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 Concept Videos

Frequency-dependent Selection01:21

Frequency-dependent Selection

23.1K
When the fitness of a trait is influenced by how common it is (i.e., its frequency) relative to different traits within a population, this is referred to as frequency-dependent selection. Frequency-dependent selection may occur between species or within a single species. This type of selection can either be positive—with more common phenotypes having higher fitness—or negative, with rarer phenotypes conferring increased fitness.
23.1K
Scaling01:26

Scaling

557
In designing and analyzing filters, resonant circuits, or circuit analysis at large, working with standard element values like 1 ohm, 1 henry, or 1 farad can be convenient before scaling these values to more realistic figures. This approach is widely utilized by not employing realistic element values in numerous examples and problems; it simplifies mastering circuit analysis through convenient component values. The complexity of calculations is thereby reduced, with the understanding that...
557
Properties of Fourier Transform II01:24

Properties of Fourier Transform II

742
The Fourier Transform (FT) is an essential mathematical tool in signal processing, transforming a time-domain signal into its frequency-domain representation. This transformation elucidates the relationship between time and frequency domains through several properties, each revealing unique aspects of signal behavior.
The Frequency Shifting property of Fourier Transforms highlights that a shift in the frequency domain corresponds to a phase shift in the time domain. Mathematically, if x(t) has...
742

You might also read

Related Articles

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

Sort by
Same author

EXPRESS: Multi-modal Magnetic Resonance Imaging to Assess Cerebrovascular Function in Patients with Atrial Fibrillation.

Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism·2026
Same author

Predicting functional topography of the human visual cortex from cortical anatomy at scale.

bioRxiv : the preprint server for biology·2025
Same author

Correction to: 'Perceiving object size in pictures involves high-level processing' (2025), by Altan <i>et al.</i>

Proceedings. Biological sciences·2025
Same author

The spoon illusion: A consistent rearward bias in human sound localisation.

Perception·2025
Same author

Correction: Spatial frequency adaptation modulates population receptive field sizes.

eLife·2025
Same author

Layer-specific changes in sensory cortex across the lifespan in mice and humans.

Nature neuroscience·2025
Same journal

Distinct involvements of the subthalamic nucleus subpopulations in reward-biased decision-making in monkeys.

eLife·2026
Same journal

Pink1-mediated mitophagy in the endothelium releases proteins encoded by mitochondrial DNA and activates neutrophil responses during inflammation.

eLife·2026
Same journal

Restraint of melanoma progression by cells in the local skin environment.

eLife·2026
Same journal

Brawn before bite in endemic Asian eutherian mammals after the end-Cretaceous extinction.

eLife·2026
Same journal

Experimental evolution to thermal stress indicates climate resilience in a cosmopolitan arthropod.

eLife·2026
Same journal

Correlates of protection against African swine fever virus identified by a systems immunology approach.

eLife·2026
See all related articles

Related Experiment Video

Updated: Jan 16, 2026

Topographical Estimation of Visual Population Receptive Fields by fMRI
06:02

Topographical Estimation of Visual Population Receptive Fields by fMRI

Published on: February 3, 2015

9.6K

Spatial frequency adaptation modulates population receptive field sizes.

Ecem Altan1, Catherine A Morgan2,3, Steven C Dakin1,4

  • 1School of Optometry and Vision Science, The University of Auckland, Auckland, New Zealand.

Elife
|September 26, 2025
PubMed
Summary
This summary is machine-generated.

Adapting to low or high spatial frequency (SF) changes the size of population receptive fields (pRFs) in the early visual cortex. This finding directly links neural spatial tuning to SF selectivity, impacting visual processing.

Keywords:
fMRIhumanneurosciencepRFspatial frequencyspatial visionvisual adaptation

More Related Videos

A Method to Study Adaptation to Left-Right Reversed Audition
07:14

A Method to Study Adaptation to Left-Right Reversed Audition

Published on: October 29, 2018

6.8K
Visualizing Visual Adaptation
04:43

Visualizing Visual Adaptation

Published on: April 24, 2017

9.6K

Related Experiment Videos

Last Updated: Jan 16, 2026

Topographical Estimation of Visual Population Receptive Fields by fMRI
06:02

Topographical Estimation of Visual Population Receptive Fields by fMRI

Published on: February 3, 2015

9.6K
A Method to Study Adaptation to Left-Right Reversed Audition
07:14

A Method to Study Adaptation to Left-Right Reversed Audition

Published on: October 29, 2018

6.8K
Visualizing Visual Adaptation
04:43

Visualizing Visual Adaptation

Published on: April 24, 2017

9.6K

Area of Science:

  • Neuroscience
  • Visual Perception
  • Computational Neuroscience

Background:

  • Neuronal spatial tuning in early visual cortex relates to spatial frequency (SF) selectivity.
  • The impact of SF selectivity on population receptive field (pRF) size remains under-investigated despite widespread pRF mapping.
  • Functional magnetic resonance imaging (fMRI) is a key tool for measuring pRFs.

Purpose of the Study:

  • To investigate the relationship between SF adaptation and pRF size in the early visual cortex.
  • To test the hypothesis that SF adaptation alters neuronal sensitivity and consequently pRF size.
  • To provide direct evidence linking visual cortex spatial tuning to neural SF selectivity.

Main Methods:

  • Quantified the SF aftereffect using psychophysics with human observers judging SF after adapting to high/low SF noise.
  • Integrated SF adaptation into a standard pRF mapping procedure using fMRI.
  • Measured changes in pRF sizes following SF adaptation.

Main Results:

  • Adaptation to low SF resulted in smaller pRFs.
  • Adaptation to high SF resulted in larger pRFs.
  • These results support the initial hypothesis regarding SF adaptation and pRF size.

Conclusions:

  • Spatial tuning of the visual cortex, measured by pRF mapping, is directly related to the SF selectivity of neural populations.
  • Findings have implications for understanding size perception and visual acuity.
  • This study offers the most direct evidence to date for the link between SF selectivity and pRF size.