Distributions of feature values in generalizing and non-generalizing features. (
<p><b>a)</b> Distributions of values for a feature which achieved significant classification accuracy across all datasets (f1, NL_BoxCorrDim_50_ac_5_minr13, related to the concept of a fractal dimension, with the greatest weighted average performance across datasets, 64%) against o...
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2025
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| 总结: | <p><b>a)</b> Distributions of values for a feature which achieved significant classification accuracy across all datasets (f1, NL_BoxCorrDim_50_ac_5_minr13, related to the concept of a fractal dimension, with the greatest weighted average performance across datasets, 64%) against one which achieved significant classification accuracy in the discovery flies, but not subsequently in all the evaluation flies (f2, SP_Summaries_fft_area_5_1, related to low-frequency power, with weighted average performance of 53%), both at Channel 1. Solid lines indicate discrimination thresholds obtained from the discovery flies. <b>(b</b>, <b>c)</b> Distributions for f1 and f2, grouped by individual flies. Open, bolded circles indicate median values for each fly. <b>(d)</b> Difference in autocorrelation features for each dataset (wake minus anesthesia or sleep, and averaged across flies, excluding 3 single-dosage evaluation flies, see Fig D of <a href="http://www.plosbiology.org/article/info:doi/10.1371/journal.pbio.3003217#pbio.3003217.s001" target="_blank">S1 Text</a>). Vertical dotted line indicates the greatest time-delay for which autocorrelation was evaluated (in the <i>hctsa</i> feature set). Shaded areas indicate standard error across flies for each dataset. <b>(e)</b> Example time series for the epochs with the 10 greatest feature values across all epochs and flies for f1, autocorrelation at 30 ms (AC_30), and f2 during wakefulness (red), and the 10 smallest feature values during anesthesia/sleep (blue).</p> |
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