Abstract
This thesis describes a psychophysical investigation of the human visual system's ability to integrate motion signals across visual space, without the confounding influence of area-dependent variations of noise. It shows that integration of motion signals is more spatially extensive than conventional estimates, for both minimally visible and highly visible stimuli. Older participants (62-76 years old) yield different outcomes, integrating over larger areas when processing smaller stimuli, potentially compensating for increased neural noise in the older system. Overall, these results help model how human vision can piece together small, local, motion signals to derive perception of large moving objects and surfaces.
Original language | English |
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Qualification | Doctor of Philosophy |
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Award date | 13 Jul 2018 |
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Publication status | Unpublished - 2018 |