Contents of Visual Predictions Oscillate at Alpha Frequencies

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Figure 4.
Figure 4.

Oscillatory power of predicted shape representations modulates behavioral accuracy. A, A representative participant's scatterplot of shape-specific alpha power as a function of valid versus incorrect prediction trials. We expected to observe an opposite trend between valid and invalid prediction trials, meaning for correct responses higher overall shape-specific alpha power for valid trials versus incorrect valid trials, whereas higher power was expected for incorrect invalid trials versus correct invalid trials. For all participants' scatterplots, see Figure S5. B, Left, Parameter estimates (i.e., betas) of the logistic regression between the power of pre-stimulus decoding alpha (−500 to 0 ms), averaged over 8–12 Hz frequency bins, and discrimination performance, separately for valid and invalid prediction trials (*p < 0.05). B, Right, Parameter estimates (i.e., betas) of the logistic regression between the power of pre-stimulus raw alpha (−500 to 0 ms), averaged over 8–12 Hz frequency bins, and discrimination performance, separately for valid and invalid prediction. No significant difference between. Dots represent individual participants; error bars indicate within-participant SEM (Cousineau, 2005; Morey, 2008).

  1. The Journal of Neuroscience vol. 45 no. 49
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