我应该去哪里? 使用卷积神经网络解码场景处理和视觉空间记忆交互的时间神经动态
Clément Naveilhan1,2, Raphaël Zory1,3,4, Stephen Ramanoël1,5,6
1Université Côte d'Azur, LAMHESS, Nice, France.
Journal of vision
|August 28, 2025
概括
新学到的空间信息在场景感知期间迅速影响早期的大脑反应,整合视觉特征和上下文知识以实现目标导向的行为. 这会影响我们如何处理导航费用.
科学领域:
- 神经科学
- 认知心理学
- 计算神经科学
背景情况:
- 视觉场景感知通过整合特征和上下文快速解释环境.
- 这种整合对于目标导向行为和复杂空间的导航至关重要.
研究的目的:
- 在场景感知中研究下方向上和上方向下的时间神经动态.
- 确定空间知识是否立即调节导航能力的早期神经反应.
主要方法:
- 分析了30名参与者的脑电图 (EEG) 数据.
- 使用卷积神经网络 (CNN) 与梯度加权类激活映射 (Grad-CAM).
- 交错的场景记忆和视觉空间记忆任务与操纵的导航能力.
主要成果:
- 在视觉特征和空间记忆中确定了早期整合窗口 (50250毫秒).
- 在空间学习后未能进行概括.
- 空间知识对早期场景感知的直接上下影响是相关的.
结论:
- 场景和视觉空间记忆信息共享一个早期的整合窗口.
- 新获得的空间知识对早期神经处理场景感知产生直接的自上而下的影响.
- 这突显了记忆与感知在指导行为中的动态相互作用.
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