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This work demonstrates how generalization ability can be integrated into a neural network model of mental rotation. The model was validated with a physical humanoid robot, the iCub, as simulated participants. The results confirm that the proposed model is capable of solving a mental rotation task consisting of a number of unseen stimuli. Furthermore, characteristic of response time profiles and error...
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