Computational neuroimaging and population receptive fields

Trends Cogn Sci. 2015 Jun;19(6):349-57. doi: 10.1016/j.tics.2015.03.009. Epub 2015 Apr 4.


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.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, U.S. Gov't, Non-P.H.S.
  • Review

MeSH terms

  • Computer Simulation*
  • Humans
  • Magnetic Resonance Imaging*
  • Models, Neurological*
  • Neurons / physiology*
  • Visual Cortex / physiology*
  • Visual Cortex / physiopathology
  • Visual Perception / physiology*