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Current Growth And Decay In RL Circuits01:30

Current Growth And Decay In RL Circuits

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The current growth and decay in RL circuits can be understood by considering a series RL circuit consisting of a resistor, an inductor, a constant source of emf, and two switches. When the first switch is closed, the circuit is equivalent to a single-loop circuit consisting of a resistor and an inductor connected to a source of emf. In this case, the source of emf produces a current in the circuit. If there were no self-inductance in the circuit, the current would rise immediately to a steady...
3.9K
RL Circuits01:14

RL Circuits

2.5K
An RL circuit consists of a resistor and an inductor and may have a source of emf connected to it. The inductor in the circuit helps to prevent rapid changes in current, which can be helpful if a steady current is required but the external source has a fluctuating emf. Consider an open RL circuit connected to a source of constant emf. As soon as the circuit is closed, the current begins to increase at a rate that depends only on the value of the inductance in the circuit. The greater the...
2.5K
Propagation of Action Potentials01:23

Propagation of Action Potentials

6.0K
The propagation of an action potential refers to the process by which a nerve impulse, or "action potential," travels along a neuron.
Neurons (nerve cells) have a resting membrane potential, with a slightly negative charge inside compared to outside. This is maintained by ion channels, such as sodium (Na+) and potassium (K+) channels, which control the flow of ions. When a stimulus, like a touch or a signal from another neuron, triggers the neuron, sodium channels open, allowing sodium ions to...
6.0K
Second-Order Circuits01:17

Second-Order Circuits

1.4K
Integrating two fundamental energy storage elements in electrical circuits results in second-order circuits, encompassing RLC circuits and circuits with dual capacitors or inductors (RC and RL circuits). Second-order circuits are identified by second-order differential equations that link input and output signals.
Input signals typically originate from voltage or current sources, with the output often representing voltage across the capacitor and/or current through the inductor. For example, in...
1.4K
Network Function of a Circuit01:25

Network Function of a Circuit

324
Frequency response analysis in electrical circuits provides vital insights into a circuit's behavior as the frequency of the input signal changes. The transfer function, a mathematical tool, is instrumental in understanding this behavior. It defines the relationship between phasor output and input and comes in four types: voltage gain, current gain, transfer impedance, and transfer admittance. The critical components of the transfer function are the poles and zeros.
324
Ampere-Maxwell's Law: Problem-Solving01:17

Ampere-Maxwell's Law: Problem-Solving

669
A parallel-plate capacitor with capacitance C, whose plates have area A and separation distance d, is connected to a resistor R and a battery of voltage V. The current starts to flow at t = 0. What is the displacement current between the capacitor plates at time t? From the properties of the capacitor, what is the corresponding real current?
To solve the problem, we can use the equations from the analysis of an RC circuit and Maxwell's version of Ampère's law.
For the first part of...
669

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相关实验视频

Updated: Jul 21, 2025

A Method for Growing Bio-memristors from Slime Mold
07:46

A Method for Growing Bio-memristors from Slime Mold

Published on: November 2, 2017

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记忆器交叉杆电路实现平衡传播,用于设备上的学习.

Seokjin Oh1, Jiyong An1, Seungmyeong Cho1

  • 1School of Electrical Engineering, Kookmin University, Seoul 02707, Republic of Korea.

Micromachines
|July 29, 2023
PubMed
概括

本研究介绍了一种用于平衡传播 (EP) 的新型模拟电路,可以在边缘智能硬件中实现实际的设备内学习. 新设计通过同时计算解决方案并使用修改后的学习规则来简化实现.

科学领域:

  • 神经形态工程的神经形态工程
  • 人工智能 硬件 硬件
  • 机器学习算法 机器学习算法

背景情况:

  • 均衡传播 (EP) 是神经网络的本地学习算法.
  • 数字EP实现对边缘智能硬件具有挑战性,原因是代计算.
  • 现有的EP模拟电路解决方案面临诸如内存要求和外围电路复杂性等挑战.

研究的目的:

  • 提出一种新的模拟电路技术,以实现EP算法的实际和可实施的实现.
  • 为了解决EP之前模拟电路实现的局限性.
  • 为了使在设备上的学习在边缘智能硬件使用EP.

主要方法:

  • 开发了模拟电路,同时计算自由相和推相解决方案,消除了对自由相解决方案存储器的需求.
  • 提出并实施了一种简化的EP学习规则,该规则基于每次编程脉冲的固定行为变化.
  • 模拟和验证了一个memristor导电性更新电路,用于在memristor横杆上进行突触权力训练.

主要成果:

  • 拟议的模拟电路技术成功地消除了存储自由相溶液的需要.
  • 修改后的EP学习规则可以在没有复杂的验证的情况下实现实用和可实现的重量更新电路.
  • 模拟证实了memristor导电更新电路对训练突触重量的有效性.
关键词:
平衡的传播传播平衡的传播当地学习学习 当地学习记忆器交叉杆电路的交叉杆电路.在设备上学习学习.

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Last Updated: Jul 21, 2025

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结论:

  • 新型模拟电路技术为实现平衡传播算法在硬件中提供了实用和可实现的解决方案.
  • 这一进步促进了对边缘智能应用程序至关重要的设备内学习能力.
  • 简化学习规则和同时计算解决方案克服了关键的实施障碍.