Jove
Visualize
联系我们

相关概念视频

Protein Networks02:26

Protein Networks

4.5K
An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...
4.5K
Protein Networks02:26

Protein Networks

2.9K
2.9K
Network Covalent Solids02:18

Network Covalent Solids

16.2K
Network covalent solids contain a three-dimensional network of covalently bonded atoms as found in the crystal structures of nonmetals like diamond, graphite, silicon, and some covalent compounds, such as silicon dioxide (sand) and silicon carbide (carborundum, the abrasive on sandpaper). Many minerals have networks of covalent bonds.
To break or to melt a covalent network solid, covalent bonds must be broken. Because covalent bonds are relatively strong, covalent network solids are typically...
16.2K
Fixed Action Patterns01:06

Fixed Action Patterns

17.7K
A fixed action pattern (FAP) is a specific, hard-wired sequence of behaviors that occurs in response to an external stimulus, called a sign stimulus. The behavior is “fixed” because it is essentially unchangeable—proceeding similarly across individuals of a species every time it occurs.
17.7K
Neural Regulation01:37

Neural Regulation

43.4K
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.
43.4K
Patterns of Fever01:26

Patterns of Fever

3.9K
Before understanding the types and patterns of fever, it is essential to know its phases.
3.9K

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

Synergistic Effect of Glyphosate and Polyethylene Microplastics on Culturable Gut Microbiota Alterations in Zebrafish.

Environmental toxicology·2026
Same author

MesoSCOUT: A novel tool for revealing mesoscale organization in the white-matter connectome.

bioRxiv : the preprint server for biology·2025
Same author

AneRBC dataset: a benchmark dataset for computer-aided anemia diagnosis using RBC images.

Database : the journal of biological databases and curation·2024
Same author

The effect of alterations of schizophrenia-associated genes on gamma band oscillations.

Schizophrenia (Heidelberg, Germany)·2022
Same author

Growth rules for the repair of Asynchronous Irregular neuronal networks after peripheral lesions.

PLoS computational biology·2021
Same author

Binding of Filamentous Actin to CaMKII as Potential Regulation Mechanism of Bidirectional Synaptic Plasticity by β CaMKII in Cerebellar Purkinje Cells.

Scientific reports·2020
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: Feb 4, 2026

Optical Recording of Suprathreshold Neural Activity with Single-cell and Single-spike Resolution
08:48

Optical Recording of Suprathreshold Neural Activity with Single-cell and Single-spike Resolution

Published on: September 5, 2012

12.3K

自拍可以在尖端神经网络中进行时间模式识别.

Muhammad Yaqoob1,2, Volker Steuber1, Borys Wróbel2,3,4

  • 1Department of Computer Science, University of Hertfordshire, Hatfield, United Kingdom.

PloS one
|February 2, 2026
PubMed
概括
此摘要是机器生成的。

这项研究揭示了尖端神经网络 (SNN) 如何使用autapses进行时间模式识别. 自体验使状态转换和记忆成为可能,这对于处理时间变化的感官信息至关重要.

更多相关视频

Network Analysis of Foramen Ovale Electrode Recordings in Drug-resistant Temporal Lobe Epilepsy Patients
09:32

Network Analysis of Foramen Ovale Electrode Recordings in Drug-resistant Temporal Lobe Epilepsy Patients

Published on: December 18, 2016

12.9K
Network Analysis of the Default Mode Network Using Functional Connectivity MRI in Temporal Lobe Epilepsy
12:09

Network Analysis of the Default Mode Network Using Functional Connectivity MRI in Temporal Lobe Epilepsy

Published on: August 5, 2014

18.5K

相关实验视频

Last Updated: Feb 4, 2026

Optical Recording of Suprathreshold Neural Activity with Single-cell and Single-spike Resolution
08:48

Optical Recording of Suprathreshold Neural Activity with Single-cell and Single-spike Resolution

Published on: September 5, 2012

12.3K
Network Analysis of Foramen Ovale Electrode Recordings in Drug-resistant Temporal Lobe Epilepsy Patients
09:32

Network Analysis of Foramen Ovale Electrode Recordings in Drug-resistant Temporal Lobe Epilepsy Patients

Published on: December 18, 2016

12.9K
Network Analysis of the Default Mode Network Using Functional Connectivity MRI in Temporal Lobe Epilepsy
12:09

Network Analysis of the Default Mode Network Using Functional Connectivity MRI in Temporal Lobe Epilepsy

Published on: August 5, 2014

18.5K

科学领域:

  • 神经科学是一个神经科学.
  • 计算神经科学是一种神经科学.
  • 人工智能的人工智能

背景情况:

  • 感官刺激具有时间结构,使其通过动作潜能进行编码成为关键的神经科学问题.
  • 了解尖端神经网络 (SNN) 需要将它们的结构与功能联系起来,特别是对于时间信息处理.

研究的目的:

  • 在设计用于时间模式识别的SNN中映射结构-功能关系.
  • 阐明在执行序列识别任务的SNN中Autapses的作用.

主要方法:

  • 开发和手工制作SNN,用于需要识别特定输入信号顺序的任务.
  • 将SNN状态映射到有限状态传感器 (FST) 中,以分析网络状态转换.
  • 分析最小的网络拓,并将模式长度与autaptic连接相关联.

主要成果:

  • 自动传输具有双重作用:在新输入时促进状态过渡,在没有输入时维护网络状态 (内存).
  • 在识别模式的长度和自拍次数之间存在正相关性.
  • 特定的神经元被赋予了功能性角色:"锁定"",切换"和"接受".

结论:

  • 该研究提供了构建SNN以识别特定顺序的信号次序的规则.
  • 在SNN中,自触连接对于动态状态转换和持久状态维护都至关重要.
  • 这项工作促进了对SNN中的信息处理及其在时间数据分析中的潜在应用的理解.