We collected ~4.7 hours of task data on 3 participants, listening to 10 different categories to create a functional gradient space in which we could situate category structure, and infer acoustic and semantic dimensions.

Oh also, the data is open access! 👉 openneuro.org/datasets/ds0...

More recent by Levi: Generalised-Hilbert Mamba for Super-resolution (GAMBAS), still for paediatric ultra-low-field MRI: arxiv.org/abs/2504.04523 | The updated multi-input GAMBAS+ recently won 1st place at the MICCAI ULF Enhancement Challenge: www.synapse.org/Synapse:syn6... (paper online soon) [4/n]