Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

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
Neural Circuits01:25

Neural Circuits

1.3K
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...
1.3K
Propagation of Action Potentials01:23

Propagation of Action Potentials

5.9K
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...
5.9K
Sequence Networks of Rotating Machines01:24

Sequence Networks of Rotating Machines

117
A Y-connected synchronous generator, grounded through a neutral impedance, is designed to produce balanced internal phase voltages with only positive-sequence components. The generator's sequence networks include a source voltage that is exclusively in the positive-sequence network. The sequence components of line-to-ground voltages at the generator terminals illustrate this configuration.
Zero-sequence current induces a voltage drop across the generator's neutral impedance and other...
117
Neural Regulation01:37

Neural Regulation

39.5K
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.
39.5K

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Subspace communication in the hippocampal-retrosplenial axis.

Nature·2026
Same author

Hierarchical Gating of Cortical Population Dynamics Drives Pain.

bioRxiv : the preprint server for biology·2026
Same author

Reduced mediodorsal thalamus activity underlies aberrant belief dynamics in a genetic mouse model of schizophrenia.

Nature neuroscience·2026
Same author

A cautionary tale for AI and machine learning in psychiatry.

Translational psychiatry·2026
Same author

Subspace communication in the hippocampal-retrosplenial axis.

bioRxiv : the preprint server for biology·2026
Same author

The neural basis for uncertainty processing in hierarchical decision making.

Nature communications·2025
Same journal

Keying Into Cognition: Temporal Smoothing of Smartphone Typing Behaviors for Passive Assessment of Processing Speed and Executive Function in Individuals With Mood Disorders.

Cognitive computation·2026
Same journal

Neurodynamical Computing at the Information Boundaries of Intelligent Systems.

Cognitive computation·2024
Same journal

Large-Kernel Attention for 3D Medical Image Segmentation.

Cognitive computation·2024
Same journal

Robust Resting-State Dynamics in a Large-Scale Spiking Neural Network Model of Area CA3 in the Mouse Hippocampus.

Cognitive computation·2023
Same journal

Deep Learning Based Traffic Prediction Method for Digital Twin Network.

Cognitive computation·2023
Same journal

Integrating Economic Theory, Domain Knowledge, and Social Knowledge into Hybrid Sentiment Models for Predicting Crude Oil Markets.

Cognitive computation·2023
查看所有相关文章

相关实验视频

Updated: Jul 15, 2025

Using Neuron Spiking Activity to Trigger Closed-Loop Stimuli in Neurophysiological Experiments
05:19

Using Neuron Spiking Activity to Trigger Closed-Loop Stimuli in Neurophysiological Experiments

Published on: November 12, 2019

7.1K

尖端循环神经网络在依赖规则的计算中代表任务相关的神经序列.

Xiaohe Xue1, Ralf D Wimmer2, Michael M Halassa2

  • 1Courant Institute of Mathematical Sciences, New York University, New York, NY, USA.

Cognitive computation
|September 29, 2023
PubMed
概括
此摘要是机器生成的。

这项研究介绍了一种尖的循环神经网络 (SRNN) 模型,该模型成功模仿了依赖规则的认知任务. 该模型揭示了对于理解工作记忆和决策至关重要的新兴神经动态.

关键词:
神经振荡是一种神经振荡.神经序列的神经序列前额叶皮层前额叶皮层.尖的经常性神经网络.

更多相关视频

Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks
11:18

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

Published on: March 2, 2015

10.3K
Measuring and Manipulating Functionally Specific Neural Pathways in the Human Motor System with Transcranial Magnetic Stimulation
09:52

Measuring and Manipulating Functionally Specific Neural Pathways in the Human Motor System with Transcranial Magnetic Stimulation

Published on: February 23, 2020

9.2K

相关实验视频

Last Updated: Jul 15, 2025

Using Neuron Spiking Activity to Trigger Closed-Loop Stimuli in Neurophysiological Experiments
05:19

Using Neuron Spiking Activity to Trigger Closed-Loop Stimuli in Neurophysiological Experiments

Published on: November 12, 2019

7.1K
Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks
11:18

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

Published on: March 2, 2015

10.3K
Measuring and Manipulating Functionally Specific Neural Pathways in the Human Motor System with Transcranial Magnetic Stimulation
09:52

Measuring and Manipulating Functionally Specific Neural Pathways in the Human Motor System with Transcranial Magnetic Stimulation

Published on: February 23, 2020

9.2K

科学领域:

  • 计算神经科学是一种计算神经科学.
  • 认知神经科学是一种认知神经科学.

背景情况:

  • 前额叶皮层神经元对于依赖规则的任务和工作记忆至关重要.
  • 这些神经元对于决策过程至关重要.

研究的目的:

  • 开发一种生物约束的尖循环神经网络 (SRNN) 模型.
  • 模拟一个依赖于规则的两种替代强制选择 (2AFC) 任务.
  • 调查新兴的神经表征和动态.

主要方法:

  • 开发了一个具有生物约束力的尖循环神经网络 (SRNN).
  • 在培训中使用尖峰频率适应 (SFA) 和超尖峰梯度方法.
  • 在各种条件下模拟任务执行和神经表示.

主要成果:

  • 经过训练的SRNN展示了新出现的规则特定调整和人口动态,反映了实验数据.
  • 研究了诸如延迟时间和E/I平衡等参数对任务执行的影响.
  • 分析了规则编码错误和网络连接对神经表征的影响.

结论:

  • SRNN提供了一个计算框架,用于理解精细时间尺度的神经元表示.
  • 该模型提供了对工作记忆和认知控制机制的见解.
  • 为未来的实验验证生成可测试的假设.