面向对象的动作表现部分构建在皮层中
Leyla Roksan Caglar1,2, Jon Walbrin2, Emefa Akwayena1,3
1Department of Psychology, Carnegie Mellon University, Pittsburgh, PA 15213.
概括
超边缘环 (SMG) 使用动力协同作用来表示复杂的对象导向动作. 与视觉模型不同,SMG活动是由运动特性驱动的,而不是视觉相似性,支持其在行动规划中的作用.
科学领域:
- 神经科学
- 认知科学
- 发动机控制
背景情况:
- 在物体操纵过程中, 下侧叶片至关重要.
- 这一区域内的超边缘 (SMG) 处理对象指向的动作.
- 了解大脑如何表现复杂的行为是运动控制的关键.
研究的目的:
- 调查超边缘环 (SMG) 如何代表复杂的对象指导行为.
- 确定动力协同作用是否构成这些表示的基本单位.
- 在SMG中区分视觉和基于运动的表示.
主要方法:
- 使用经验定义的动力协同作用开发了线性编码模型.
- 从这些协同作用中构建复杂的行动.
- 使用可计算图像相似性模型 (AlexNet,ResNet50,VGG16) 将SMG中的模型预测与视觉区域的模型进行比较.
主要成果:
- 通过动力协同模型预测了SMG中复杂的对象指向动作的神经表示.
- 视觉相似性模型 (AlexNet,ResNet50,VGG16) 预测了视觉区域,但没有SMG.
- 通过动态而不是视觉特征调节SMG活动.
结论:
- 超边缘环 (SMG) 使用动力协同作为基本单位来构建复杂的面向对象的表现.
- 这些表现与动作相关,而不是视觉相关,与阿普拉克西亚研究一致.
- 动态协同作用可能类似于语音产生的特征,形成复杂行动的构建块.
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