title: Computational neuroimaging and population receptive fields.
abstract: Functional magnetic resonance imaging (fMRI) noninvasively measures human brain activity at millimeter resolution. Scientists use different approaches to take advantage of the remarkable opportunities presented by fMRI. Here, we describe progress using the computational neuroimaging approach in human visual cortex, which aims to build models that predict the neural responses from the stimulus and task. We focus on a particularly active area of research, the use of population receptive field (pRF) models to characterize human visual cortex responses to a range of stimuli, in a variety of tasks and different subject populations.
authors: Psychology Department and Neurosciences Institute, Stanford University, Stanford, CA, USA. Electronic address: wandell@stanford.edu.
authors: Brian A
authors: BA
authors: Wandell
authors: Psychology Department and Center for Neural Science, New York University, New York, NY, USA. Electronic address: winawer@nyu.edu.
authors: Jonathan
authors: J
authors: Winawer
mesh_terms: D003198:Computer Simulation; D006801:Humans; D008279:Magnetic Resonance Imaging; D008959:Models, Neurological; D009474:Neurons / Q000502:physiology*; D014793:Visual Cortex / Q000502:physiology* / Q000503:physiopathology; D014796:Visual Perception / Q000502:physiology*