Fig. 5: Modeling example.

An example of the posterior probability of the information-transfer model, predicting the decoding accuracy of action in Where blocks of array 1 (c, g), array 2 (d, h), array 3 (e, i), and array 4 (f, j) in the left hemisphere with input from all eight arrays. a The predictions of array L4 from the Full model and the drop-L/R3 Partial model. b The difference between the Full model and the drop-L/R3 Partial model. Inset: the colored line connects the dropped input array (indicated by the color of the line) and the output array. Here, array 3 as an input array, and array 4 as the output array. c–f The posterior probability of the raw value, the Full model, and the Partial models with the average effect of the arrays at the corresponding locations in the left and right hemispheres. g–j The difference of posterior probability between the Partial models and the Full model. Inset: the colored lines connect the dropped input (indicated by the lines’ color) and the output array.