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Related Concept Videos

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.
Visual System01:26

Visual System

Light enters the eye through the cornea, a transparent, dome-shaped surface covering the surface of the eyeball that helps to direct and focus incoming light. This light is then channeled toward the pupil, an adjustable opening whose size is controlled by the iris. The iris, a pigmented muscle, regulates the amount of light entering the eye by contracting or dilating the pupil, thereby ensuring optimal light levels for clear vision.
Once through the pupil, the light passes through the lens, a...
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.
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,...
Anatomy of the Eyeball01:20

Anatomy of the Eyeball

The eye is a spherical, hollow structure composed of three tissue layers. The outer layer — the fibrous tunic, comprises the sclera — a white structure — and the cornea, which is transparent. The sclera encompasses some of the ocular surface, most of which is not visible. However, the 'white of the eye' is distinctively visible in humans compared to other species. The cornea, a clear covering at the front of the eye, enables light penetration. The eye's middle layer, the vascular tunic,...
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...

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Related Experiment Video

Updated: Jun 26, 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

The representation of object viewpoint in human visual cortex.

David R Andresen1, Joakim Vinberg, Kalanit Grill-Spector

  • 1Department of Psychology, Stanford University, Stanford, CA 94305, USA. dandrese@mscd.edu

Neuroimage
|December 23, 2008
PubMed
Summary
This summary is machine-generated.

Human brain object recognition is not fully invariant to viewpoint. Brain regions show sensitivity to object rotation, with variations across categories and specific brain areas like the fusiform gyrus.

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Measuring Sensitivity to Viewpoint Change with and without Stereoscopic Cues
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Related Experiment Videos

Last Updated: Jun 26, 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

Measuring Sensitivity to Viewpoint Change with and without Stereoscopic Cues
08:04

Measuring Sensitivity to Viewpoint Change with and without Stereoscopic Cues

Published on: December 4, 2013

Functional Magnetic Resonance Imaging (fMRI) of the Visual Cortex with Wide-View Retinotopic Stimulation
07:11

Functional Magnetic Resonance Imaging (fMRI) of the Visual Cortex with Wide-View Retinotopic Stimulation

Published on: December 8, 2023

Area of Science:

  • Neuroscience
  • Cognitive Science
  • Computer Vision

Background:

  • Invariant object recognition is crucial for understanding the human brain.
  • The sensitivity of object representations to viewpoint remains largely unknown.

Purpose of the Study:

  • To investigate the viewpoint sensitivity of object representations in the human brain.
  • To explore how object category and fMRI-adaptation paradigms influence viewpoint sensitivity.

Main Methods:

  • Utilized functional magnetic resonance imaging (fMRI) with a parametric approach.
  • Examined object view sensitivity across rotations (0-180 degrees), categories (animal/vehicle), and fMRI-adaptation lags.
  • Employed a computational model of view-tuned neurons.

Main Results:

  • Object-selective brain regions showed sensitivity to object rotation, indicated by recovery from fMRI adaptation.
  • Differential representations were observed across categories and ventral stream regions.
  • The left fusiform/occipito-temporal sulcus (pFUS/OTS) exhibited lower sensitivity to rotation, while fusiform regions showed a preference for frontal animal views.

Conclusions:

  • Human object representations are not completely invariant to viewpoint.
  • Parametric approaches are valuable for studying neural object invariance.
  • Computational models can explain observed fMRI findings related to neural view tuning.