Fig. 4: Performance of model variants with and without stimulus-driven theta oscillator on compressed speech. | Nature Communications

Fig. 4: Performance of model variants with and without stimulus-driven theta oscillator on compressed speech.

From: Combining predictive coding and neural oscillations enables online syllable recognition in natural speech

Fig. 4

The bar plots represent the mean values (n = 210 samples) for each three compression factors (x1 stands for natural speech) with error bars showing standard deviation. For compression factor 3, there is a statistically significant difference in performance between models with stimulus-driven (A dark blue, 25.84% ± 10.2) versus endogenous (B light blue, 24.1% ± 10.6) theta oscillations (1-tailed t-test, p = 0.0248, t-value = 1.97, degrees of freedom = 209, s.d. = 12.76).

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