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相关概念视频

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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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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Sequence Networks of Rotating Machines01:24

Sequence Networks of Rotating Machines

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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...
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Multi-input and Multi-variable systems01:22

Multi-input and Multi-variable systems

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Cruise control systems in cars are designed as multi-input systems to maintain a driver's desired speed while compensating for external disturbances such as changes in terrain. The block diagram for a cruise control system typically includes two main inputs: the desired speed set by the driver and any external disturbances, such as the incline of the road. By adjusting the engine throttle, the system maintains the vehicle's speed as close to the desired value as possible.
In the absence...
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Observational Learning01:12

Observational Learning

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Albert Bandura's observational learning, also known as imitation or modeling, occurs when a person observes and imitates another's behavior. It is a quicker process than operant conditioning. A well-known example is the Bobo doll study, where children who saw an adult acting aggressively towards the doll were more likely to act aggressively when left alone, compared to those who observed a nonaggressive adult. Many psychologists view observational learning as a form of latent learning...
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Associative Learning01:27

Associative Learning

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Associative learning is a fundamental concept in behavioral psychology, wherein a connection is established between two stimuli or events, leading to a learned response. This process is critical in understanding how behaviors are acquired and modified. Conditioning, the mechanism through which associations are formed, can be divided into two main types: classical conditioning and operant conditioning, each elucidating different aspects of associative learning.
Classical conditioning, also known...
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相关实验视频

Updated: Sep 16, 2025

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline
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通过通用神经符号回归学习可解释的网络动态.

Jiao Hu1,2, Jiaxu Cui3,4, Bo Yang5,6

  • 1College of Computer Science and Technology, Jilin University, Changchun, China.

Nature communications
|July 5, 2025
PubMed
概括

本研究介绍了一种通用计算工具,该工具结合了深度学习和符号回归,自动发现复杂网络动态的治理方程. 该工具有效地揭示了各种科学领域的隐藏模式,有助于决策和科学发现.

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相关实验视频

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科学领域:

  • 复杂系统科学 复杂系统科学
  • 计算科学 计算科学
  • 网络动态 网络动态

背景情况:

  • 发现复杂网络动态的治理方程对于理解系统演变至关重要.
  • 丰富的数据需要先进的工具来揭示隐藏的模式和机制.
  • 当前的方法在推断符号方程时可能缺乏效率或准确性.

研究的目的:

  • 开发一种通用计算工具,用于自动,高效和准确地学习复杂系统动态中的符号模式.
  • 将深度学习的拟合能力与预训练的符号回归的推理能力相结合.
  • 为揭示复杂现象中隐藏的机制提供解决方案.

主要方法:

  • 开发了一种混合计算工具,集成了深度学习和符号回归.
  • 雇员预先训练有素的符号回归用于方程推理.
  • 结合深度学习用于数据匹配和模式识别.

主要成果:

  • 在十多个不同的场景 (物理,生物化学,生态,流行病学) 中表现出了显著的有效性和效率.
  • 在网络动态中超越了最先进的符号回归技术.
  • 通过全球流行病传播和行人运动等现实世界系统验证了实际适用性.

结论:

  • 开发的工具是解读复杂现象的通用解决方案.
  • 它提升了科学解释性,并促进了新的发现.
  • 该工具对各种科学领域的决策产生了重大影响.