语言学习对感知和概念处理的因果影响:对正确名称和类别术语的深度神经网络研究
Phuc T U Nguyen1, Malte R Henningsen-Schomers2,3, Friedemann Pulvermüller1,3,4,5
1Brain Language Laboratory, Department of Philosophy and Humanities, Freie Universität Berlin, Berlin 14195, Germany phuc.thu.uyen.nguyen@gmail.com friedemann.pulvermuller@fu-berlin.de.
语言塑造了我们如何形成概念. 学习类别术语,而不是正名,通过增加共享的神经元和使表示更相似,增强类别的神经表示.
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:
- 语言显著影响认知和概念处理.
- 语言对认知的因果影响背后的精确神经机制尚未完全理解.
研究的目的:
- 研究神经回路机制,通过语言,特别是类别术语与正名对比,影响概念处理.
- 模拟类别形成和符号学习,使用大脑受约束的深度神经网络.
主要方法:
- 利用了深度神经网络模型与生物现实的Hebbian学习.
- 对象/动作实例的模拟学习没有符号,正名 (PN) 或类别术语 (CT).
- 分析了新兴的神经电路机制和表示相似性.
主要成果:
- 赫比学习形成了特定实例和一般类别的神经元.
- 类别术语 (CT) 学习增加了共享的神经元,增强了类别的稳定性和相似性.
- 正确名称 (PN) 学习保留了特定实例的神经元,并阻碍了类别的概括.
结论:
- 符号学习,特别是类别术语,从根本上改变了概念的神经表征.
- 这些发现为语言如何影响感知和记忆提供了网络层面的解释.
- 这项研究阐明了学习一般类别标签与特定属性名称的独特神经效应.
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