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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.
Vision01:24

Vision

Vision is the result of light being detected and transduced into neural signals by the retina of the eye. This information is then further analyzed and interpreted by the brain. First, light enters the front of the eye and is focused by the cornea and lens onto the retina—a thin sheet of neural tissue lining the back of the eye. Because of refraction through the convex lens of the eye, images are projected onto the retina upside-down and reversed.
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,...
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...
Parallel Processing01:20

Parallel Processing

The brain processes sensory information rapidly due to parallel processing, which involves sending data across multiple neural pathways at the same time. This method allows the brain to manage various sensory qualities, such as shapes, colors, movements, and locations, all concurrently. For instance, when observing a forest landscape, the brain simultaneously processes the movement of leaves, the shapes of trees, the depth between them, and the various shades of green. This enables a quick and...

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Related Experiment Video

Updated: May 29, 2026

Investigating Object Representations in the Macaque Dorsal Visual Stream Using Single-unit Recordings
07:08

Investigating Object Representations in the Macaque Dorsal Visual Stream Using Single-unit Recordings

Published on: August 1, 2018

Constructing scenes from objects in human occipitotemporal cortex.

Sean P MacEvoy1, Russell A Epstein

  • 1Department of Psychology, Boston College, Chestnut Hill, Massachusetts, USA. sean.macevoy.1@bc.edu

Nature Neuroscience
|September 6, 2011
PubMed
Summary
This summary is machine-generated.

The human lateral occipital (LO) cortex recognizes visual scenes by analyzing objects within them. This object-based recognition complements the parahippocampal place area's (PPA) processing of global scene features.

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Mapping Cortical Dynamics Using Simultaneous MEG/EEG and Anatomically-constrained Minimum-norm Estimates: an Auditory Attention Example
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Mapping Cortical Dynamics Using Simultaneous MEG/EEG and Anatomically-constrained Minimum-norm Estimates: an Auditory Attention Example

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Related Experiment Videos

Last Updated: May 29, 2026

Investigating Object Representations in the Macaque Dorsal Visual Stream Using Single-unit Recordings
07:08

Investigating Object Representations in the Macaque Dorsal Visual Stream Using Single-unit Recordings

Published on: August 1, 2018

Translational Brain Mapping at the University of Rochester Medical Center: Preserving the Mind Through Personalized Brain Mapping
13:12

Translational Brain Mapping at the University of Rochester Medical Center: Preserving the Mind Through Personalized Brain Mapping

Published on: August 12, 2019

Mapping Cortical Dynamics Using Simultaneous MEG/EEG and Anatomically-constrained Minimum-norm Estimates: an Auditory Attention Example
08:45

Mapping Cortical Dynamics Using Simultaneous MEG/EEG and Anatomically-constrained Minimum-norm Estimates: an Auditory Attention Example

Published on: October 24, 2012

Area of Science:

  • Neuroscience
  • Cognitive Neuroscience
  • Visual Perception

Background:

  • The human brain processes complex visual information, including real-world scenes.
  • Understanding the neural mechanisms of scene recognition is crucial for cognitive neuroscience.
  • Previous research highlights the parahippocampal place area (PPA) in scene processing, but the role of other regions remains under investigation.

Purpose of the Study:

  • To investigate the neural mechanisms underlying the recognition of real-world visual scenes.
  • To determine if the lateral occipital (LO) cortex plays a role in scene recognition through object analysis.
  • To compare the processing of scenes and objects in the LO cortex versus the PPA.

Main Methods:

  • Functional magnetic resonance imaging (fMRI) was employed to record neural activity.
  • Participants viewed four categories of scenes and eight categories of associated 'signature' objects across three experiments.
  • Multivoxel pattern analysis was used to compare brain activity patterns elicited by scenes and objects.

Main Results:

  • Multivoxel patterns in the LO cortex evoked by scenes were predictable from the average patterns of their constituent signature objects.
  • No significant relationship was found between scene and object patterns in the PPA.
  • The PPA showed strong responses to scenes, consistent with its known role in scene identification.

Conclusions:

  • The LO cortex utilizes an object-based mechanism for scene recognition by analyzing within-scene objects in parallel.
  • This object-based processing in the LO cortex complements the PPA's role in processing global scene properties.
  • The findings suggest a dual-channel system for scene recognition involving both object-based and global feature analysis.