Figure 1.

(A) The model of the observer from signal detection theory (SDT) maps to (B) the distributions of patterns of neural activity as reconstructed using neural decoding. (C) From this connection it is predicted that RT will negatively correlate with distance from a decision boundary through activation space. (D) The model of the observer from SDT, and the distributed patterns of neural activity, can also be linked to the evidence accumulation process. (E) Thus another prediction from the hypothesis is that distances from a decision boundary in activation space reflects the mean accumulation rate, and hence RT should correlate with accumulation rates determined by representational distance.