Using neural distance to predict reaction time for categorizing the animacy, shape, and abstract properties of objects.

Sci Rep · 2019 · PMC6744425 · PMID 31519992

Europe PMC DOI

hedged sentences

0.0010

closest p · 0.0× alpha

0.0600

boldest claim

The sentences

highly significantp < 0.001actually significant

The difference between the mean correlations for the two categories was also highly significant (t(14) = −5.40, p < 0.001).

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borderline significantp = 0.06so close (0.05 < p ≤ 0.1)

In LOC there was a robust RT-distance correlation for the animate images (mean r = −0.58, t(14) = −13.02, p < 0.001), but only a borderline significant effect for the inanimate images (mean r = −0.12, t(14) = −2.08, p = 0.06).

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