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相关概念视频

Neural Circuits01:25

Neural Circuits

3.0K
Neural circuits and neuronal pools are two of the main structures found in the nervous system. Neural circuits are networks of neurons that work together to carry out a specific task or process. They consist of interconnected neurons and glial cells, which provide structural and metabolic support.
Neuronal pools are collections of nerve cells with similar functions and interact through chemical and electrical signals. These pools include both interneurons (the central neural circuit nodes that...
3.0K
Open and closed-loop control systems01:17

Open and closed-loop control systems

2.0K
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...
2.0K
Mechanical Systems01:22

Mechanical Systems

901
Mechanical systems are analogous to to electrical networks where springs and masses play similar roles to inductors and capacitors, respectively. A viscous damper in mechanical systems functions similarly to a resistor in electrical networks, dissipating energy. The forces acting on a mass in such systems include an applied force in the direction of motion, counteracted by forces from the spring, a viscous damper, and the mass's acceleration. This interplay of forces is mathematically...
901
Electro-mechanical Systems01:19

Electro-mechanical Systems

1.3K
Electromechanical systems are intricate configurations that effectively combine electrical and mechanical elements to achieve a desired outcome. Central to many of these systems is the DC motor, a device that converts electrical energy into mechanical motion, enabling various applications ranging from simple fans to complex robotic mechanisms.
A key component of the DC motor is the armature, a rotating circuit positioned within a magnetic field. As an electric current passes through the...
1.3K
Neuronal Communication01:28

Neuronal Communication

5.5K
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...
5.5K

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相关实验视频

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Designing and Implementing Nervous System Simulations on LEGO Robots
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Designing and Implementing Nervous System Simulations on LEGO Robots

Published on: May 25, 2013

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关闭循环:高速机器人与加速的神经形态硬件.

Yannik Stradmann1, Johannes Schemmel1

  • 1Kirchhoff-Institute for Physics, Heidelberg University, Heidelberg, Germany.

Frontiers in neuroscience
|April 10, 2024
PubMed
概括

现在BrainScaleS-2系统集成了一个实时事件接口,实现高速机器人控制. 这一进步促进了对机器人的事件驱动,自我监督学习的研究.

科学领域:

  • 神经形态工程的神经形态工程
  • 计算神经科学是一种神经科学.
  • 机器人技术 机器人技术 机器人技术

背景情况:

  • BrainScaleS-2系统是一个多功能模拟神经形态平台.
  • 现有的系统在实时外部合方面存在局限性,用于高速应用.

研究的目的:

  • 通过可配置的实时事件接口来增强BrainScaleS-2系统.
  • 为了使模拟网络核心与外部传感器和执行器紧密合.
  • 针对需要微秒级定时精度的高速机器人应用.

主要方法:

  • 与BrainScaleS-2系统集成可配置的实时事件接口.
  • 使用PyTorch训练一个尖端神经网络 (SNN).
  • 在模拟基板上模拟SNN以控制闭环设置中的无刷直流电机.

主要成果:

  • 成功扩展了BrainScaleS-2的实时事件接口.
  • 展示机器人控制的微秒级精确计时.
  • 一个闭环系统控制无刷直流电机使用模拟的SNN从传感输入.

结论:

关键词:
类似的神经形态计算的模拟神经形态计算封闭环节控制器的控制器高速机器人机器人技术发动机控制器的控制器神经机器人学是一种神经机器人学.刺激神经网络的神经网络.

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  • 增强的BrainScaleS-2系统促进了对高速机器人的事件驱动控制器的研究.
  • 该系统支持机器人应用的自主监督和生物启发的在线学习.
  • 这项工作为机器人实时,自适应的神经形态控制开辟了新的途径.