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相关概念视频

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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Arithmetic Mean01:08

Arithmetic Mean

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The arithmetic mean is the most commonly used measure of the central tendency of a data set. It is defined as the sum of all the elements constituting the data set, divided by the total number of elements. It is sometimes loosely referred to as the “average.”
When all the values in a data set are not unique, the sum in the numerator can be calculated by multiplying each distinct value by its frequency.
Sometimes, the arithmetic mean of a sample can be affected by a few data points...
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Arithmetic Sequences01:30

Arithmetic Sequences

243
An arithmetic sequence is a structured arrangement of numbers where each term is derived by adding a constant value, known as the common difference, to the previous term. This consistent pattern allows for the efficient computation of any term within the sequence as well as the cumulative sum of multiple terms. The formula for finding the nth term of an arithmetic sequence is:Here, aₙ represents the nth term of the sequence, a is the first term, d is the common difference, and n is the...
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Phasor Arithmetics01:13

Phasor Arithmetics

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Phasors and their corresponding sinusoids are interrelated, offering unique insights into the behavior of alternating current (AC) circuits. One way to understand this relationship is through the operations of differentiation and integration in both the time and phasor domains.
When the derivative of a sinusoid is taken in the time domain, it transforms into its corresponding phasor multiplied by j-omega (jω) in the phasor domain, where j is the imaginary unit, and ω is the angular...
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Association Areas of the Cortex01:21

Association Areas of the Cortex

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Association areas are regions of the cerebral cortex that do not have a specific sensory or motor function. Instead, they integrate and interpret information from various sources to enable higher cognitive processes such as memory, learning, and decision-making. Some key association areas include the following:
Prefrontal Association Area: This area is located in the frontal lobe and is involved in planning, decision-making, and moderating social behavior. It connects with primary motor areas,...
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C4 Pathway and CAM01:27

C4 Pathway and CAM

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Most plants use the C3 pathway for carbon fixation. However, some plants, such as sugar cane, corn, and cacti that grow in hot conditions, use alternative pathways to fix carbon and conserve energy loss due to photorespiration. Photorespiration is the process that occurs when the oxygen concentration is high. Under such conditions, the rubisco enzyme in the Calvin cycle binds O2 instead of CO2, which halts photosynthesis and consumes energy.
C4 Pathway
The C4 pathway is used by plants such as...
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相关实验视频

Updated: Feb 14, 2026

A Pathway Association Study Tool for GWAS Analyses of Metabolic Pathway Information
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A Pathway Association Study Tool for GWAS Analyses of Metabolic Pathway Information

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学习算术的途径:协会式和过程式学习的不同动态.

Paula A Maldonado Moscoso1, Elisabeth Goettfried2, Demis Basso3

  • 1Center for Mind/Brain Sciences, University of Trento, Rovereto 38068, Italy.

Cognition
|February 12, 2026
PubMed
概括
此摘要是机器生成的。

成年人通过记忆或策略学习算术,表现出不同的学习模式和认知联系. 了解这些差异是有效的教育干预和康复计划的关键.

关键词:
成人学习 成人学习.算术算术是指一个算术.协作式学习是一种协作式学习.学习轨迹的学习轨迹程序式学习是一种过程式的学习.

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Appetitive Associative Olfactory Learning in Drosophila Larvae
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Appetitive Associative Olfactory Learning in Drosophila Larvae

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科学领域:

  • 认知心理学 认知心理学
  • 神经科学是一个神经科学.
  • 教育心理学教育心理学

背景情况:

  • 学习包括基于记忆的关联和基于规则的策略.
  • 成年人对算术的学习及其认知基础需要进一步的研究.
  • 了解学习动态对于有效的再教育至关重要,特别是在算术方面.

研究的目的:

  • 调查健康成年人中协会式与程序式算术学习的不同学习轨迹和认知基础.
  • 为了比较基于记忆的算术学习与基于策略的算术学习的动态.
  • 为了确定不同学习风格的认知预测因素在算术.

主要方法:

  • 健康的成年人使用关联或程序方法学习了新的算术问题.
  • 个人学习轨迹是使用反向效率得分来建模的.
  • 回归分析确定了每个学习条件的预测因素,错误分析检查了过程转移.

主要成果:

  • 协会式学习和程序式学习都达到了可比的绩效水平.
  • 关联式学习显示出快速,突然的效率增长,而程序式学习显示出渐进的,更顺的进展.
  • 口头长期记忆预测了关联式学习,而特定的算术能力预测了程序式学习.

结论:

  • 关联式和程序式算术学习涉及不同的认知机制和轨迹.
  • 尽管表现趋同,但在一个条件下学习效率的增长并不能预测在另一个条件下的增长.
  • 量身定制的教育和康复干预措施应考虑算术学习的个体认知特征.