Format

Send to

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

Computational neuroimaging and population receptive fields.

Author information

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.

PMID:
25850730
PMCID:
PMC4484758
DOI:
10.1016/j.tics.2015.03.009
[Indexed for MEDLINE]
Free PMC Article

Supplemental Content

Full text links

Icon for Elsevier Science Icon for PubMed Central
Loading ...
Support Center