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

Pharmacokinetic Models: Comparison and Selection Criterion01:26

Pharmacokinetic Models: Comparison and Selection Criterion

314
Physiological and compartmental models are valuable tools used in studying biological systems. These models rely on differential equations to maintain mass balance within the system, ensuring an accurate representation of the dynamic processes at play.
Physiological models take a detailed approach by considering specific molecular processes. They can predict drug distribution, metabolism, and elimination changes, providing a comprehensive understanding of how drugs interact with the body.
314
Synaptic Signaling01:09

Synaptic Signaling

6.5K
Neurons communicate at synapses, or junctions, to excite or inhibit the activity of other neurons or target cells, such as muscles. Synapses may be chemical or electrical.
Most synapses are chemical, meaning an electrical impulse or action potential spurs the release of chemical messengers called neurotransmitters. The neuron sending the signal is called the presynaptic neuron, and the neuron receiving the signal is the postsynaptic neuron.
The presynaptic neuron fires an action potential that...
6.5K
Synaptic Signaling01:12

Synaptic Signaling

79.1K
Neurons communicate at synapses, or junctions, to excite or inhibit the activity of other neurons or target cells, such as muscles. Synapses may be chemical or electrical.
79.1K
Frequency-dependent Selection01:21

Frequency-dependent Selection

23.0K
When the fitness of a trait is influenced by how common it is (i.e., its frequency) relative to different traits within a population, this is referred to as frequency-dependent selection. Frequency-dependent selection may occur between species or within a single species. This type of selection can either be positive—with more common phenotypes having higher fitness—or negative, with rarer phenotypes conferring increased fitness.
23.0K
Parameters Affecting Nonlinear Elimination: Zero-Order Input, First-Order Absorption and Two-Compartment Model01:13

Parameters Affecting Nonlinear Elimination: Zero-Order Input, First-Order Absorption and Two-Compartment Model

275
Drugs administered through various routes can lead to nonlinear elimination, resulting in complex pharmacokinetic behaviors crucial to understanding efficacious drug dosing.
When a drug is administered through a constant intravenous infusion and eliminated via nonlinear pharmacokinetics, it follows zero-order input. For example, oral drugs undergo first-order absorption upon administration and are eliminated through nonlinear pharmacokinetics.
In the case of subcutaneously administered drugs,...
275
Neural Circuits01:25

Neural Circuits

2.6K
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...
2.6K

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

Toward a unified theory of prediction and action.

Neuroscience research·2026
Same author

Triple equivalence in modelling insight and creativity: Classical and quantum perspectives.

Neuroscience research·2026
Same author

WormTracer: A precise method for worm posture analysis using temporal continuity.

Journal of neuroscience methods·2025
Same author

Active Inference and Intentional Behavior.

Neural computation·2025
Same author

On Predictive Planning and Counterfactual Learning in Active Inference.

Entropy (Basel, Switzerland)·2024
Same author

Federated inference and belief sharing.

Neuroscience and biobehavioral reviews·2023
Same journal

Observer-based ADP for secure resource allocation in high-order nonlinear multi-agent systems under FDI attacks.

Neural networks : the official journal of the International Neural Network Society·2026
Same journal

Concept mask-aware pruning and augmentation for few sample model compression.

Neural networks : the official journal of the International Neural Network Society·2026
Same journal

Hindsight-based state space exploration via counterfactual intrinsic reward assignment.

Neural networks : the official journal of the International Neural Network Society·2026
Same journal

Integrating visual and language cues via state space models for medical image segmentation.

Neural networks : the official journal of the International Neural Network Society·2026
Same journal

DNA: Improving text-based person search through distillation learning, negated relation-aware learning, and augmented representation learning.

Neural networks : the official journal of the International Neural Network Society·2026
Same journal

MCFusion-DDI: Multimodal cross-attention fusion of local-global features and latent drug associations for explainable DDI prediction.

Neural networks : the official journal of the International Neural Network Society·2026
查看所有相关文章

相关实验视频

Updated: Jan 10, 2026

Author Spotlight: Exploring Glial Influence in Experience-Dependent Synaptic Pruning During Critical Periods
07:13

Author Spotlight: Exploring Glial Influence in Experience-Dependent Synaptic Pruning During Critical Periods

Published on: March 1, 2024

1.0K

突触修剪方便在线贝叶斯模型选择.

Ukyo T Tazawa1, Takuya Isomura2

  • 1Brain Intelligence Theory Unit, RIKEN Center for Brain Science, 2-1 Hirosawa, Wako, Saitama 351- 0198, Japan; Department of Systems Science, Graduate School of Informatics, Kyoto University, Kyoto-shi, Kyoto, 606-8501, Japan; Department of Biological Sciences, Graduate School of Science, The University of Tokyo, Bunkyo-ku, Tokyo, 113-0033, Japan.

Neural networks : the official journal of the International Neural Network Society
|November 25, 2025
PubMed
概括
此摘要是机器生成的。

突触修剪,一个删除连接的过程,有助于大脑和人工智能有效地学习环境结构. 这种贝叶斯的突触模型修剪 (BSyMP) 方法通过删除无信息连接来优化模型.

关键词:
贝叶斯模型减少贝叶斯模型.贝叶斯模型选择选择的贝叶斯模型.自由能源原则是自由能源的原则.结构学习学习的结构突触剪裁是指突触剪裁.

更多相关视频

3D Modeling of Dendritic Spines with Synaptic Plasticity
07:13

3D Modeling of Dendritic Spines with Synaptic Plasticity

Published on: May 18, 2020

7.3K
Identification and Classification of Position-specific GABAA Receptor Subunit Missense Variants for Their Role In Hippocampal Pyramidal Neurons
08:04

Identification and Classification of Position-specific GABAA Receptor Subunit Missense Variants for Their Role In Hippocampal Pyramidal Neurons

Published on: June 6, 2025

1.3K

相关实验视频

Last Updated: Jan 10, 2026

Author Spotlight: Exploring Glial Influence in Experience-Dependent Synaptic Pruning During Critical Periods
07:13

Author Spotlight: Exploring Glial Influence in Experience-Dependent Synaptic Pruning During Critical Periods

Published on: March 1, 2024

1.0K
3D Modeling of Dendritic Spines with Synaptic Plasticity
07:13

3D Modeling of Dendritic Spines with Synaptic Plasticity

Published on: May 18, 2020

7.3K
Identification and Classification of Position-specific GABAA Receptor Subunit Missense Variants for Their Role In Hippocampal Pyramidal Neurons
08:04

Identification and Classification of Position-specific GABAA Receptor Subunit Missense Variants for Their Role In Hippocampal Pyramidal Neurons

Published on: June 6, 2025

1.3K

科学领域:

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

背景情况:

  • 确定生成或世界模型的最佳结构对于生物和人工系统至关重要.
  • 统计结构的学习对于有效的信息处理至关重要.

研究的目的:

  • 引入一种新的突触修剪方案,贝叶斯突触模型修剪 (BSyMP),用于高效的统计结构学习.
  • 证明BSyMP在确定可信的环境模型结构方面的有效性,特别是在稀疏数据的情况下.

主要方法:

  • 扩展了正规神经网络,以开发一个突触修剪方案.
  • 正式将该方案等同于在线贝叶斯模型选择.
  • 使用连接参数来启用/禁用突触连接 (ON/OFF状态).

主要成果:

  • 对于无信息连接,BSyMP参数汇聚到零,从而实现有效的模型缩小.
  • BSyMP在具有稀疏概率和过渡矩阵的环境中确定了可信的环境模型结构.
  • 与传统的贝叶斯模型减少方案相比,BSyMP在模拟中证明了更有效的模型减少方案.

结论:

  • 突触修剪是一种可行的神经元基质,用于大脑中的结构学习和概括性.
  • BSyMP提供了一种可靠和高效的方法,用于在人工系统中进行模型缩小和结构识别.
  • 这些发现弥合了生物学学习机制和人工模型优化之间的理解.