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Depth Perception and Spatial Vision01:15

Depth Perception and Spatial Vision

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.
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...
Observational Learning01:12

Observational Learning

Albert Bandura's observational learning, also known as imitation or modeling, occurs when a person observes and imitates another's behavior. It is a quicker process than operant conditioning. A well-known example is the Bobo doll study, where children who saw an adult acting aggressively towards the doll were more likely to act aggressively when left alone, compared to those who observed a nonaggressive adult. Many psychologists view observational learning as a form of latent learning because...
Purposive Learning01:22

Purposive Learning

E. C. Tolman emphasized the purposiveness of behavior — the idea that much of our behavior is goal-directed. For instance, employees who aim for a promotion work diligently to meet their targets. Tolman argued that when classical conditioning and operant conditioning occur, the organism acquires certain expectations. In classical conditioning, a child might fear a dog because they expect it to bite. In operant conditioning, a person might consistently work overtime because they expect a bonus...
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...
Perception01:28

Perception

Perception is a fundamental psychological process that enables individuals to organize, interpret, and consciously experience sensory information. This process is crucial for understanding and interacting with the world around us. It includes both bottom-up and top-down processing, each playing a distinct role in how we perceive our environment.
Bottom-up processing begins at the sensory level, where receptors detect external environmental stimuli. These could include the tactile sensation of...

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Related Experiment Video

Updated: Jun 5, 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

Three-Dimensional Object Perception Can Emerge From Predictive Learning.

John Day1, Tushar Arora2, Jirui Liu3

  • 1International Research Center for Neurointelligence, University of Tokyo, Tokyo, Japan.

Developmental Science
|June 4, 2026
PubMed
Summary
This summary is machine-generated.

Infant object perception emerges through predictive learning, not just innate principles. A neural network model learned 3D object understanding using cohesion, continuity, and rigidity, demonstrating computational sufficiency for development.

Keywords:
3D perceptioncore knowledgeinfant developmentobject perceptionpredictive learningunsupervised learning

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Last Updated: Jun 5, 2026

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Area of Science:

  • Cognitive Science
  • Developmental Psychology
  • Computational Neuroscience

Background:

  • Infants develop 3D object perception using innate principles like cohesion, continuity, rigidity, and contact.
  • Studying infant behavior alone is insufficient to understand how object perception is learned under developmental constraints.

Purpose of the Study:

  • To test the computational sufficiency of core knowledge principles for object perception learning.
  • To investigate if predictive learning can drive the emergence of object perception in a model mimicking infant constraints.

Main Methods:

  • A deep neural network was trained in a simplified virtual environment to predict future visual input.
  • The model learned depth perception, object segmentation, and 3D localization without supervision.
  • The computational sufficiency of cohesion, continuity, and rigidity principles was assessed.

Main Results:

  • The model successfully learned object perception using cohesion, continuity, and rigidity, without needing the contact principle.
  • Relaxing the rigidity assumption impaired depth perception and 3D localization but not 2D segmentation.
  • The model's internal representations reflected object shapes and textures.

Conclusions:

  • Predictive learning is a viable mechanism for the emergence of object perception in early development.
  • Core knowledge principles of cohesion, continuity, and rigidity are sufficient for learning object perception under specific constraints.
  • The rigidity assumption is crucial for depth and 3D localization but not 2D segmentation.