FMRI for Functional Localization and Task Difficulty Assessment During Visual Search for Military Vehicles

Abstract

Past and current U.S. Army computational vision models designed to determine the difficulty of visual detection of camouflage for military vehicles are extremely limited in the sense that they do not encompass much of the brain outside the retina and visual cortex, and within those areas, do so to a very limited degree. A method and preliminary experiments to obtain the raw data to construct better and more representative models of human vision and cognition is presented. The inclusion of specific neurocircuitry in the computational model as opposed to the "black box" standard used in psychophysics is now possible. The combination of psychophysics and fMRI has the potential to give a more complete view of the neural systems that are relied on for different perception tasks related to camouflage and deception.

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Document Details

Document Type
Technical Report
Publication Date
Aug 03, 2005
Accession Number
ADA436478

Entities

People

  • Darryl Bryk
  • Euijung Sohn
  • Joyce Hirsch
  • Thomas Meitzler

Organizations

  • Tank-automotive and Armaments Command

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Blood Flow
  • Camouflage
  • Combat Vehicles
  • Data Analysis
  • Data Sets
  • Detection
  • Ground Vehicles
  • Information Operations
  • Infrared Detection
  • Magnetic Resonance
  • Magnetic Resonance Imaging
  • Military Vehicles
  • Perception
  • Signal Detection
  • Standards
  • Vehicles
  • Visual Perception

Readers

  • Neuroscience
  • Sensor Fusion and Tracking Systems.
  • Systems Analysis and Design

Technology Areas

  • AI & ML
  • AI & ML - Neural Networks