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相关概念视频

Propagation of Action Potentials01:23

Propagation of Action Potentials

5.6K
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...
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Neural Circuits01:25

Neural Circuits

1.2K
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...
1.2K
The Role of Ion Channels in Neuronal Computation01:19

The Role of Ion Channels in Neuronal Computation

3.2K
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....
3.2K
Action Potential01:31

Action Potential

7.9K
Neurons communicate by firing action potentials—the electrochemical signal that is propagated along the axon. The signal results in the release of neurotransmitters at axon terminals, thereby transmitting information to the nervous system. An action potential is a specific "all-or-none" change in membrane potential that results in a rapid spike in voltage.
Membrane potential in neurons
Neurons typically have a resting membrane potential of about -70 millivolts (mV). When they...
7.9K
Neuronal Communication01:28

Neuronal Communication

849
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...
849
Action Potential: Phases of Stimulation01:28

Action Potential: Phases of Stimulation

5.5K
The action potential is a complex electrical event that occurs in excitable cells, such as neurons and muscle cells. It consists of several distinct phases, each with specific characteristics.
Resting Phase:
In this phase, the cell's membrane is at its resting potential, typically around -70 millivolts (mV) for neurons. Inside the cell, there is a higher concentration of potassium ions (K+) and a lower concentration of sodium ions (Na+). Voltage-gated sodium channels are closed, and...
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相关实验视频

Updated: Jun 27, 2025

Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks
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大脑启发的混乱的尖反向传播.

Zijian Wang1, Peng Tao1, Luonan Chen1,2,3,4

  • 1Key Laboratory of Systems Health Science of Zhejiang Province, School of Life Science, Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Hangzhou 310024, China.

National science review
|May 6, 2024
PubMed
概括

混乱的尖端反向传播 (CSBP) 增强了对节能尖端神经网络 (SNN) 的培训. 这种新的方法通过模仿类似大脑的混乱动态来提高准确性和稳定性,克服SNN学习中的局部最小问题.

关键词:
反向传播反向传播.大脑启发的学习这是一个混乱的混乱.当地最小值 (Local Minimum) 是一个地方的最低值.尖的神经网络的神经网络.替代的梯度梯度的替代物

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Using Neuron Spiking Activity to Trigger Closed-Loop Stimuli in Neurophysiological Experiments
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Real-time Electrophysiology: Using Closed-loop Protocols to Probe Neuronal Dynamics and Beyond
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相关实验视频

Last Updated: Jun 27, 2025

Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks
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Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks

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Using Neuron Spiking Activity to Trigger Closed-Loop Stimuli in Neurophysiological Experiments
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Real-time Electrophysiology: Using Closed-loop Protocols to Probe Neuronal Dynamics and Beyond
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科学领域:

  • 计算神经科学是一种神经科学.
  • 人工智能的人工智能
  • 机器学习 机器学习

背景情况:

  • 尖端神经网络 (SNNs) 通过模仿生物神经系统来提供高能效,但很难有效地训练.
  • 当前的训练方法,如替代梯度,往往导致SNN因为依赖梯度动力学而陷入局部最小值.

研究的目的:

  • 引入一种新的训练方法 - - 混乱的尖端反向传播 (CSBP),以提高SNN的性能.
  • 利用大脑启发的混乱动态来提高SNN学习的有效性和稳定性.

主要方法:

  • 开发了CSBP,结合了损失函数,在训练期间产生类似大脑的混乱动态.
  • 利用混乱动态的ergodic和伪随机性质来促进SNN学习.
  • 分析了理论学习过程,观察了最初的混乱,随后是分叉和趋同到梯度动力学.

主要成果:

  • 在神经形态 (DVS-CIFAR10,DVS-Gesture) 和大规模静态数据集 (CIFAR100,ImageNet) 上,CSBP显著超过了最先进的方法.
  • 在使用CSBP方法的训练有素的SNNs中表现出卓越的准确性和稳定性.
  • 理论分析证实了学习轨迹反映了生物大脑活动模式.

结论:

  • CSBP提供了一种强大的新工具,用于直接和有效地训练尖端神经网络.
  • 该方法通过利用混乱动态来提高SNN性能,解决传统梯度式方法的局限性.
  • 通过计算建模,提供了对生物大脑学习机制的宝贵见解.