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Characterizing visual cortical magnification with topological smoothing and optimal transportation
Human vision has different concentration on visual fields.
Reconstructing Retinal Visual Images from 3T fMRI Data Enhanced by Unsupervised Learning
The reconstruction of human visual inputs from brain activity, particularly through functional Magnetic Resonance Imaging (fMRI), holds promising avenues for unraveling the mechanisms of the human visual system.
Topological Receptive Field Model for Human Retinotopic Mapping
Here we propose a topological receptive field (tRF) model which imposes the topological condition when decoding retinotopic fMRI signals.
Optimizing Visual Cortex Parameterization with Error-Tolerant Teichmuller Map in Retinotopic Mapping
Although we focus on retinotopic mapping, the proposed framework is general and can be applied to process other human sensory maps.
