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

Reinforcement Schedules01:24

Reinforcement Schedules

447
Positive reinforcement is a powerful method for teaching new behaviors to both animals and humans. B.F. Skinner demonstrated this with his experiments using rats in a Skinner box. When a rat pressed a lever, it received a food pellet. This immediate reward encouraged the rat to repeat the behavior. This method, where a reward follows every instance of the behavior, is known as continuous reinforcement. It is highly effective for establishing new behaviors quickly.
Once a behavior is learned,...
447
Reinforcement01:23

Reinforcement

816
Positive and negative reinforcement are key concepts in operant conditioning, a learning process where the consequences of a behavior affect the likelihood of that behavior being repeated.
Positive reinforcement occurs when a behavior is followed by the presentation of a rewarding stimulus, increasing the frequency of that behavior. For example:
816
Associative Learning01:27

Associative Learning

1.2K
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...
1.2K
Passive Diffusion: Overview and Kinetics01:17

Passive Diffusion: Overview and Kinetics

1.2K
Passive diffusion is a critical process that allows small lipophilic drugs to cross the cell membrane along a concentration gradient. This mechanism's efficiency depends on four primary factors: the membrane's surface area, the drug's lipid-water partition coefficient, the concentration gradient, and the membrane's thickness.
When administered orally, drugs establish a substantial concentration gradient between the gastrointestinal (GI) lumen and the bloodstream, expediting...
1.2K
Real-World Application of Classical Conditioning01:15

Real-World Application of Classical Conditioning

1.3K
Classical conditioning not only includes the initial pairing of stimuli but also extends to more complex forms, such as higher-order conditioning. Higher-order conditioning involves creating associations beyond the primary conditioned stimulus, resulting in a chain of conditioned responses.
Higher-order, or second-order, conditioning occurs when a neutral stimulus becomes associated with an already established conditioned stimulus through repeated pairings. For instance, if a dog has been...
1.3K

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

Benchmarking the Robustness of Autonomous Driving to Environmental Illusions: A Lane Perception Perspective.

IEEE transactions on pattern analysis and machine intelligence·2026
Same author

Holistic Invariant Retracing for Distortion-Resilient Multi-Modal Learning in Spatial Transcriptomics.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
Same author

Demonstration of efficient predictive surrogates for large-scale quantum processors.

Nature communications·2026
Same author

A DeepSeek-powered AI system for automated chest radiograph interpretation in clinical practice.

Nature communications·2026
Same author

Semantic token-guided hierarchical adversarial knowledge distillation for 3D abdominal organ segmentation.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society·2026
Same author

NoisePO: Efficient Semantic Noise Generation and Ranking for Diffusion-Based Text-to-Image Synthesis.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026

相关实验视频

Updated: Jan 14, 2026

A Method for Remotely Silencing Neural Activity in Rodents During Discrete Phases of Learning
09:22

A Method for Remotely Silencing Neural Activity in Rodents During Discrete Phases of Learning

Published on: June 22, 2015

15.0K

带有时间条件指导的指示式扩散器用于离线增强学习.

Jifeng Hu, Yanchao Sun, Sili Huang

    IEEE transactions on pattern analysis and machine intelligence
    |January 12, 2026
    PubMed
    概括

    本研究介绍了临时组合式扩散器 (TCD),这是一种新的扩散模型,有效地使用时间信息来控制强化学习 (RL) 中的可控顺序生成. 通过完善时间条件以提高线下RL任务的性能,TCD增强了决策.

    科学领域:

    • 人工智能的人工智能
    • 机器学习 机器学习
    • 深度学习 (Deep Learning) 是一种深度学习.

    背景情况:

    • 扩散模型在计算机视觉和NLP方面表现有前途.
    • 它们在强化学习 (RL) 中的应用正在出现,将决策作为顺序生成.
    • 有效地纳入时间信息来指导扩散模型仍然是一个挑战.

    研究的目的:

    • 通过精细的时间条件来研究可控制的发电.
    • 分析不同时间条件在顺序生成中的重要性和比较.
    • 为增强的RL提议一种新的时间条件扩散模型.

    主要方法:

    • 开发了临时组合式扩散器 (TCD),一种扩散模型,可以从相互作用序列中提取和利用时间信息.
    • 将序列分为历史,即时和未来的时间条件,每一个都保留了不重叠的信息.
    • 雇佣了这些条件的共同使用,以指导可控发电的扩散过程.

    主要成果:

    • 在各种顺序生成场景中证明了时间条件的重要性.
    • 在线强化学习任务中,TCD实现了最先进的状态 (SOTA) 或可比的性能.
    • 广泛的实验验证了该模型的适用性和有效性.

    更多相关视频

    Classical Short-Delay Eyeblink Conditioning in One-Year-Old Children
    07:36

    Classical Short-Delay Eyeblink Conditioning in One-Year-Old Children

    Published on: September 1, 2018

    39.6K
    A Fully Automated Rodent Conditioning Protocol for Sensorimotor Integration and Cognitive Control Experiments
    09:43

    A Fully Automated Rodent Conditioning Protocol for Sensorimotor Integration and Cognitive Control Experiments

    Published on: April 15, 2014

    11.0K

    相关实验视频

    Last Updated: Jan 14, 2026

    A Method for Remotely Silencing Neural Activity in Rodents During Discrete Phases of Learning
    09:22

    A Method for Remotely Silencing Neural Activity in Rodents During Discrete Phases of Learning

    Published on: June 22, 2015

    15.0K
    Classical Short-Delay Eyeblink Conditioning in One-Year-Old Children
    07:36

    Classical Short-Delay Eyeblink Conditioning in One-Year-Old Children

    Published on: September 1, 2018

    39.6K
    A Fully Automated Rodent Conditioning Protocol for Sensorimotor Integration and Cognitive Control Experiments
    09:43

    A Fully Automated Rodent Conditioning Protocol for Sensorimotor Integration and Cognitive Control Experiments

    Published on: April 15, 2014

    11.0K

    结论:

    • 时间组合式扩散器 (TCD) 通过利用精细的时间信息,为RL中可控生成提供了一种有效的方法.
    • 提出的将序列分成不同的时间条件的方法提高了发电控制.
    • TCD显示出在线RL环境中推进顺序决策的巨大潜力.