Dopamine transients in distinct striatal subregions reflect different reward time horizons. The study shows that dopamine dynamics in the ventral striatum (VS) slow down compared to the dorsolateral (DLS) and dorsomedial (DMS) striatum, indicating a gradient of temporal discounting. This gradient allows for efficient learning and adaptive behavior across various timescales, from seconds to hours. The research demonstrates that different striatal subregions process reward information with distinct timescales, which is crucial for decision-making and learning. The findings suggest that the striatum's subregions have specialized roles in evaluating rewards, with the VS being involved in longer-term planning and the DLS in immediate responses. The study also highlights the importance of these temporal differences in maintaining motivation and avoiding impulsive choices. The results provide insights into how the brain processes reward information across different timescales, contributing to our understanding of decision-making and learning mechanisms.Dopamine transients in distinct striatal subregions reflect different reward time horizons. The study shows that dopamine dynamics in the ventral striatum (VS) slow down compared to the dorsolateral (DLS) and dorsomedial (DMS) striatum, indicating a gradient of temporal discounting. This gradient allows for efficient learning and adaptive behavior across various timescales, from seconds to hours. The research demonstrates that different striatal subregions process reward information with distinct timescales, which is crucial for decision-making and learning. The findings suggest that the striatum's subregions have specialized roles in evaluating rewards, with the VS being involved in longer-term planning and the DLS in immediate responses. The study also highlights the importance of these temporal differences in maintaining motivation and avoiding impulsive choices. The results provide insights into how the brain processes reward information across different timescales, contributing to our understanding of decision-making and learning mechanisms.