Figure 6.

Neural replay in construction inference

(A) We found peak decoding accuracy for building blocks in the localizer at 200 ms (left and middle) and high-class identifiability for the different building blocks for the classifiers trained at 200 ms (right).

(B) In every silhouette, one building block was stable across silhouettes, two additional building blocks were present, and one building block was absent. This allowed us to define different types of sequences to (green) and from (red) the stable building block as well as between the present (purple) and absent (cyan) building blocks.

(C) We investigated effects of neural replay for sequences starting either from the stable or the present building blocks. We found a short (non-significant) predominance of sequences starting from the stable building block for very early lags, followed by a predominance of sequences starting from the present building blocks at later lags with pronounced peaks at 60 and 170 ms.

Shaded colored areas reflect standard errors.

See also Figure S4.