This paper introduces a functional MRI (fMRI) method to estimate the neuronal population receptive field (pRF) in human visual cortex. The method builds on conventional visual field mapping techniques but extends them to estimate the pRF, which is a more comprehensive measure of neuronal response properties. The pRF is estimated by modeling the fMRI response to a wide range of stimuli, including rings, wedges, and moving bars, and fitting these models to the fMRI time series. The visual field maps derived from this method are more accurate than those obtained using conventional methods, and the pRF size estimates in medial, lateral, and ventral occipital regions of the visual cortex are reported. The pRF size increases systematically from V1 to V3, and the pRF is lateralized in V1–V3 but not in LO and VO. The method is non-invasive and can be applied to various conditions to link fMRI signals in visual pathways to neuronal receptive fields. The pRF estimates are compared with electrophysiological and conventional fMRI estimates, showing good agreement. The paper also discusses the influence of nuisance factors and future extensions of the method.This paper introduces a functional MRI (fMRI) method to estimate the neuronal population receptive field (pRF) in human visual cortex. The method builds on conventional visual field mapping techniques but extends them to estimate the pRF, which is a more comprehensive measure of neuronal response properties. The pRF is estimated by modeling the fMRI response to a wide range of stimuli, including rings, wedges, and moving bars, and fitting these models to the fMRI time series. The visual field maps derived from this method are more accurate than those obtained using conventional methods, and the pRF size estimates in medial, lateral, and ventral occipital regions of the visual cortex are reported. The pRF size increases systematically from V1 to V3, and the pRF is lateralized in V1–V3 but not in LO and VO. The method is non-invasive and can be applied to various conditions to link fMRI signals in visual pathways to neuronal receptive fields. The pRF estimates are compared with electrophysiological and conventional fMRI estimates, showing good agreement. The paper also discusses the influence of nuisance factors and future extensions of the method.