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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.
Position and Displacement Vectors01:00

Position and Displacement Vectors

To describe the motion of an object, one should first be able to describe its position (where it is at any particular time). More precisely, the position needs to be specified relative to a convenient frame of reference. A frame of reference is an arbitrary set of axes from which the position and motion of an object are described. Earth is often used as a frame of reference to describe the position of an object in relation to stationary objects on Earth.
Further, several important kinds of...
Position and Displacement Vectors01:00

Position and Displacement Vectors

To describe the motion of an object, one should first be able to describe its position (where it is at any particular time). More precisely, the position needs to be specified relative to a convenient frame of reference. A frame of reference is an arbitrary set of axes from which the position and motion of an object are described. Earth is often used as a frame of reference to describe the position of an object in relation to stationary objects on Earth.
Further, several important kinds of...
Gestalt Principles of Perception01:21

Gestalt Principles of Perception

Gestalt principles provide a framework for understanding how humans perceive objects as unified wholes within their context. These principles are essential in explaining the cognitive processes that make sense of complex visual stimuli by organizing them into coherent groups. One fundamental principle is proximity, which posits that objects located close to each other are perceived as a collective group. For instance, when dots are positioned near one another, the visual system interprets them...
Velocity and Position by Graphical Method01:34

Velocity and Position by Graphical Method

Velocity and position can be calculated from the known function of acceleration as a function of time. The total area under the acceleration-time graph and the velocity-time graph gives the change in velocity and position, respectively. In the case of an airplane, its acceleration is tracked using the inertial navigation system. The pilot provides the input of the airplane's initial position and velocity before takeoff. The inertial navigation system then uses the acceleration data to calculate...
Position Vectors01:29

Position Vectors

A position vector is a fundamental concept in mathematics that helps determine the position of one point with respect to another point in space. It is a vector that describes the direction and distance between two points. Position vectors are highly useful in the field of math and science, as they help represent spatial relationships and make calculations easier.
For instance, we want to locate a point P(x, y, z) relative to the origin of coordinates O. In that case, we can define a position...

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Related Experiment Video

Updated: Jun 14, 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

High-level visual object representations are constrained by position.

Dwight J Kravitz1, Nikolaus Kriegeskorte, Chris I Baker

  • 1Laboratory of Brain and Cognition, National Institute of Mental Health, National Institutes of Health, Bethesda, MD 20892, USA. kravitzd@mail.nih.gov

Cerebral Cortex (New York, N.Y. : 1991)
|March 31, 2010
PubMed
Summary
This summary is machine-generated.

High-level visual object recognition is not position-independent as commonly believed. Our study demonstrates that object representations are position-dependent, impacting both behavior and brain activity.

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Area of Science:

  • Neuroscience
  • Cognitive Psychology
  • Visual Perception

Background:

  • The prevailing assumption in visual neuroscience is that high-level object representations are position-independent.
  • While object-selective cortex shows sensitivity to position, object identity and spatial information are thought to be encoded separately.

Purpose of the Study:

  • To investigate whether high-level visual object representations are truly position-independent or position-dependent.
  • To challenge the established view of invariant object recognition.

Main Methods:

  • Behavioral experiments measuring priming effects with changes in object position.
  • Neuroimaging (fMRI) to examine brain activity in object-selective cortex.
  • Analysis of population-level responses to assess object identity and position encoding.

Main Results:

  • Behaviorally, object priming effects significantly decreased when object position changed, indicating distinct representations for the same object at different locations.
  • Neuroimaging revealed that object-selective cortex is highly sensitive to object position.
  • The ability to discriminate between objects in object-selective cortex was significantly reduced when objects appeared in different positions, aligning with behavioral findings.

Conclusions:

  • High-level visual object representations are not position-independent but are instead position-dependent.
  • Object information in object-selective cortex is constrained by spatial location, even at the population level.
  • This challenges the traditional understanding of invariant object recognition in the human visual system.