Neurotransmission operates on a millisecond timescale, but is changed by normal experience or neuropathology over days, weeks or even months. Despite the great importance of long-term neurotransmitter dynamics, no technique exists to track these changes within a subject from day to day over extended periods of time. Here we describe and characterize a microsensor that can detect the neurotransmitter dopamine with subsecond temporal resolution over months in vivo in rats and mice.

Reward-predicting cues evoke activity in midbrain dopamine neurons that encodes fundamental attributes of economic value including reward magnitude, delay and uncertainty. Here, we demonstrate that dopamine release in rat nucleus accumbens encodes anticipated benefits but not effort-based response costs unless they are atypically low. This neural separation of costs and benefits indicates that mesolimbic dopamine scales with the value of pending rewards but does not encode the net utility of the action to obtain them.

Phasic dopamine transmission is posited to act as a critical teaching signal that updates the stored (or "cached") values assigned to reward-predictive stimuli and actions. It is widely hypothesized that these cached values determine the selection among multiple courses of action, a premise that has provided a foundation for contemporary theories of decision making. In the current work we used fast-scan cyclic voltammetry to probe dopamine-associated cached values from cue-evoked dopamine release in the nucleus accumbens of rats performing cost-benefit decision-making paradigms to evaluate critically the relationship between dopamineassociated cached values and preferences. By manipulating the amount of effort required to obtain rewards of different sizes, we were able to bias rats toward preferring an option yielding a high-value reward in some sessions and toward instead preferring an option yielding a low-value reward in others. Therefore, this approach permitted the investigation of dopamine-associated cached values in a context in which reward magnitude and subjective preference were dissociated. We observed greater cueevoked mesolimbic dopamine release to options yielding the high-value reward even when rats preferred the option yielding the low-value reward. This result identifies a clear mismatch between the ordinal utility of the available options and the rank ordering of their cached values, thereby providing robust evidence that dopamine-associated cached values cannot be the sole determinant of choices in simple economic decision making.decision making | action selection | cached values | dopamine I n contemporary theories of economic decision making, values are assigned to reward-predictive states in which animals can take action to obtain rewards, and these state-action values are stored ("cached") for the purpose of guiding future choices based upon their rank order (1-5). It is believed that these cached values are represented as synaptic weights within corticostriatal circuitry, reflected in the activity of subpopulations of striatal projection neurons (6-9), and are updated by dopaminedependent synaptic plasticity (10-12). Indeed, a wealth of evidence suggests that the phasic activity of dopamine neurons reports instances in which current reward or expectation of future reward differs from current expectations (13-24). This pattern of activity resembles the prediction-error term from temporal-difference reinforcement-learning algorithms, which is considered the critical teaching signal for updating cached values. A notable feature of models that integrate dopamine transmission into this computational framework is that the cached value of an action is explicitly read out by the phasic dopamine response to the unexpected presentation of a cue that designates the transition into a state in which that action yields reward. Therefore, cue-evoked dopamine signaling provides a neural representation of the cached values of available actions, and if these cached values serve as the basis for action sele...