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相关概念视频

Cognitive Learning01:21

Cognitive Learning

432
Cognitive learning is based on purposive behavior, incidental learning, and insight learning.
E. C. Tolman's theory of purposive behavior emphasizes that much behavior is goal-directed. He argued that to understand behavior, we must look at the entire sequence of actions leading to a goal. For instance, high school students study hard, not just due to past reinforcement but also to achieve the goal of getting into a good college.
Tolman introduced the idea that behavior is influenced by...
432
Higher Mental Functions of Brain: Learning and Memory01:26

Higher Mental Functions of Brain: Learning and Memory

881
Memory is one of the most vital higher mental functions of the brain. Memory is closely related to learning because it enables us to retain information and experiences from our past to use them in our present life. It also helps us to remember facts, events, and skills, such as riding a bike or swimming. There are two types of memory — declarative memory, which involves memorizing facts or events, and procedural memory, which enables us to remember how to do something like writing or...
881
Associative Learning01:27

Associative Learning

450
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...
450
Working Memory01:24

Working Memory

385
Working memory refers to a combination of components, including short-term memory and attention, that allow an individual to hold information temporarily as we perform cognitive tasks. It is an essential cognitive function that enables the execution of complex tasks such as problem-solving, comprehension, and reasoning. Unlike short-term memory, which simply involves the storage of information for a brief period, working memory involves the active manipulation and processing of this...
385
Purposive Learning01:22

Purposive Learning

145
E. C. Tolman emphasized the purposiveness of behavior — the idea that much of our behavior is goal-directed. For instance, employees who aim for a promotion work diligently to meet their targets. Tolman argued that when classical conditioning and operant conditioning occur, the organism acquires certain expectations. In classical conditioning, a child might fear a dog because they expect it to bite. In operant conditioning, a person might consistently work overtime because they expect a...
145
Functional Brain Systems: Reticular Formation01:13

Functional Brain Systems: Reticular Formation

2.0K
The reticular formation is a complex network of gray and white matter located within the brainstem extending from the medulla to the midbrain.
Within the reticular formation, there are several distinct nuclei that can be classified into three broad categories. The Raphe nuclei are located along the midline of the brainstem. They are primarily known for their role in synthesizing and releasing serotonin, a neurotransmitter involved in regulating mood, appetite, sleep, and circadian rhythms. The...
2.0K

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Updated: Jul 24, 2025

Working Memory Training for Older Participants: A Control Group Training Regimen and Initial Intellectual Functioning Assessment
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Working Memory Training for Older Participants: A Control Group Training Regimen and Initial Intellectual Functioning Assessment

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动态地从组合到连接的脑表征转变,支持认知任务学习.

Ravi D Mill, Michael W Cole

    bioRxiv : the preprint server for biology
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    PubMed
    概括
    此摘要是机器生成的。

    学习将大脑活动模式从一般 (构成) 转变为特定 (结合),以更好地执行任务. 这种从皮质下产生并扩散到皮质的转移优化了神经表征,并减少了干扰.

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    科学领域:

    • 神经科学是一个神经科学.
    • 认知科学 认知科学
    • 计算神经科学是一种神经科学.

    背景情况:

    • 神经表现必须适应从新的认知任务到练习的认知任务.
    • 在学习过程中神经表征的几何变化并未得到充分理解.

    研究的目的:

    • 研究在认知任务学习过程中神经表示几何学的转变.
    • 为了测试这种假设,实践将表征从构成性转移到连接性.

    主要方法:

    • 功能性磁共振成像 (fMRI) 用于监测多重复杂任务的学习期间的大脑活动.
    • 分析的重点是神经表示的几何,特别是从组合到连接模式的过渡.

    主要成果:

    • 在任务学习过程中,观察到从构成性神经表示到连接性神经表示的动态转变.
    • 这种转变与减少交叉任务干扰,改善行为表现和增强模式分离有关.
    • 结合性表示被发现起源于皮下区域 (海马体,小脑),随后扩散到皮层区域.

    结论:

    • 认知任务学习涉及神经表达格式的根本性转变,从组成到连接.
    • 这种由皮层下皮层动力学驱动的过渡,作为学习的计算签名,并优化了练习任务的大脑功能.