Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Population receptive field estimates in human visual cortex.

Serge O Dumoulin1, Brian A Wandell

  • 1Psychology, Stanford University, Stanford, CA 94305, USA. serge.dumoulin@stanford.edu

Neuroimage
|November 3, 2007
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

An image-computable spatio-chromatic receptive field model of the midget retinal ganglion cell mosaic across the retina.

Journal of computational neuroscience·2026
Same author

Neural Tuning for Ordinal Processing: Convergent Patterns in Human Brains and Artificial Networks.

The Journal of neuroscience : the official journal of the Society for Neuroscience·2026
Same author

Modeling spectroradiometric measurements of oral mucosal tissue autofluorescence.

Biomedical optics express·2026
Same author

Numerosity adaptation suppresses early visual responses.

Communications biology·2025
Same author

Psilocybin alters visual contextual computations.

Nature communications·2025
Same author

The precision of attention controls attraction of population receptive fields.

Journal of vision·2025
Same journal

Investigating the Neural Origins of Ear-EEG: A Correlation Study Using Scalp EEG Source Reconstruction.

NeuroImage·2026
Same journal

Hysteresis effects in visual and auditory perception and the comparison of underlying neural mechanisms - an EEG study.

NeuroImage·2026
Same journal

Short-term audio-tactile training affects cortical auditory speech-envelope tracking for incongruent but not congruent stimuli.

NeuroImage·2026
Same journal

Dissociable Neurocognitive Mechanisms of State and Trait Anxiety in Working Memory: Threat-Induced Alterations in Decision Dynamics and Attenuation of Large-Scale Network Reconfiguration.

NeuroImage·2026
Same journal

Neuro-Ocular Amyloid Characterization in Alzheimer's Disease via Cross-Site PET-MRI and Hierarchical Cross-Attention Driven Multimodal Representation Learning.

NeuroImage·2026
Same journal

Whole-brain network dynamics underlying intolerance of uncertainty.

NeuroImage·2026
See all related articles

We developed a new functional MRI (fMRI) method to precisely map neuronal population receptive fields (pRFs) in the human visual cortex. This advanced technique offers more accurate visual field maps and insights into receptive field properties than conventional methods.

Area of Science:

  • Neuroscience
  • Neuroimaging
  • Visual Neuroscience

Background:

  • Conventional visual field mapping uses limited stimuli to estimate visual responses.
  • Existing methods provide less precise visual field maps and limited information on neuronal population properties.

Purpose of the Study:

  • To introduce and validate a novel functional MRI (fMRI) method for estimating neuronal population receptive fields (pRFs).
  • To enhance the accuracy of visual field mapping and characterize pRF properties like size and laterality.

Main Methods:

  • Utilized fMRI to record brain activity in response to diverse visual stimuli.
  • Developed a computational model to compute pRFs from fMRI responses.
  • Estimated visual field maps, pRF size, and interhemispheric input.

Related Experiment Videos

Main Results:

  • Achieved more accurate visual field maps compared to conventional methods, precisely locating the foveal representation.
  • Quantitatively estimated pRF size in human occipital cortex (V1-V3) and contralateral/ipsilateral visual field input.
  • Demonstrated strong agreement between human fMRI-derived pRF size estimates and electrophysiological data from monkey and human studies.

Conclusions:

  • The novel pRF method provides non-invasive, precise mapping of neuronal receptive fields in the human visual system.
  • This technique advances our ability to link fMRI signals to neuronal receptive field characteristics across various research conditions.