Various approaches such as neurophysiology, neuro-anatomy, psychophysics, molecular biology, and neuro-imaging have been employed to evaluate visual functions in the brain. One of the neu ro-imaging techniques useful for evaluating brain activities is functional magnetic resonance im aging(fMRI), based on blood oxygen level-dependent contrast, which originates from changes in cerebral blood flow and volume and its oxygenation. The fMRI is a strong, non-invasive technique that enables us to use human participants. However, it measures indirect hemodynamic respons es and not direct neural responses. Additionally, it has limited temporal and spatial resolutions. Various analyses have been designed to infer neuronal activities from fMRI, including univariate analysis, adaptation methods, and multi-variate pattern analysis(or multi-voxel pattern analy sis). In this session, based on the speakerʼs experience, an outline of conventional fMRI and a newly devised analyses, using the selectivity of the single voxel, are presented.
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