Skip to main content
Advertisement

< Back to Article

Searching through functional space reveals distributed visual, auditory, and semantic coding in the human brain

Fig 3

Raw accuracy and percent improvement for all analyses.

(A) Average performance in the top 1% of functional and anatomical searchlights for neural network similarity, annotation vector decoding, and localizer category decoding. White bar is the functional searchlight performance, black bar is the anatomical searchlight performance. Error bars represent standard error across subjects. Chance (red lines) was computed in the neural network similarity and annotation vector decoding analysis as the mean of a null distribution estimated non-parametrically by rolling data in time, and in image classification as the theoretical chance level (1/6 categories). (B) Percent improvement of functional over anatomical searchlight in the top 1% of searchlights for neural network similarity (all layers), annotation vector decoding, and localizer category decoding. To calculate percent improvement, we first subtracted the chance level from the performance of each searchlight type. Error bars represent 95% CIs.

Fig 3

doi: https://doi.org/10.1371/journal.pcbi.1008457.g003