Motor memories of object dynamics are categorically organized.
Motor memories of object dynamics are categorically organized.
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DOI：
10.7554/elife.71627
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发表时间：
2021-11-19
期刊：
影响因子：
7.7
通讯作者：
Flanagan JR
中科院分区：
文献类型：
--
作者：
Cesanek E;Zhang Z;Ingram JN;Wolpert DM;Flanagan JR
预测物体动态的能力，将施加的力与运动联系起来，是我们执行日常任务的基础。因此，一个基本的问题是，我们与之互动的无数对象的动态是如何在记忆中组织的。使用定制的三维机器人界面，使我们能够模拟不同外观和重量的物体，我们研究了参与者如何学习他们反复举起的物体的重量。我们发现强有力的支持新的假设，即运动记忆的对象动态的分类组织，在家庭方面，在他们的视觉和机械性能的协变的基础上。这个假设的一个惊人的预测，由我们的研究结果支持，而不是由标准的关联映射模型预测，是权重偏离家庭预测权重的离群对象将永远不会被学习，尽管会导致重复的提升错误。
The ability to predict the dynamics of objects, linking applied force to motion, underlies our capacity to perform many of the tasks we carry out on a daily basis. Thus, a fundamental question is how the dynamics of the myriad objects we interact with are organized in memory. Using a custom-built three-dimensional robotic interface that allowed us to simulate objects of varying appearance and weight, we examined how participants learned the weights of sets of objects that they repeatedly lifted. We find strong support for the novel hypothesis that motor memories of object dynamics are organized categorically, in terms of families, based on covariation in their visual and mechanical properties. A striking prediction of this hypothesis, supported by our findings and not predicted by standard associative map models, is that outlier objects with weights that deviate from the family-predicted weight will never be learned despite causing repeated lifting errors.