We find this scale-free format throughout visual cortex, from V1 to V4 and beyond. We also find that the underlying dimensions are *shared* across individuals—suggesting that this high-dimensional structure reflects the fundamental format of the representational code.

Dimensionality reduction may be the wrong approach to understanding neural representations. Our new paper shows that across human visual cortex, dimensionality is unbounded and scales with dataset size—we show this across nearly four orders of magnitude. journals.plos.org/ploscompbiol...