Computer Simulations of Object Discrimination by Visual Cortex,

Abstract

We present computer simulations of how the visual cortex may discriminate objects based on depth-from-occlusion. We propose neural mechanisms for how the visual system binds edges into contours, and binds contours and surfaces into objects. The model is simulated by a system of physiologically- based neural networks which feature feedback connections from higher to lower cortical areas, a distributed representation of depth, and phase-locked cortical neuronal firing. The system demonstrates psychophysical properties consistent with human perception of real and illusory visual scenes. The model addresses both the binding problem and the problem of object segmentation.

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Document Details

Document Type
Technical Report
Publication Date
Jan 03, 1992
Accession Number
ADA253345

Entities

People

  • Leif H. Finkel
  • Paul Sajda

Organizations

  • University of Pennsylvania

Tags

Communities of Interest

  • Air Platforms

DTIC Thesaurus Topics

  • Cognitive Neuroscience
  • Cognitive Science
  • Computations
  • Computer Simulations
  • Computer Vision
  • Firing Rate
  • Military Research
  • Nervous System
  • Neurosciences
  • Perception
  • Simulations
  • Simulators
  • Triangles
  • Universities
  • Vascular System Injuries
  • Visual Cortex

Fields of Study

  • Computer science

Readers

  • Computer Vision.
  • Neural Network Machine Learning.
  • Vision Science/Vision Psychology/Cognitive Neuroscience.

Technology Areas

  • AI & ML