Computational neuroimaging and population receptive fields

Brian A Wandell; Jonathan Winawer

doi:10.1016/j.tics.2015.03.009

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.

Authors

Brian A Wandell¹, Jonathan Winawer²

Affiliations

¹ Psychology Department and Neurosciences Institute, Stanford University, Stanford, CA, USA. Electronic address: wandell@stanford.edu.
² Psychology Department and Center for Neural Science, New York University, New York, NY, USA. Electronic address: winawer@nyu.edu.

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.

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*

Abstract

Publication types

MeSH terms

Grants and funding