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相关概念视频

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...
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Automatic processing refers to the cognitive operations that occur without conscious intent or awareness, playing a fundamental role in shaping social cognition and behavior. These processes enable individuals to navigate complex social environments efficiently by relying on mental shortcuts and pre-existing knowledge structures known as schemas. One of the most influential mechanisms underlying automatic processing is priming, which subtly activates mental representations through exposure to...
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相关实验视频

Updated: May 5, 2026

Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks
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自成型的冲动性:使用神经网络模型的一些探索.

Miguel Aguayo-Mendoza1, Jonathan Buriticá1, José E Burgos1

  • 1Centro de Estudios e Investigación en Comportamiento, University of Guadalajara, Mexico.

Behavioural processes
|April 28, 2024
PubMed
概括
此摘要是机器生成的。

这项研究表明,扩散差异 (DD) 模型可以模拟自成形的冲动性. 引入痕迹间隔有效地消除了模拟中的这种冲动选择行为.

关键词:
人工神经网络的人工神经网络自动成形的 自动成形的计算式学习模型的学习模式.冲动性是一种冲动性.帕夫洛夫的意外情况.时间折扣是指时间折扣.

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科学领域:

  • 行为心理学 行为心理学
  • 计算神经科学是一种计算神经科学.

背景情况:

  • 自成型的冲动性描述了对较小,即时的奖励的偏好,而不是较大的,延迟的奖励.
  • 以前的研究 (阿尔卡拉,2017年;布尔戈斯和加西亚-利尔,2015年) 探索了这种现象.

研究的目的:

  • 评估加强延迟和大小对巴夫洛夫意外情况的影响.
  • 通过扩散差异 (DD) 模型扩大对自成型冲动性的理解.
  • 分析痕迹间隔对冲动选择行为的影响.

主要方法:

  • 使用了分散不一致 (DD) 模型与抑制单位.
  • 在两个信号上训练模型,其延迟和强化幅度各不相同.
  • 在没有强化或学习的同时选择任务中采用了主题内ABA设计.

主要成果:

  • DD模型成功模拟了自成形的冲动性,与之前的研究保持一致.
  • 该模型预测,当引入痕迹间隔时,自成形冲动性的消除.
  • 语境和抑制单位在模型的预测中发挥了作用.

结论:

  • DD模型为理解自成形冲动性提供了一个可行的框架.
  • 痕迹间隔可以减轻冲动性选择行为.
  • 这些发现支持对动物和人类进行进一步的研究.