Previously it has been shown that the hippocampus and neocortex can spontaneously reactivate ensemble activity patterns during post-behavioral sleep and rest periods. Here we examined whether such reactivation also occurs in a subcortical structure, the ventral striatum, which receives a direct input from the hippocampal formation and has been implicated in guidance of consummatory and conditioned behaviors. During a reward-searching task on a T-maze, flanked by sleep and rest periods, parallel recordings were made from ventral striatal ensembles while EEG signals were derived from the hippocampus. Statistical measures indicated a significant amount of reactivation in the ventral striatum. In line with hippocampal data, reactivation was especially prominent during postbehavioral slow-wave sleep, but unlike the hippocampus, no decay in pattern recurrence was visible in the ventral striatum across the first 40 min of post-behavioral rest. We next studied the relationship between ensemble firing patterns in ventral striatum and hippocampal ripples-sharp waves, which have been implicated in pattern replay. Firing rates were significantly modulated in close temporal association with hippocampal ripples in 25% of the units, showing a marked transient enhancement in the average response profile. Strikingly, ripple-modulated neurons in ventral striatum showed a clear reactivation, whereas nonmodulated cells did not. These data suggest, first, the occurrence of pattern replay in a subcortical structure implied in the processing and prediction of reward and, second, a functional linkage between ventral striatal reactivation and a specific type of high-frequency population activity associated with hippocampal replay.

Summary The role that frontal-striatal circuits play in normal behavior remains unclear. Two of the leading hypotheses suggest that these circuits are important for action selection or reinforcement learning. To examine these hypotheses we carried out an experiment in which monkeys had to select actions in two different task conditions. In the first (random) condition actions were selected on the basis of perceptual inference. In the second (fixed) condition the animals used reinforcement from previous trials to select actions. Examination of neural activity showed that the representation of the selected action was stronger in lateral prefrontal cortex (lPFC), and occurred earlier in the lPFC than it did in the dorsal striatum (dSTR). In contrast to this, the representation of action values, in both the random and fixed conditions was stronger in the dSTR. Thus, the dSTR contains an enriched representation of action value, but it followed frontal cortex in action selection.

Decisions are often driven by a combination of immediate perception and previous experience. In this study, we investigated how these two sources of information are integrated and the neural systems that mediate this process. Specifically, we injected a dopamine type 1 antagonist (D1A; SCH23390) or a dopamine type 2 antagonist (D2A; eticlopride) into the dorsal striatum while macaques performed a task in which their choices were driven by perceptual inference and/or reinforcement of past choices. We found that the D2A affected choices based on previous outcomes. However, there were no effects of the D2A on choices driven by perceptual inference. We found that the D1A did not affect perceptual inference or reinforcement learning. Finally, a Bayesian model applied to the results suggested that the D2A may be increasing noise in the striatal representation of value, perhaps by disrupting the striatal population that normally represents value.