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Pisu, V.

Publications and source records attributed to Pisu, V..

2 recordsLinked to original sources

Disentangling visual and motor contributions to continuous psychophysics

Continuous psychophysics measures visual function by asking observers to track a randomly moving target. Because continuous responses provide more information than traditional discrete judgements, a few minutes of tracking can estimate visual sensitivity, making the approach attractive for testing children and patients. Tracking performance is often summarized by cross-correlating the target and cursor velocities: the resulting cross-correlogram peak, lag and width index how strongly, quickly and sharply the observer responds to the target. Tracking, however, requires both seeing the target and moving the cursor towards it, so poor tracking may reflect impaired vision, impaired motor control, or both. Here, we test whether visual and motor contributions to tracking performance can be told apart. Participants tracked a target with a computer mouse while wearing glasses that simulate two levels of visual impairment, using either their dominant or their non-dominant hand. We find that both manipulations alter the cross-correlogram metrics, lowering the peak correlation and delaying and broadening the response, but in different proportions. Visual impairment mainly delays and broadens the response, and does so in proportion to each participant's loss of visual acuity. The non-dominant hand mainly lowers the peak correlation. Two signatures of motor control explain this difference: with the non-dominant hand, participants pause more often and for longer, and move more noisily between pauses, whereas visual impairment alters neither. Together, response lag, time paused and movement noise reveal whether a change in tracking is visual or motor in almost every participant. Our findings demonstrate that, given a baseline measurement, the same tracking data that measure vision can also reveal whether a change in performance reflects a change in what an individual sees or in how they move.

neuroscience↗

The size-weight illusion and beyond: a new model of perceived weight

In the size-weight illusion (SWI), the smaller of two same-weight, same apparent material objects is perceived as heavier. The SWI has proved difficult to explain via traditional Bayesian models, which predict the opposite effect: expected weight from size (smaller = lighter) should be integrated with felt weight, such that the smaller object should be perceptually lighter. Other authors have proposed that weight and density are combined according to Bayesian principles, or that Bayesian models incorporating efficient coding can predict the SWI via likelihood repulsion. These models, however, have been evaluated only under the narrow conditions of typical SWI stimuli. Here we establish a general model of perceived weight for pairs of objects that differ in weight and / or density and / or size by varying amounts. In a visuo-haptic task, participants (N = 30) grasped and lifted pairs of cubes, and reported their perceived heaviness. We report that the SWI occurs even at very small density differences, repudiating the idea that the illusion requires a large difference between expected and felt weight. Across all object pairs, perceived weight was well described by a model (R2 = .98) that includes a positive influence of both objects weights and the judged objects density, but a negative influence of the other objects density. Critically, the influence of both densities on perceived weight is strongly modulated by weight difference, being three times as large for zero / small weight differences than for large differences. Thus, it is only under the unusual conditions of typical SWI studies that density affects perceived weight to a substantial extent. Unlike existing models, that are inconsistent with our more comprehensive dataset, our descriptive model provides a quantitative, accurate and generalised account of weight perception for pairs of objects across various weight and size conditions. Author summaryKnowing how heavy an object is allows us to grasp and lift it efficiently and without mishaps. Surprisingly, humans make systematic errors when judging the weight of objects of different size. For example, when two objects differ in size but have identical weight, the smaller object feels heavier. This is the size-weight illusion. The illusion is strong and reliable and occurs even when we know that the two objects actually have the same weight. The size-weight illusion demonstrates that the human perceptual system doesnt work like a weighing scales, but instead takes into account other object features such as size or density, alongside weight. In this paper, we present a model that allows us to predict perceived weight in the size-weight illusion and across a wide range of objects of different weight / size / density, where previous models have failed.

neuroscience↗