A Scaling Laws
–Neural Information Processing Systems
While results presented in the main text of the paper show scaling by averaging across cortex, we can also examine scaling on a per-voxel basis. Model size increases in semantic models seem to be most beneficial for predicting amodal, post-auditory cognitive areas such as prefrontal cortex. Figure B.1: Performance of audio encoding models, averaged across all voxels in auditory cortex. Figure B.2: Performance of HuBERT models, averaged across voxels in cortex. Figure D.1: Long Context Artifact - An example of a long context artifact effect as measured on an Figure E.2: Histogram showing the slopes of voxelwise scaling laws for two OPT model sizes, shown Flatmaps presented in the main text only used one subject, S3 .
Neural Information Processing Systems
Nov-15-2025, 16:41:45 GMT