Before revision:  The final experiments combine GSP with a state-of-the-art image synthesis network (StyleGAN) and a recent network interpretability technique (GANSpace), enabling GSP to efficiently explore high-dimensional perceptual spaces , and demonstrating how GSP can be a powerful tool for jointly characterizing semantic representations in humans and machines .
After revision:  The final experiments combine GSP with a state-of-the-art image synthesis network (StyleGAN) and a recent network interpretability technique (GANSpace), enabling GSP to efficiently explore high-dimensional perceptual spaces . We conclude by discussing future cognitive applications and ethical implications .