Stanford Advisors

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  • Academic
    University - Scholar Department: Ophthalmology Position: Postdoctoral Scholar

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  • Mail Code: 5353

All Publications

  • Visuo-motor assessments of eye-brain diseases using infrared oculography Yu, M., Shariati, M., Liao, Y. ASSOC RESEARCH VISION OPHTHALMOLOGY INC. 2022

    View details for Web of Science ID 000844437001158

  • Optical Coherence Tomography Angiography Features of Optic Nerve Ischemia Pugazhendhi, S., Yu, M., Shariati, M., Zhou, X., Cheng, Y., Wang, R. K., Liao, Y. ASSOC RESEARCH VISION OPHTHALMOLOGY INC. 2022

    View details for Web of Science ID 000844401300135

  • Nonlinear transduction of emotional facial expression VISION RESEARCH Gray, K. H., Flack, T. R., Yu, M., Lygo, F. A., Baker, D. H. 2020; 170: 1-11

    Abstract

    To create neural representations of external stimuli, the brain performs a number of processing steps that transform its inputs. For fundamental attributes, such as stimulus contrast, this involves one or more nonlinearities that are believed to optimise the neural code to represent features of the natural environment. Here we ask if the same is also true of more complex stimulus dimensions, such as emotional facial expression. We report the results of three experiments combining morphed facial stimuli with electrophysiological and psychophysical methods to measure the function mapping emotional expression intensity to internal response. The results converge on a nonlinearity that accelerates over weak expressions, and then becomes shallower for stronger expressions, similar to the situation for lower level stimulus properties. We further demonstrate that the nonlinearity is not attributable to the morphing procedure used in stimulus generation.

    View details for DOI 10.1016/j.visres.2020.03.004

    View details for Web of Science ID 000525945600001

    View details for PubMedID 32217366

  • Internal noise estimates correlate with autistic traits AUTISM RESEARCH Vilidaite, G., Yu, M., Baker, D. H. 2017; 10 (8): 1384-1391

    Abstract

    Previous neuroimaging research has reported increased internal (neural) noise in sensory systems of autistic individuals. However, it is unclear if this difference has behavioural or perceptual consequences, as previous attempts at measuring internal noise in ASD psychophysically have been indirect. Here, we use a "gold standard" psychophysical double-pass paradigm to investigate the relationship between internal noise and autistic traits in the neurotypical population (n = 43). We measured internal noise in three tasks (contrast perception, facial expression intensity perception, and number summation) to estimate a global internal noise factor using principal components analysis. This global internal noise was positively correlated with autistic traits (rs  = 0.32, P = 0.035). This suggests that increased internal noise is associated with the ASD phenotype even in subclinical populations. The finding is discussed in relation to the neural and genetic basis of internal noise in ASD. Autism Res 2017, 10: 1384-1391. © 2017 International Society for Autism Research, Wiley Periodicals, Inc.

    View details for DOI 10.1002/aur.1781

    View details for Web of Science ID 000408236400007

    View details for PubMedID 28419785