生物和人工智能系统中的脑间神经动力学
Xingjian Zhang1,2, Nguyen Phi1,2, Qin Li1,2,3
1Department of Neurobiology, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA.
Nature
|July 3, 2025
概括
研究人员在社交互动过程中探索了小鼠和人工智能的神经动态. 他们发现了不同的神经子空间, GABAergic神经元表现出更多的共同活动, 这对两种系统的社会行为至关重要.
科学领域:
- 神经科学
- 人工智能
- 计算神经科学
背景情况:
- 社交互动是一个动态的反循环.
- 了解社交互动的神经基础至关重要.
研究的目的:
- 在小鼠和人工智能系统中调查大脑间的神经动态.
- 确定社会互动背后的神经机制.
主要方法:
- 在社会互动小鼠的背中前额皮质中测量了神经元活动.
- 在人工智能中分析神经动态.
- 将神经空间划分为共享和独特的子空间.
- 破坏神经元件有助于共享动态.
主要成果:
- 在社交互动过程中确定了个体内共享和独特的神经子空间.
- 与谷氨酸活性神经元相比,GABA活性神经元具有更大的共享神经子空间.
- 在社交交互过程中,人工智能代理出现了共享的神经动态.
- 破坏共享的神经动态减少了人工智能代理人的社会行为.
结论:
- 分享的神经动力学是相互作用的神经系统的一个基本和可概括的特征.
- 分享的神经动力学在推动生物和人工代理的社会相互作用中发挥着功能性作用.
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