| Saccade/antisaccade task | To gain a deeper understanding of the representation in the association layer that supports the nonlinear mapping from the sensory units to the Q-value units, we performed a principal component analysis (PCA) on the activations of the association units. |
| Saccade/antisaccade task | 2E shows the projection of the activation vectors onto the first two principal components for an example network. |
| Saccade/antisaccade task | The color of the fixation point and the cue location provide information about the correct action and lead to a ‘split’ in the 2D principal component (PC) space. |