关于行为背景的内部决策的整个皮层动态.
bioRxiv : the preprint server for biology
|December 31, 2025
概括
人类大脑使用广泛的神经网络进行内部决策,甚至在视觉皮层,以跟踪不断变化的规则. 这项研究揭示了大脑如何积累抽象认知选择的证据.
科学领域:
- 认知神经科学 认知神经科学
- 计算神经科学是一种神经科学.
背景情况:
- 人类的决策往往导致运动行为,神经信号反映了这一过程.
- 内部决策与公开行动不同,通过选择感官运动过程的规则来指导行为.
研究的目的:
- 调查关于刺激-响应映射规则的内部决策的大脑动态.
- 了解大脑如何使用模两可的感官线索跟踪规则的变化.
主要方法:
- 使用了源级磁脑电图 (MEG) 数据.
- 应用基于计算模型的解码来分析神经表征.
- 研究参与者执行视觉定向判断与隐藏的规则变化.
主要成果:
- 在多个大脑区域,包括脑后皮层中,识别了关于活性规则的内部信念的表现.
- 观察到这些神经表示与规范模型的预测保持一致.
- 在与公开决策相关的前部区域中发现了类似的代表性概况.
结论:
- 一个分布式皮质网络支持内部决策的证据积累.
- 即使是视觉皮层也可以代表高层次的认知信念和规则.
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