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

Motor and Sensory Areas of the Cortex01:14

Motor and Sensory Areas of the Cortex

The cerebral cortex, the brain's outermost layer, is pivotal in processing complex cognitive tasks, emotions, and various sensory inputs and executing voluntary motor activities. This intricate structure is divided into three primary functional areas: the motor areas, sensory areas, and association areas.
Motor Areas
The motor areas located in the frontal lobe are central to controlling voluntary movements. This region is further subdivided into the primary motor cortex and the premotor cortex.
Somatosensory, Motor, and Association Cortex01:23

Somatosensory, Motor, and Association Cortex

The somatosensory cortex in the parietal lobes is crucial for interpreting sensory data such as touch, temperature, and proprioception. The somatosensory cortex, situated in the parietal lobes, plays a vital role in interpreting sensory information like touch, temperature, and proprioception—awareness of body position. This specialized brain region features an organized structure wherein neurons at the top primarily process sensations originating from the lower body. In contrast, those at the...
Cognitive Learning01:21

Cognitive Learning

Cognitive learning is based on purposive behavior, incidental learning, and insight learning.
E. C. Tolman's theory of purposive behavior emphasizes that much behavior is goal-directed. He argued that to understand behavior, we must look at the entire sequence of actions leading to a goal. For instance, high school students study hard, not just due to past reinforcement but also to achieve the goal of getting into a good college.
Tolman introduced the idea that behavior is influenced by...
Association Areas of the Cortex01:21

Association Areas of the Cortex

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,...

You might also read

Related Articles

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

Sort by
Same author

Low-dimensional and optimised representations of high-level information in the expert brain.

Nature communications·2026
Same author

Tracing aesthetic experience from perception and conception to appraisal using deep convolutional neural networks.

iScience·2026
Same author

Category selectivity observed in the human brain is distinct from category selectivity observed in artificial neural networks.

bioRxiv : the preprint server for biology·2026
Same author

TopoNets: High performing vision and language models with brain-like topography.

... International Conference on Learning Representations·2026
Same author

Rethinking neuroaesthetics: Toward a multidimensional and integrative science of aesthetic experience.

Neuron·2026
Same author

Individual differences in artificial neural networks capture individual differences in human behavior.

bioRxiv : the preprint server for biology·2026
Same journal

Sensorimotor Adaptation of Vocal Pitch Is Impaired in Cerebellar Ataxia.

Journal of cognitive neuroscience·2026
Same journal

Memory in the Palm of Your Hand: Smartphone-based Methods for Measuring Memory in the Wild.

Journal of cognitive neuroscience·2026
Same journal

Processing Asymmetry in Object-modifying Relative Clauses: Evidence from Functional Connectivity.

Journal of cognitive neuroscience·2026
Same journal

Extensive Experience Remodels Neural Task Circuitry to Escape the Frontal Bottleneck and Increase Automaticity of Categorization.

Journal of cognitive neuroscience·2026
Same journal

Investigating the Effects of Acute Stress on Neural Mechanisms of Self-controlled Decision-making.

Journal of cognitive neuroscience·2026
Same journal

Distilling the Neurophenomenological Signatures of Pure Awareness during Transcendental Meditation.

Journal of cognitive neuroscience·2026
See all related articles

Related Experiment Video

Updated: May 31, 2026

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

Can Category-selective Cortex Predict Categorization Behavior?

Timothee Maniquet1, Huangxu Fang1, N Apurva Ratan Murty2

  • 1KU Leuven Humanities and Social Sciences Group.

Journal of Cognitive Neuroscience
|May 29, 2026
PubMed
Summary
This summary is machine-generated.

Category-selective regions in the occipito-temporal cortex (OTC) predict behavioral performance in visual categorization tasks. This study shows that activity in face, body, and scene areas guides how we categorize objects.

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

Perceptual and Category Processing of the Uncanny Valley Hypothesis' Dimension of Human Likeness: Some Methodological Issues
07:34

Perceptual and Category Processing of the Uncanny Valley Hypothesis' Dimension of Human Likeness: Some Methodological Issues

Published on: June 3, 2013

Related Experiment Videos

Last Updated: May 31, 2026

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

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

Perceptual and Category Processing of the Uncanny Valley Hypothesis' Dimension of Human Likeness: Some Methodological Issues
07:34

Perceptual and Category Processing of the Uncanny Valley Hypothesis' Dimension of Human Likeness: Some Methodological Issues

Published on: June 3, 2013

Area of Science:

  • Neuroscience
  • Cognitive Psychology
  • Visual Perception

Background:

  • The human occipito-temporal cortex (OTC) contains regions selectively activated by specific visual object categories.
  • The distance-to-bound (DTB) approach uses multivariate brain activity to predict categorization behavior, showing correlations with OTC activity.
  • Previous studies did not clarify the precise location or task-specificity of these OTC-behavior correlations.

Purpose of the Study:

  • To investigate the relationship between category-selective OTC regions and behavioral performance in visual categorization.
  • To determine if univariate activity in specific OTC regions can predict performance in categorizing faces, bodies, and scenes.
  • To explore the generalizability of these findings across different response types and classification tasks.

Main Methods:

  • Relating activity in known category-selective OTC regions (e.g., FFA, OFA, EBA, PPA) to behavioral performance.
  • Participants categorized images based on their preferred categories (faces, bodies, scenes).
  • Utilized simple, univariate brain activity measures instead of complex multivariate decoding for the DTB approach.

Main Results:

  • Activation in face-selective regions (FFA, OFA) predicted behavioral performance in face categorization.
  • Activation in body-selective regions (EBA) predicted behavioral performance in body categorization.
  • Activation in scene-selective regions (PPA) predicted behavioral performance in scene categorization.
  • Results were consistent across reaction time and motor movements and generalized to animacy classification.

Conclusions:

  • Category-selective regions in the OTC are sufficient to guide visual categorization behavior.
  • The findings support the validity of the DTB approach for understanding the link between brain activity and behavior.
  • Univariate activity in specialized OTC areas plays a crucial role in object categorization.