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相关概念视频

Reinforcement Schedules01:24

Reinforcement Schedules

144
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,...
144
Instinctive Drift01:05

Instinctive Drift

209
Instinctive drift refers to the tendency of animals to revert to their innate behaviors despite repeated reinforcement. Breland and Breland demonstrated this concept in an experiment with a raccoon. The raccoon was trained to pick up two coins and place them in a container in exchange for food. Initially, the raccoon learned to associate the coins with food, making them a conditioned stimulus or a substitute for food. However, over time, the raccoon became less willing to put the coins into the...
209
Randomized Experiments01:13

Randomized Experiments

6.9K
The randomization process involves assigning study participants randomly to experimental or control groups based on their probability of being equally assigned. Randomization is meant to eliminate selection bias and balance known and unknown confounding factors so that the control group is similar to the treatment group as much as possible. A computer program and a random number generator can be used to assign participants to groups in a way that minimizes bias.
Simple randomization
Simple...
6.9K
Basic Continuous Time Signals01:22

Basic Continuous Time Signals

210
Basic continuous-time signals include the unit step function, unit impulse function, and unit ramp function, collectively referred to as singularity functions. Singularity functions are characterized by discontinuities or discontinuous derivatives.
The unit step function, denoted u(t), is zero for negative time values and one for positive time values, exhibiting a discontinuity at t=0. This function often represents abrupt changes, such as the step voltage introduced when turning a car's...
210
Censoring Survival Data01:09

Censoring Survival Data

88
Survival analysis is a statistical method used to analyze time-to-event data, often employed in fields such as medicine, engineering, and social sciences. One of the key challenges in survival analysis is dealing with incomplete data, a phenomenon known as "censoring." Censoring occurs when the event of interest (such as death, relapse, or system failure) has not occurred for some individuals by the end of the study period or is otherwise unobservable, and it might have many different...
88
Sampling Continuous Time Signal01:11

Sampling Continuous Time Signal

237
In signal processing, a continuous-time signal can be sampled using an impulse-train sampling technique, followed by the zero-order hold method. Impulse-train sampling involves the use of a periodic impulse train, which consists of a series of delta functions spaced at regular intervals determined by the sampling period. When a continuous-time signal is multiplied by this impulse train, it generates impulses with amplitudes corresponding to the signal's values at the sampling points.
In the...
237

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Automated, Quantitative Cognitive/Behavioral Screening of Mice: For Genetics, Pharmacology, Animal Cognition and Undergraduate Instruction
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在随机重置状态下间歇性随机步行.

Rosa Flaquer-Galmés1, Daniel Campos1, Vicenç Méndez1

  • 1Grupo de Física Estadística, Departament de Física, Universitat Autònoma de Barcelona, 08193 Bellaterra, Spain.

Physical review. E
|April 18, 2024
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概括
此摘要是机器生成的。

这项研究探讨了间歇性随机步行与随机重置,找到一个最佳的重置率,以高效的目标搜索. 最初的条件对长期的搜索动态有很大影响,揭示了优化搜索时间的不同模式.

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Using a Real-Time Locating System to Measure Walking Activity Associated with Wandering Behaviors Among Institutionalized Older Adults
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Asymmetric Walkway: A Novel Behavioral Assay for Studying Asymmetric Locomotion
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科学领域:

  • 统计物理 统计物理
  • 随机过程 随机过程
  • 复杂的系统复杂的系统.

背景情况:

  • 间歇性随机步行模型各种搜索策略.
  • 随机重置为搜索过程引入非平衡动态.
  • 了解搜索效率在生物物理学和计算机科学等领域至关重要.

研究的目的:

  • 分析一维间歇性随机步行与随机重置.
  • 调查初始条件对搜索动态的影响.
  • 为了确定有效地定位目标的最佳参数.

主要方法:

  • 一维间歇性随机步行的数学建模.
  • 整合了波伊森的随机重置.
  • 分析首次到达时间分布和平均首次到达时间.
  • 调查不同的初始条件 (扩散与弹道).

主要成果:

  • 波伊索尼重置建立了一个非平衡稳定状态.
  • 为了最大限度地减少平均首次到达时间,存在一个最佳的重置速率.
  • 最初的步行者条件 (扩散或弹道) 极大地影响长时间搜索属性.
  • 在弹道和扩散运动竞争时,出现了不同的参数模式来优化搜索.

结论:

  • 随机重置可以创建高效的非平衡搜索策略.
  • 运动类型和重置之间的相互作用是优化搜索的关键.
  • 最初的条件是间歇性搜索过程长期有效性的关键因素.