Fig. 3.

RDE in a network of passive integrator neurons. In the naı̄ve network (left column), monocular stimulation of either the left (LE, stimulation of units 1–20) or right eye (RE, stimulation of units 21–40) elicits a brief period of activity (V, with values indicated by colorbar) that decays rapidly after the end of stimulation (green bar). There is no activity at the time of reward (cyan lines) for either input pattern. In the trained network (right column), stimulus-evoked activity decays with a time constant associated with the appropriate reward time. Plotting V (normalized, Insets) for example neurons (unit number 5 for LE, 25 for RE) in naı̄ve (blue) and trained networks (red) shows that training increases the effective decay time constant.