适应性行为是由受控和非受控信息的集成表示指导的
Bingfang Huang1,2, Harrison Ritz3, Jiefeng Jiang1,2,4
1Department of Psychological and Brain Sciences, University of Iowa, Iowa City, IA 52242, USA.
bioRxiv : the preprint server for biology
|August 20, 2025
概括
这项研究揭示了大脑将自动 (非受控) 和目标导向 (受控) 的关联整合到一个单一的神经表征中,指导适应性行为.
科学领域:
- 认知神经科学 认知神经科学
- 决策过程中的神经科学
背景情况:
- 了解适应性行为的神经机制是必不可少的.
- 任务知识通过集成表示来神经编码.
- 控制和非控制的关联指导行为.
研究的目的:
- 为了测试一个连接任务表示的理论.
- 研究受控和非受控关联的同时神经编码.
- 为了分离这些协会的电脑电图 (EEG) 表示.
主要方法:
- 扩展了项目特定比例一致性范式.
- 使用电脑电图 (EEG) 解码分析.
- 进行了大脑行为分析.
主要成果:
- 行为数据证实了协会驱动的适应性行为.
- 脑电图解码显示了受控和非受控协会的并发和差异表示.
- 更强烈的关联与更快的响应时间相关.
结论:
- 结果支持一个集成的任务表示模型.
- 控制和非控制的协会都受到这种综合代表的管理.
- 这个集成系统同时指导适应性行为.
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