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Fig. 10 | BMC Neuroscience

Fig. 10

From: A dimension reduction technique applied to regression on high dimension, low sample size neurophysiological data sets

Fig. 10

Scalograms of the regression results. Scalograms for the root mean squared regression coefficients for each component of the DWT, across the population, are shown for the proposed regression method (RoLDSIS), for the methods of regularized linear regression. The results for the physical (\(\Phi\)) and the psychophysical (\(\Psi\)) attributes are shown in the top and the bottom panels, respectively. Shades of gray represent the cumulative RMS (white for zero and black for the maximum value). Frequency bands of the DWT are the same as those in Fig. 4

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