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相关概念视频

Neural Circuits01:25

Neural Circuits

1.6K
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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Neural Regulation01:37

Neural Regulation

40.4K
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.
40.4K
Neuronal Communication01:28

Neuronal Communication

1.5K
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...
1.5K
Propagation of Action Potentials01:23

Propagation of Action Potentials

7.0K
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...
7.0K
The Role of Ion Channels in Neuronal Computation01:19

The Role of Ion Channels in Neuronal Computation

3.3K
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....
3.3K
Overview of Synapses01:25

Overview of Synapses

3.1K
A synapse is a specialized structure where two neurons connect, allowing them to pass an electrical or chemical signal to another neuron. It is the point of communication between neurons. The term "synapse" is derived from the Greek word "synapsis," which means "conjunction." The entire process of neural communication revolves around the synapse. When activated, a neuron releases chemicals known as neurotransmitters into the synapse. These neurotransmitters cross the synapse and bind to...
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相关实验视频

Updated: Sep 19, 2025

Optogenetic Entrainment of Hippocampal Theta Oscillations in Behaving Mice
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Optogenetic Entrainment of Hippocampal Theta Oscillations in Behaving Mice

Published on: June 29, 2018

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低级SNNs的神经振荡:桥梁网络动态和认知功能.

Bin Li1, Tianyi Zheng1, Reo Otsuki1

  • 1Graduate School of Frontier Sciences, The University of Tokyo, Chiba, Japan.

Frontiers in computational neuroscience
|June 19, 2025
PubMed
概括

这项研究模拟了神经振荡,特别是马振荡,以了解它们在注意力和决策等认知功能中的作用. 这些发现解释了这些大脑节奏如何影响任务执行和信号处理.

关键词:
两叉分析的分析认知功能 认知功能马振荡的马振荡是什么这是一个低级别的低级别.神经计算的神经计算非线性动力学的非线性动力学经常性的神经网络.尖的神经网络的神经网络.

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Author Spotlight: Advancing Large-Scale Neural Dynamics Through HD-MEA Technology
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Author Spotlight: Advancing Large-Scale Neural Dynamics Through HD-MEA Technology

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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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相关实验视频

Last Updated: Sep 19, 2025

Optogenetic Entrainment of Hippocampal Theta Oscillations in Behaving Mice
07:33

Optogenetic Entrainment of Hippocampal Theta Oscillations in Behaving Mice

Published on: June 29, 2018

11.9K
Author Spotlight: Advancing Large-Scale Neural Dynamics Through HD-MEA Technology
09:44

Author Spotlight: Advancing Large-Scale Neural Dynamics Through HD-MEA Technology

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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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科学领域:

  • 计算神经科学是一种神经科学.
  • 认知神经科学 认知神经科学
  • 神经振荡是一种神经振荡.

背景情况:

  • 神经振荡,特别是马振荡,对于包括注意力,感知和决策在内的认知功能至关重要.
  • 实验证据将马振荡阶段与神经元反应选择性联系起来,但计算模型缺乏.
  • 了解振荡式认知调制的机制需要强大的模拟工具.

研究的目的:

  • 开发一个计算模型来研究结构化的连接如何影响神经振荡和认知功能.
  • 探索马振荡在认知任务中的作用,使用一种新的尖端神经网络.
  • 为结构化网络中出现的神经振荡提供理论框架.

主要方法:

  • 基于电压依赖的theta模型构建一个低级尖端神经网络 (SNN).
  • 宏观模型分析以识别网络状态,包括静止发射和马振荡.
  • 模拟Go-Nogo任务以评估相位依赖响应调制和信号增强.

主要成果:

  • 低级SNN模型成功地重现了马振荡,并确定了各种网络状态.
  • 该模型在Go-Nogo任务中展示了相位依赖响应调制,与实验结果保持一致.
  • 证明了马振荡可以增强和延长神经信号反应,提供了机械解释.

结论:

  • 这项研究为神经振荡如何调节认知任务性能提供了计算解释.
  • 开发的低级SNN模型将先前的工作扩展到人口级同步活动,同时保持生物可信性.
  • 这项研究为未来研究神经振荡在认知中的作用奠定了基础.