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Intention understanding over T: a neuroimaging study on shared representations and tennis return predictions

机译:对T的意图理解:关于共享表示和网球回归预测的神经影像研究

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摘要

Studying the way athletes predict actions of their peers during fast-ball sports, such as a tennis, has proved to be a valuable tool for increasing our knowledge of intention understanding. The working model in this area is that the anticipatory representations of others' behaviors require internal predictive models of actions formed from pre-established and shared representations between the observer and the actor. This model also predicts that observers would not be able to read accurately the intentions of a competitor if the competitor were to perform the action without prior knowledge of their intention until moments before the action. To test this hypothesis, we recorded brain activity from 25 male tennis players while they performed a novel behavioral tennis intention inference task, which included two conditions: (i) one condition in which they viewed video clips of a tennis athlete who knew in advance where he was about to act/serve (initially intended serves) and (ii) one condition in which they viewed video clips of that same athlete when he did not know where he was to act/serve until the target was specified after he had tossed the ball into the air to complete his serve (non-initially intended serves). Our results demonstrated that (i) tennis expertise is related to the accuracy in predicting where another server intends to serve when that server knows where he intends to serve before (but not after) he tosses the ball in the air; and (ii) accurate predictions are characterized by the recruitment of both cortical areas within the human mirror neuron system (that is known to be involved in higher-order (top-down) processes of embodied cognition and shared representation) and subcortical areas within brain regions involved in procedural memory (caudate nucleus). Interestingly, inaccurate predictions instead recruit areas known to be involved in low-level (bottom-up) computational processes associated with the sense of agency and self-other distinction.
机译:研究运动员预测诸如网球之类的快球运动中同伴的动作的方式,是增加我们对意图理解知识的宝贵工具。该领域的工作模型是,他人行为的预期表示需要内部的行为预测模型,这些模型是由观察者和演员之间预先建立和共享的表示所形成的。该模型还预测,如果比赛者要在没有动作意图的先验知识的情况下进行比赛,观察者将无法准确地阅读比赛者的意图。为了检验这一假设,我们记录了25位男性网球运动员在执行一项新颖的行为网球意图推断任务时的大脑活动,其中包括两个条件:(i)他们观看事先知道网球运动员在哪里的视频剪辑的一种条件他将要表演/发球(最初是发球),并且(ii)一种情况,即当他不知道要去哪里表演/发球,直到他将目标扔掉之后指定了目标时,他们才观看同一位运动员的视频剪辑。球飞向空中以完成发球(非最初发球)。我们的结果表明:(i)网球专业知识与预测另一个服务器打算在何处服务的准确性有关,前提是该服务器在将球扔向空中之前(但不是之后)知道他打算服务的地方; (ii)准确的预测的特征在于,人体镜面神经元系统内的皮质区域(已知参与体现认知和共享表示的高阶(自上而下)过程)和大脑皮层下区域的募集涉及过程记忆的区域(尾状核)。有趣的是,不准确的预测取而代之地是招募了一些已知的领域,这些领域涉及与代理意识和自我-其他差异相关的低级(自下而上)计算过程。

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