsynaptic neuron.
There are two types of receptors: ionotropic and metabotropic.
The ionotropic receptor is the membrane protein that has an...
2.1K

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

Numerical Study for Efficient Cooling of Perishable Food Products During Storage: The Case of Tomatoes.

Foods (Basel, Switzerland)·2025
Same author

Prospect certainty for data-driven models.

Scientific reports·2025
Same author

Reconciling periodic rhythms of large-scale biological networks by optimal control.

Royal Society open science·2020
Same journal

Correction: A method for supervoxel-wise association studies of age and other non-imaging variables from coronary computed tomography angiograms.

Scientific reports·2026
Same journal

Poly(bromophenol blue)/CoSn(OH)<sub>6</sub> cubic particles modified pencil graphite electrode for electrochemical determination of diphenhydramine.

Scientific reports·2026
Same journal

Dietary Chlorella, Spirulina, and acidifier modulate jejunal cytokine-related gene expression in broiler chickens.

Scientific reports·2026
Same journal

Perceived physical activity barriers in university students: associations with fatigue and eating behaviours.

Scientific reports·2026
Same journal

Refuge limitation structures habitat use in agricultural landscapes: evidence from Sunda pangolins.

Scientific reports·2026
Same journal

Lightweight stateless transaction verification with outsourced witness updates for UTXO blockchains.

Scientific reports·2026
查看所有相关文章

相关实验视频

Updated: May 10, 2025

3D Modeling of Dendritic Spines with Synaptic Plasticity
07:13

3D Modeling of Dendritic Spines with Synaptic Plasticity

Published on: May 18, 2020

6.7K

基于合成可塑性的调节器用于人工神经网络.

Qais Yousef1, Pu Li2

  • 1Group of Process Optimization, Institute for Automation and Systems Engineering, Technische Universität Ilmenau, P.O. Box 100565, 98684, Ilmenau, Germany. qais.yousef@tu-ilmenau.de.

Scientific reports
|April 24, 2025
PubMed
概括
此摘要是机器生成的。

这项研究引入了一种由神经可塑性启发的人工神经网络 (ANN) 的新型有限规范化技术. 该方法提高了模型适应性和对输入数据分布变化的稳定性,精度提高了8%.

关键词:
分布变化变化 分布变化模型规范化的模式突触性可塑性 突触性可塑性可变的环境变量.

更多相关视频

Inducing Long-Term Plasticity of Intrinsic Neuronal Excitability in Neurons of the Dorsal Lateral Geniculate Nucleus
05:01

Inducing Long-Term Plasticity of Intrinsic Neuronal Excitability in Neurons of the Dorsal Lateral Geniculate Nucleus

Published on: September 20, 2024

259
Inducing Plasticity of Astrocytic Receptors by Manipulation of Neuronal Firing Rates
12:47

Inducing Plasticity of Astrocytic Receptors by Manipulation of Neuronal Firing Rates

Published on: March 20, 2014

14.1K

相关实验视频

Last Updated: May 10, 2025

3D Modeling of Dendritic Spines with Synaptic Plasticity
07:13

3D Modeling of Dendritic Spines with Synaptic Plasticity

Published on: May 18, 2020

6.7K
Inducing Long-Term Plasticity of Intrinsic Neuronal Excitability in Neurons of the Dorsal Lateral Geniculate Nucleus
05:01

Inducing Long-Term Plasticity of Intrinsic Neuronal Excitability in Neurons of the Dorsal Lateral Geniculate Nucleus

Published on: September 20, 2024

259
Inducing Plasticity of Astrocytic Receptors by Manipulation of Neuronal Firing Rates
12:47

Inducing Plasticity of Astrocytic Receptors by Manipulation of Neuronal Firing Rates

Published on: March 20, 2014

14.1K

科学领域:

  • 人工智能的人工智能
  • 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:

  • 人工神经网络 (ANN) 需要规范化才能进行概括.
  • 现有的方法缺乏限制,以改变输入数据分布的现实世界部署.
  • 神经可塑性为强大的模型适应提供了灵感.

研究的目的:

  • 引入在部署期间适用于ANN的有限规范化方法.
  • 提高ANN在可变环境中的适应性和稳定性.
  • 为了提高模型在分类和回归任务上的性能.

主要方法:

  • 扩展神经元掩盖以产生支持神经元,提高输出可靠性.
  • 整合了一个突触连接模块,通过突触重新布线进行在线优化.
  • 用单波方案解决的双级混合整数非线性编程 (MINLP) 制定了优化.
  • 提出了一个存储/恢复内存模块,用于高效的知识检索.

主要成果:

  • 与最先进的方法相比,在分类和回归任务上的准确度大约提高了8%.
  • 在动态环境中证明了ANN模型的增强适应性和稳定性.
  • 在部署过程中验证了有限规范化方法的有效性.

结论:

  • 拟议的有限规范化方法显著提高了ANN的性能和可靠性.
  • 以神经可塑性为灵感的方法为面对输入数据分布转移的ANN提供了强大的解决方案.
  • 这种技术对在现实世界,不可预测的环境中部署ANNs具有前景.