How aging reshapes sensorimotor learning: Older adults may lose explicit strategy but gain implicit adaptation

When Jonathan S. Tsay and his colleagues at UC Berkeley and Carnegie Mellon University reviewed decades of sensorimotor learning research, they found themselves staring at a puzzle: some studies said aging impairs motor learning, others reported little change, and a few even found improvements in older adults. That contradiction bothered them enough to investigate.

The question matters because motor control—the ability to coordinate movements and maintain balance—does tend to decline with age. But whether older adults can still learn and adapt their movements based on environmental feedback has remained surprisingly unclear. Previous research treated sensorimotor learning as a single process, which may have obscured what was actually happening.

Tsay's team took a systematic approach to resolve the inconsistency. They conducted a large meta-analysis spanning several decades of research and more than 2,300 participants, then designed new, well-powered experiments specifically to isolate two distinct types of learning that researchers have come to recognize as fundamentally different.

The distinction is crucial: implicit learning is the automatic, unconscious recalibration of movement—what happens when your nervous system silently adjusts without you thinking about it. Explicit learning, by contrast, involves deliberate strategies and conscious problem solving. When you deliberately aim away from a target to compensate for a distortion, that's explicit learning.

To study this, researchers typically ask participants to complete simple but revealing tasks: moving a mouse to click on objects while what they see on screen is subtly distorted, such as a cursor that's rotated away from their actual hand position. Over time, people learn to compensate. But the researchers realized that most previous studies had only measured overall performance, making it impossible to know which learning system participants were actually relying on.

When Tsay's team examined measures that could separately estimate overall adaptation versus implicit recalibration, a striking pattern emerged. Older adults tended to perform worse overall—but they showed stronger implicit recalibration. In other words, their automatic, unconscious learning system was working well. What declined with age was explicit strategy use: the conscious problem-solving and deliberate compensation strategies that younger people tend to employ.

This distinction explains the contradictory findings that plagued the field. Studies that measured only overall performance saw age-related decline because they were capturing the loss of explicit strategy. But studies that measured implicit learning alone might have seen stable or even improved performance in older adults, since their automatic learning remained relatively robust.

The findings, published in Nature Human Behaviour, reshape how researchers think about aging and motor learning. Rather than asking whether aging impairs learning broadly—a question that produced conflicting answers—the clearer question becomes: which mechanisms change with age, and which remain intact? For older adults, the research suggests that while conscious strategy-building may take more effort, the nervous system's ability to automatically adapt movements remains a reliable strength. Understanding these distinctions opens new avenues for helping older adults maintain and enhance their motor skills in everyday life.