“The fact that many different ANNs [artificial neural networks] exhibit representations similar to the brain raises an intriguing possibility: that ANNs and brains are converging onto universal representational axes in the relevant domain,” the authors write. “Together, our findings provide evidence for representation universality among ANNs, and between artificial and biological networks, despite the stark differences in the underlying architecture, learning algorithms, and resource constraints.”