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相关概念视频

Long-term Potentiation01:35

Long-term Potentiation

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Long-term potentiation, or LTP, is one of the ways by which synaptic plasticity—changes in the strength of chemical synapses—can occur in the brain. LTP is the process of synaptic strengthening that occurs over time between pre- and postsynaptic neuronal connections. The synaptic strengthening of LTP works in opposition to the synaptic weakening of long-term depression (LTD) and together are the main mechanisms that underlie learning and memory.
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Real-World Application of Classical Conditioning01:15

Real-World Application of Classical Conditioning

553
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...
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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...
1.2K
Drug Abuse and Addiction: Pharmacological Phenomena01:15

Drug Abuse and Addiction: Pharmacological Phenomena

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Drug dependence, abuse, and addiction are complex phenomena that can precipitate various abnormal states. Physical dependence refers to a state of pharmacological adaptation to a drug. This adaptation often results in tolerance—a reduced response to the drug after repeated administrations. When the drug use is abruptly stopped, withdrawal symptoms occur due to the body's need to readjust from the pharmacologically induced imbalance. However, tolerance and withdrawal symptoms do not...
469
Associative Learning01:27

Associative Learning

350
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...
350
Higher Mental Functions of Brain: Learning and Memory01:26

Higher Mental Functions of Brain: Learning and Memory

758
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...
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相关实验视频

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

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操作者调节神经形态电路与上和时间记忆自动学习.

Gang Dou, Wenhai Guo, Lingtong Kong

    IEEE transactions on biomedical circuits and systems
    |April 15, 2024
    PubMed
    概括

    这项研究引入了一种新的神经形态电路,用于使用操作条件的自动学习. 该电路结合了时间记忆和上性,使其能够适应复杂的场景,并引用高级大脑启发系统的生物行为.

    科学领域:

    • 神经科学是一个神经科学.
    • 计算神经科学是一种神经科学.
    • 人工智能的人工智能

    背景情况:

    • 传统的操作条件电路往往过于简化了反机制.
    • 有限的研究涉及复杂的反结果和学习回路中的时间不确定性.

    研究的目的:

    • 提出一种基于操作条件的自动学习的新型神经形态电路.
    • 结合成性和时间记忆,以提高学习能力.
    • 为了使适应复杂的环境和持续的记忆重塑.

    主要方法:

    • 开发一个神经形态电路,包括饥饿输出,神经元,兴奋输出,基于memristor的决策和记忆/反模块.
    • 实施随机反过程以实现输出刺激和成.
    • 整合饥饿和腹机制来模拟生物行为和探索欲望.

    主要成果:

    • 电路成功地形成了奖励之间的间隔的记忆.
    • 它通过其集成的功能来证明适应复杂场景的适应性.
    • 该系统通过应用操作式调节原则来实现自动学习.

    结论:

    • 拟议的神经形态电路有效地模拟操作条件与上性和时间记忆.

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  • 这种方法为更智能的大脑启发的神经系统提供了基础.
  • 这项研究强调了将生物行为纳入人工学习系统的潜力.