活跃自动运动估计中的内部模型:惯性感官线索的作用
Milou J L van Helvert1, Luc P J Selen1, Robert J van Beers1,2
1Radboud University, Donders Institute for Brain, Cognition and Behaviour, Nijmegen, The Netherlands.
Journal of neurophysiology
|June 14, 2025
概括
大脑构建了一个内部方向盘模型来预测运动,在可预测的情况下使用过去的方向盘数据. 该模型有助于在驾驶和其他场景中估计自动运动.
科学领域:
- 神经科学是一个神经科学.
- 人类运动控制人体运动控制
- 感官整合 感官整合
背景情况:
- 自动运动感知依赖于感官输入和运动输出预测.
- 准确的内部模型的方向盘动力学可以使预测惯性线索从电机命令在驾驶过程中.
研究的目的:
- 调查人类是否可以构建方向盘动态的内部模型.
- 为了确定方向盘控制是否适应方向盘运动增益的可预测性.
主要方法:
- 在黑暗中的运动平台上进行了闭环方向盘实验.
- 参与者驾驶方向以与视觉目标保持一致,驾驶动作增益在试验中变化不可预测,适度可预测或可预测.
- 分析了转向行为,以区分内部模型和路径集成假设.
主要成果:
- 使用先前试验的参与者在随机步行后获得更多的收益,而不是不可预测的变化.
- 对增益跳跃的快速校正反应表明依赖惯性反与预测一起.
- 证据支持构建一个内部模型来预测方向盘的感官后果.
结论:
- 大脑构建方向盘动态的内部模型,以预测惯性感官后果.
- 这些预测模型对于准确的自我运动估计至关重要,特别是在像驾驶这样的动态环境中.
- 研究结果强调了运动控制中的预测和感官反之间的相互作用.
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