有效的连接预测了感知决策信心,不确定性和速度的分布式神经编码
Abdoreza Asadpour1, KongFatt Wong-Lin1
1Intelligent Systems Research Centre, School of Computing, Engineering and Intelligent Systems, Ulster University, Derry~Londonderry, Northern Ireland, United Kingdom.
Imaging neuroscience (Cambridge, Mass.)
|August 13, 2025
概括
决策信心和反应速度依赖于不同的大脑网络. 我们的研究表明,这些网络不同,并使用跨皮层的非线性编码进行决策.
科学领域:
- 神经科学是一个神经科学.
- 认知科学 认知科学
- 决策研究 决策研究
背景情况:
- 决策与对准确性的信心有关.
- 存在感知决策信心的神经相关性.
- 反应时间 (RT) 是决定信心的间接指标,更快的RT往往表明更高的信心.
研究的目的:
- 调查选择信心和RT是否通过不同的神经通路进行介导.
- 确定信心和RT的神经相关值是否被非线性编码.
- 阐明底层决策信心和速度的神经动态.
主要方法:
- 功能性磁共振成像信息化的电脑图像学 (fMRI-EEG).
- 使用动态因果建模 (DCM) 对事件相关潜力的有效连接性分析.
- 试验对试验的DCM分析.
主要成果:
- 前线对称网络在快速与缓慢的RT条件和高与低的信心条件之间存在差异.
- 试验对试验的DCM分析表明RT的非线性编码和信心/不确定性.
- 发现了分布式,层特异的神经编码的证据.
结论:
- 决策信心和反应速度由独立的动态神经网络实例化.
- 这些网络分布在整个皮质层.
- 对于RT和信心的神经编码表现出非线性属性.
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