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Ganel, T.

Publications and source records attributed to Ganel, T..

2 recordsLinked to original sources

Preserved perception-action dissociation but altered visuomotor behaviours in healthy aging.

The two visual pathways hypothesis posits distinct brain systems for vision-for-perception and vision-for-action. While this dissociation is well-established in younger adults, its integrity in healthy aging remains unclear. To address this, younger (n = 25, range: 18-25 years) and older adults (n = 25, range: 65-95 years) completed estimation and grasping tasks in two experiments. In Experiment 1, two rectangular objects with varying lengths (40 mm and 42 mm) were placed on the "far" and "close" surfaces of a Ponzo illusion. Despite age-related changes in grasping kinematics, the perception-action dissociation persisted. The Ponzo illusion influenced estimation such that objects placed on the "far" surface were perceived as longer. In contrast, grasping was not affected by the illusion, and even showed effect in the opposite direction, with larger apertures for objects placed on the "close" surface of the illusion. Experiment 2 tested whether this reversed effect was mediated by the surface size on which the object was placed, rather than perceived distance. To this end, we removed the illusory distance cues and varied only the background surface size ("big" versus "small"). While perceptual estimations were unaffected, surface size modulated grasping in both age groups, with a stronger effect in older adults. These findings indicate that the perception-action dissociation is preserved in aging, but older adults rely more on contextual cues during action, potentially reflecting compensatory mechanisms to maintain visuomotor performance.

neuroscience↗

Separating error from bias: A new framework for facial age estimation in humans and AIs

Apparent facial age plays an important role in social interactions, serving a meaningful marker of biological aging. Although both humans and AIs achieve reasonable accuracy in estimating age from a persons face, performance remains imprecise, leaving substantial room for errors and biases. Drawing on principles from classical psychophysics, we demonstrate that the existing literature on age estimation suffers from a critical theoretical and methodological shortcoming, which casts doubt on established findings. We show that the conventional measure used to benchmark the accuracy of human and AI performance is fundamentally confounded by response bias. Consequently, we introduce a novel measure that eliminates this confound. A revised framework based on simulated data, reanalysis of existing data, and new experimental results, reveals fresh insights into how facial age is processed by humans and AIs. Our structure opens up new directions for future research and applications in the study of aging.

neuroscience↗