Lateral specialization in unilateral spatial neglect: a cognitive robotics model
Lateral specialization in unilateral spatial neglect: a cognitive robotics model
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DOI：
10.1007/s10339-016-0761-x
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发表时间：
2016-08-01
影响因子：
1.7
通讯作者：
Di Nuovo, Alessandro
中科院分区：
文献类型：
--
作者：
Conti, Daniela;Di Nuovo, Santo;Di Nuovo, Alessandro
在本文中，我们介绍了一种具体化的认知机器人方法的实验结果，该方法用于模拟人类的认知缺陷，即单边空间忽视(USN)。为此，我们介绍了一种设计和训练的人工神经网络体系结构，用于控制iCub机器人平台的空间注意焦点。就像人类的大脑一样，这个建筑被分为两个半球，它包含了生物启发的可塑性机制，这使得右脑对空间注意力的专门化现象得以发展。在这项研究中，我们通过复制之前对受USN影响的人类患者进行的实验来验证该模型，数值结果显示，该机器人模仿了以前人类表现出的行为。我们还模拟了损伤后的恢复，以比较两个半球的性能，作为对模型的额外验证。最后，我们强调了通过机器人平台来模拟人脑认知功能障碍的一些可能的优势，这可以补充传统的方法来研究人类的空间障碍。
In this paper, we present the experimental results of an embodied cognitive robotic approach for modelling the human cognitive deficit known as unilateral spatial neglect (USN). To this end, we introduce an artificial neural network architecture designed and trained to control the spatial attentional focus of the iCub robotic platform. Like the human brain, the architecture is divided into two hemispheres and it incorporates bio-inspired plasticity mechanisms, which allow the development of the phenomenon of the specialization of the right hemisphere for spatial attention. In this study, we validate the model by replicating a previous experiment with human patients affected by the USN and numerical results show that the robot mimics the behaviours previously exhibited by humans. We also simulated recovery after the damage to compare the performance of each of the two hemispheres as additional validation of the model. Finally, we highlight some possible advantages of modelling cognitive dysfunctions of the human brain by means of robotic platforms, which can supplement traditional approaches for studying spatial impairments in humans.