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

Association Areas of the Cortex01:21

Association Areas of the Cortex

7.2K
Association areas are regions of the cerebral cortex that do not have a specific sensory or motor function. Instead, they integrate and interpret information from various sources to enable higher cognitive processes such as memory, learning, and decision-making. Some key association areas include the following:
Prefrontal Association Area: This area is located in the frontal lobe and is involved in planning, decision-making, and moderating social behavior. It connects with primary motor areas,...
7.2K
Depth Perception and Spatial Vision01:15

Depth Perception and Spatial Vision

1.3K
Depth perception is the ability to perceive objects three-dimensionally. It relies on two types of cues: binocular and monocular. Binocular cues depend on the combination of images from both eyes and how the eyes work together. Since the eyes are in slightly different positions, each eye captures a slightly different image. This disparity between images, known as binocular disparity, helps the brain interpret depth. When the brain compares these images, it determines the distance to an object.
1.3K
Force Classification01:22

Force Classification

1.9K
Forces play a crucial role in the study of physics and engineering. They are essential in describing the motion, behavior, and equilibrium of objects in the physical world. Forces can be classified based on their origin, type, and direction of action.
Contact and non-contact forces are two of the most widely used categories of forces. As the name suggests, contact forces require physical contact between two objects to act upon each other. Examples of contact forces include frictional,...
1.9K
Relative Frequency Histogram01:14

Relative Frequency Histogram

6.0K
The relative frequency depicts the proportion of data points that have each value. The frequency tells the number of data points that have each value. Like the histogram, a relative frequency histogram also has the same shape with a horizontal scale (the x-axis), but the vertical scale (the y-axis) is marked with relative frequencies (percentages of the whole) instead of actual frequencies. A relative frequency histogram is a graphical representation of a frequency distribution where the...
6.0K
Relative Motion Analysis using Rotating Axes01:25

Relative Motion Analysis using Rotating Axes

620
Consider a component AB undergoing a linear motion. Along with a linear motion, point B also rotates around point A. To comprehend this complex movement, position vectors for both points A and B are established using a stationary reference frame.
However, to express the relative position of point B relative to point A, an additional frame of reference, denoted as x'y', is necessary. This additional frame not only translates but also rotates relative to the fixed frame, making it...
620
Continuous -time Fourier Transform01:11

Continuous -time Fourier Transform

535
The Fourier series is instrumental in representing periodic functions, offering a powerful method to decompose such functions into a sum of sinusoids. This technique, however, necessitates modification when applied to nonperiodic functions. Consider a pulse-train waveform consisting of a series of rectangular pulses. When these pulses have a finite period, they can be accurately represented by a Fourier series. Yet, as the period approaches infinity, resulting in a single, isolated pulse, the...
535

You might also read

Related Articles

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

Sort by
Same author

Spatial proximity and scene grammar: shaping spatial representations for memory-guided actions in naturalistic environments.

Scientific reports·2026
Same author

A French Canadian adaptation and validation of the Vividness of Visual Imagery Questionnaire and Plymouth Sensory Imagery Questionnaire.

Canadian journal of experimental psychology = Revue canadienne de psychologie experimentale·2025
Same author

Flexible usage of object and global scene information during human scene categorization.

Journal of experimental psychology. Human perception and performance·2025
Same author

Sustainable forest planning: Assessing biodiversity effects of Triad zoning based on empirical data and virtual landscapes.

Proceedings of the National Academy of Sciences of the United States of America·2025
Same author

Incidental Encoding of Objects during Search Is Stronger Than Intentional Memorization due to Increased Recollection Rather Than Familiarity.

Journal of cognitive neuroscience·2025
Same author

A classification-occupancy model based on automatically identified species data.

Ecology·2025

Related Experiment Video

Updated: Oct 29, 2025

Creating Objects and Object Categories for Studying Perception and Perceptual Learning
14:38

Creating Objects and Object Categories for Studying Perception and Perceptual Learning

Published on: November 2, 2012

12.0K

Flexible time course of spatial frequency use during scene categorization.

Sandro L Wiesmann1, Laurent Caplette2, Verena Willenbockel3,4

  • 1Scene Grammar Lab, Department of Psychology, Goethe University Frankfurt, Theodor-W.-Adorno-Platz 6, 60323, Frankfurt am Main, Germany. wiesmann@psych.uni-frankfurt.de.

Scientific Reports
|July 8, 2021
PubMed
Summary

Human scene categorization uses flexible spatial frequencies (SFs), not a consistent coarse-to-fine pattern. Strategies vary by task, suggesting adaptable visual processing for different scene types and levels of detail.

More Related Videos

Defining the Role Of Language in Infants' Object Categorization with Eye-tracking Paradigms
07:31

Defining the Role Of Language in Infants' Object Categorization with Eye-tracking Paradigms

Published on: February 8, 2019

6.9K
A Method for Investigating Age-related Differences in the Functional Connectivity of Cognitive Control Networks Associated with Dimensional Change Card Sort Performance
09:01

A Method for Investigating Age-related Differences in the Functional Connectivity of Cognitive Control Networks Associated with Dimensional Change Card Sort Performance

Published on: May 7, 2014

10.3K

Related Experiment Videos

Last Updated: Oct 29, 2025

Creating Objects and Object Categories for Studying Perception and Perceptual Learning
14:38

Creating Objects and Object Categories for Studying Perception and Perceptual Learning

Published on: November 2, 2012

12.0K
Defining the Role Of Language in Infants' Object Categorization with Eye-tracking Paradigms
07:31

Defining the Role Of Language in Infants' Object Categorization with Eye-tracking Paradigms

Published on: February 8, 2019

6.9K
A Method for Investigating Age-related Differences in the Functional Connectivity of Cognitive Control Networks Associated with Dimensional Change Card Sort Performance
09:01

A Method for Investigating Age-related Differences in the Functional Connectivity of Cognitive Control Networks Associated with Dimensional Change Card Sort Performance

Published on: May 7, 2014

10.3K

Area of Science:

  • Visual perception
  • Cognitive psychology
  • Computational neuroscience

Background:

  • Human observers rapidly categorize scenes using spatial frequencies (SFs).
  • A common hypothesis suggests a coarse-to-fine SF usage pattern (low SFs first, then high SFs).
  • Alternative SF usage strategies have been less explored.

Purpose of the Study:

  • To investigate all possible spatial frequency (SF) usage strategies in scene categorization.
  • To examine SF sampling patterns at different categorization levels (basic-level and superordinate-level).
  • To determine if a consistent SF usage pattern exists across various tasks.

Main Methods:

  • Probed all SF usage strategies randomly with high resolution in SF and time dimensions.
  • Utilized two categorization levels: basic-level (e.g., indoor scenes) and superordinate-level (indoor vs. outdoor).
  • Analyzed the relationship between SF sampling and categorization accuracy.

Main Results:

  • Basic-level indoor scene categorization correlated with high SF sampling.
  • Outdoor scene categorization showed a fine-to-coarse SF pattern (early high SFs, later low SFs).
  • Superordinate categorization involved shifts between low and high SFs over time.

Conclusions:

  • No single, consistent SF usage pattern was observed across all scene categorization tasks.
  • Findings partially replicate previous studies on diagnostic SFs but highlight task-dependent variations.
  • Human SF sampling strategies are flexible and adapt to stimulus and task characteristics.