Computational neuroimaging and population receptive fields

Brian A. Wandell, Jonathan Winawer

Research output: Contribution to journalArticle

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.

Original languageEnglish (US)
Pages (from-to)349-357
Number of pages9
JournalTrends in Cognitive Sciences
Volume19
Issue number6
DOIs
StatePublished - Jun 1 2015

Fingerprint

Visual Cortex
Neuroimaging
Magnetic Resonance Imaging
Human Activities
Population
Brain
Research

ASJC Scopus subject areas

  • Cognitive Neuroscience
  • Experimental and Cognitive Psychology
  • Neuropsychology and Physiological Psychology

Cite this

Computational neuroimaging and population receptive fields. / Wandell, Brian A.; Winawer, Jonathan.

In: Trends in Cognitive Sciences, Vol. 19, No. 6, 01.06.2015, p. 349-357.

Research output: Contribution to journalArticle

Wandell, Brian A. ; Winawer, Jonathan. / Computational neuroimaging and population receptive fields. In: Trends in Cognitive Sciences. 2015 ; Vol. 19, No. 6. pp. 349-357.
@article{1ff25c7c871346d19e1afb11b5e09b10,
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.",
author = "Wandell, {Brian A.} and Jonathan Winawer",
year = "2015",
month = "6",
day = "1",
doi = "10.1016/j.tics.2015.03.009",
language = "English (US)",
volume = "19",
pages = "349--357",
journal = "Trends in Cognitive Sciences",
issn = "1364-6613",
publisher = "Elsevier Limited",
number = "6",

}

TY - JOUR

T1 - Computational neuroimaging and population receptive fields

AU - Wandell, Brian A.

AU - Winawer, Jonathan

PY - 2015/6/1

Y1 - 2015/6/1

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=84931574081&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84931574081&partnerID=8YFLogxK

U2 - 10.1016/j.tics.2015.03.009

DO - 10.1016/j.tics.2015.03.009

M3 - Article

VL - 19

SP - 349

EP - 357

JO - Trends in Cognitive Sciences

JF - Trends in Cognitive Sciences

SN - 1364-6613

IS - 6

ER -