Reward predictability shapes decision making states and exploitative control in marmosets

Animals navigating dynamic environments must transition between behavioral states dominated by exploitation of known rewards or exploration of alternatives. Understanding this flexibility requires characterizing not only choices and outcomes but also how reward information updates strategy. Common marmosets offer a unique combination of genetic tractability and frontal cortical complexity, yet scalable behavioral platforms for studying flexible decision making in this species remain limited. Here, we developed an automated home-cage touchscreen platform that enables voluntary behavioral testing across extended periods without water restriction. We trained marmosets on a series of reversal le