Silva MF

ORCID iD
https://orcid.org/0000-0002-3270-7575
  • Also known as
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Silva MF,

Sources:
Silva MF (2018-01-17)

Maria Fátima Silva,

Sources:
Silva MF (2014-07-23)

Silva FL,

Sources:
Silva MF (2014-07-23)

Loureiro Silva MF,

Sources:
Silva MF (2014-07-23)

Loureiro MF

Sources:
Silva MF (2018-01-20)

  • Keywords
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Visual Perception,

Sources:
Silva MF (2014-05-16)

Psychophysics,

Sources:
Silva MF (2014-05-17)

Neuroimaging,

Sources:
Silva MF (2017-12-27)

Computational Modeling,

Sources:
Silva MF (2018-02-01)

Aging

Sources:
Silva MF (2018-02-07)

  • Other IDs
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Scopus Author ID: 55576301900

Sources:
Scopus - Elsevier (2014-05-16)

ResearcherID: A-2812-2017

Sources:
ResearcherID (2017-01-05)

Biography

I graduated from the University of Coimbra, Portugal, with a BSc in physics engineering (1995) and an MSc in technological physics (1999) with a research grant from EU-TMR Access to Large Scale Facilities Program. I worked as a research assistant at the University of Aveiro, Portugal, in collaboration with the High Pressure line of ESRF, CNRS, Grenoble. Here I became interested in applications of engineering to vision science. Therefore, in 2003 I began work as a research technician on an FCT fellowship at the Institute for Biomedical Imaging in Life Sciences (IBILI) in Coimbra’s Faculty of Medicine. Here I was awarded an FCT doctoral scholarship (2005) to develop new methodologies involving quantitative tools based on biophysics/biomathematics to study neurosensory function and connect basic and clinic visual research. In my doctoral work I showed for the first time the presence of two types of functional asymmetry in parallel visual processing pathways, one with a likely source on the eye, and the second reflecting also a cortical interhemispheric asymmetry. Suggesting that both cortical and retinal visual maps were functionally heterogeneous. Then, I moved to non-invasive neuroimaging (fMRI) with population receptive field (pRF) computational modeling to address the neural correlates underlying these radial asymmetries in human early visual cortex. My area of expertise is in visual perception, in order to understand how biological sensors and cerebral regions encode information regarding visual properties and investigation of visual function according to different technical approaches, such as neuroimaging and psychophysics computerized evaluation.
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