背侧前额叶皮层通过优化长期政策提取来驱动战略中止.
bioRxiv : the preprint server for biology
|December 9, 2024
概括
在虚拟现实中战略性地中止即时奖励,以最大限度地提高长期收益,展示个人长期绩效推理. 这种行为得到了模块化的强化学习网络的支持,并反映在背侧前额叶皮层活动中.
科学领域:
- 神经科学是一个神经科学.
- 认知科学 认知科学
- 行为经济学是一种行为经济学.
背景情况:
- 现实世界的决策往往需要平衡短期收益与长期利益.
- 以前的研究还没有完全阐明非人类灵长类动物的战略长期规划背后的神经机制.
研究的目的:
- 调查子中明显低于最佳的单次试验决定是否代表了战略的长期规划.
- 为了确定大脑中奖励最大化的堕胎行为的神经相关性.
主要方法:
- 在一个虚拟现实环境中进行了导航,并顺序地呈现了目标,并有机会取消报价.
- 强化学习 (RL) 模型,特别是模块化演员-关键网络,用于模拟和理解观察到的行为.
- 电生理学记录 (单个单位和种群动态) 在的背侧侧前额皮质 (dlPFC),面区域7a和背中侧上面区域 (MSTd) 中进行.
主要成果:
- strategically aborted offers,放弃即时奖励以最大限度地提高整体会话回报,表明个人的长期绩效推理.
- RL模型支持这种行为,建议通过状态-动作值来快速优化提供政策模块.
- 在dlPFC中神经活动,但不是7a或MSTd,反映了即将到来的奖励最大化堕胎行为.
结论:
- 的行为表明了战略的长期规划,通过选择性地取消为更大的会话长时间奖励的报价.
- 背侧前额叶皮层 (dlPFC) 似乎是战略决策的专门政策模块.
- 这些发现与强调分布式信念网络处理的模型形成鲜明对比,并突出了特定前额叶区域在优化长期结果中的作用.
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