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相关概念视频

Neural Regulation01:37

Neural Regulation

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.
Neural Control of Respiration01:18

Neural Control of Respiration

The neural regulation of respiration is a meticulously coordinated process primarily controlled by the respiratory centers located within the brainstem. These centers, composed of specialized neurons, transmit nerve impulses that control the contraction and relaxation of our respiratory muscles.
Respiratory Centers in the Brainstem
Two primary areas comprise the respiratory center: the medullary respiratory center in the medulla oblongata and the pontine respiratory group in the pons. The...
Open and closed-loop control systems01:17

Open and closed-loop control systems

Control systems are foundational elements in automation and engineering. They are broadly categorized into open-loop and closed-loop systems. These classifications hinge on the presence or absence of feedback mechanisms, significantly influencing the system's performance, complexity, and application.
An open-loop control system operates without feedback from the output. It consists of two primary elements: the controller and the controlled process. The controller receives an input signal and...
Physiology of Respiration II: Neurogenic Control of Respiration01:22

Physiology of Respiration II: Neurogenic Control of Respiration

The neurogenic control of respiration coordinates various neural networks and pathways to regulate breathing rate and depth, meeting the body's oxygen and carbon dioxide exchange requirements. This system adapts to physiological and environmental conditions, ensuring optimal breathing patterns.
Central Control
The brainstem is the primary site of central control, hosting respiratory centers:
Neuronal Communication01:28

Neuronal Communication

Neurons, the fundamental units of the brain and nervous system, communicate through complex electrochemical signals that underpin all cognitive and bodily functions. This communication is primarily facilitated by a process involving the generation and propagation of an action potential along the axon of the neuron. When the internal electrical charge of a neuron surpasses a certain threshold, an action potential is triggered. This rapid change in voltage travels swiftly along the axon to the...

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相关实验视频

Updated: May 7, 2026

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

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对于半马科夫反应扩散神经网络的基于协议的控制.

Na Liu1, Wenjie Qin2, Jun Cheng3

  • 1Department of Mathematics, Yunnan Minzu University, Kunming, Yunnan, 650500, China; School of Mathematics and Statistics, Guangxi Normal University, Guilin 541006, China.

Neural networks : the official journal of the International Neural Network Society
|July 28, 2024
PubMed
概括
此摘要是机器生成的。

这项研究通过使用一种新的概率事件触发协议 (PETP) 来增强对半马科夫反应扩散神经网络 (SMRDNNs) 的控制. 这提高了网络环境中的系统响应性和可靠性.

关键词:
可能的事件触发协议.反应传播神经网络半马尔科夫跳跃系统

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Plasmid-derived DNA Strand Displacement Gates for Implementing Chemical Reaction Networks
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Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface

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相关实验视频

Last Updated: May 7, 2026

Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks
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科学领域:

  • 控制理论 控制理论
  • 人工神经网络的人工神经网络
  • 随机系统 随机系统 随机系统

背景情况:

  • 在复杂的网络系统中解决异步控制挑战.
  • 管理随机行为和通信延迟对于系统性能至关重要.
  • 现有的方法在系统和控制器模式之间的动态变化中扎.

研究的目的:

  • 为半马科夫反应扩散神经网络 (SMRDNNs) 开发一个强大的异步控制策略.
  • 引入一种新的概率事件触发协议 (PETP),以提高系统响应性.
  • 准确地建模网络环境中的动态异步变化.

主要方法:

  • 纳入半马尔科夫过程与确定性切换用于随机行为分析.
  • 关于一种新型PETP的建议,利用概率延迟划分来进行动态传输频率调整.
  • 开发一个动态异步模型来捕捉模式变化.

主要成果:

  • 通过半马尔科夫过程有效地减轻任意切换影响.
  • 通过动态调整的PETP提高了系统响应性和可靠性.
  • 通过模拟验证的异步变化的准确建模.

结论:

  • 拟议的PETP和动态异步模型显著提高了SMRDNN的控制性能.
  • 这些策略在网络通信系统中提供了更高的可靠性和响应性.
  • 开发的方法在处理异步控制问题方面表现出优越性.