Sparse high-dimensional decomposition of non-primary auditory cortical receptive fields
Fig 5
CortRF models of PEG neurons were more predictive of speech responses than STRF models.
Quantifying predictive performance by the cosine similarity between the predicted CIFs and observed spiking responses, CortRF models were compared to the STRF models over the same set of speech and TORC responses withheld from model estimation. The histograms of differences in TORC (blue) and Speech (red) response predictions are shown in the left panel. The empirical cumulative density function of these distributions is shown in the right panel. While no difference between the two was found in predicting TORC responses (p = 0.353, Wilcoxon signed rank test), a significant advantage in using the CortRF model to predict speech responses was observed (p = 0.018, Wilcoxon signed rank test).