The headline of the referenced NewScientist article has little to do with the paper and the findings. It's just a way to represent music (not even shure if it's

The headline of the referenced NewScientist article has little to do with the paper and the findings. It's just a way to represent music (not even shure if it's new since I've seen such representations in the past). Finding appropriate representations is important to make progress with deep learning and DNNs to understand and generate music; today's approaches based on NLP and word embeddings are not able to properly represent music and its multidimensional complexities. But I don't assume that the model presented in the paper can represent this complexity, or the measured information is the most relevant one.