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相关概念视频

Neural Circuits01:25

Neural Circuits

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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...
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The Role of Ion Channels in Neuronal Computation01:19

The Role of Ion Channels in Neuronal Computation

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A postsynaptic neuron usually receives numerous impulses from several other presynaptic neurons. The axon hillock of the postsynaptic neuron integrates all these signals and determines the likelihood of firing an action potential.
Sometimes a single EPSP is strong enough to induce an action potential in the postsynaptic neuron. However, multiple presynaptic inputs must often create EPSPs around the same time for the postsynaptic neuron to be sufficiently depolarized to fire an action potential....
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Neural Regulation01:37

Neural Regulation

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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.
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Machines01:19

Machines

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Machines are complex structures consisting of movable, pin-connected multi-force members that work together to transmit forces. One example of a machine is the cutting plier, which is used to cut wires by applying forces to its handles. When equal and opposite forces are exerted on the handles of the cutting plier, they cause the cutting edges to come together and apply equal and opposite reaction forces on the wire, which are greater than the applied forces.
A free-body diagram of the...
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Spinal Cord: Information Processing01:10

Spinal Cord: Information Processing

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The spinal cord is an integral hub for motor and sensory information that enables the brain to communicate with the peripheral nervous system (PNS). This communication consists of relaying sensory data and transmission of motor commands.
Sensory Information Processing
Sensory information processing begins at the sensory receptors located in the skin and other tissues, which detect somatic sensory stimuli such as touch, temperature, or pain. These receptors function as catalysts, initiating...
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Machines: Problem Solving II01:30

Machines: Problem Solving II

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Machines are complex structures consisting of movable, pin-connected multi-force members that work together to transmit forces. Consider a lifting tong carrying a 100 kg load. It comprises movable sections DAF and CBG linked together with member AB.
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Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks
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以神经形态计算为基础的机器智能

Kaushik Roy1, Akhilesh Jaiswal2, Priyadarshini Panda2

  • 1Purdue University, West Lafayette, IN, USA. kaushik@purdue.edu.

Nature
|November 29, 2019
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概括
此摘要是机器生成的。

由大脑功能所启发的神经形态计算旨在创建节能的人工智能. 这个领域融合了算法和硬件,专注于基于尖端的处理和事件驱动的系统,以实现未来的AI进步.

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Using Neuron Spiking Activity to Trigger Closed-Loop Stimuli in Neurophysiological Experiments
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科学领域:

  • 计算机科学
  • 神经科学
  • 人工智能

背景情况:

  • 神经形态计算的灵感来自于类似大脑的神经网络.
  • 它旨在开发节能的人工智能解决方案.
  • 该领域将电路与生物神经处理原理相结合.

研究的目的:

  • 提供神经形态计算进步的概述.
  • 为了突出算法和硬件的发展.
  • 强调算法硬件代码设计的重要性.

主要方法:

  • 对现有的神经形态计算算法和硬件进行审查.
  • 基于尖峰的编码和事件驱动的表示的分析.
  • 讨论神经形态框架中的学习基础.

主要成果:

  • 在实施大脑启发的计算框架方面取得了重大进展.
  • 从电路到复杂的算法和硬件的演变.
  • 用于人工智能的事件驱动处理的演示.

结论:

  • 神经形态计算可以实现高效的人工智能.
  • 确定了主要的挑战和未来前景.
  • 算法硬件代码设计对于未来的发展至关重要.