null Alex Baldwin, PhD
vision • perception • psychophysics • modeling • spatial vision • visual information
My research focuses on the study of visual perception through human behavioural experiments and computer modelling. I create tasks using psychophysical methods. These test our ability to process visual information. I can then investigate the mechanism by which the brain performs this task. I do so by comparing the data against mathematical and computational models of visual processing. I develop these models based on findings from previous psychophysics, physiology, and neuroimaging studies. My research has provided new insights into how local features are "joined up" into continuous textures and edges. I am also interested in how this processing is affected by noise in the brain.
Integration of contours defined by second-order contrast-modulation of texture. Baldwin AS, Kenwood M, Hess RF (2020). Vision Res. 176:1-15. PMID: 32750557.
The mechanism of short-term monocular deprivation is not simple: separate effects on parallel and cross-oriented dichoptic masking. Baldwin AS, Hess RF (2018). Sci Rep. 18:8(1):6191. PMID: 29670145.
The equivalent internal orientation and position noise for contour integration. Baldwin AS, Fu M, Farivar R, Hess RF (2017) Sci Rep. 12:7(1):13048. PMID: 29026194.
Rejecting probability summation for radial frequency patterns, not so Quick! Baldwin AS, Schmidtmann G, Kingdom FAA, Hess RF (2016) Vision Res. 122:124-134. PMID: 26975501.
What do contrast threshold equivalent noise studies actually measure? Noise vs. nonlinearity in different masking paradigms. Baldwin AS, Baker DH, Hess RF (2016) PLoS One. 8:11(3):e0150942. PMID: 26953796.