Temporal Influence on Awareness

Abstract

Grossberg's Motion Oriented Contrast Filter(MOC) was extensively analyzed(7). The output from the filter's "global motion" neuronal layer was compared to a noncausal post-processing filter developed by AFIT. Both filters were shown to incorporate a weighted, noncausal temporal range of input data in processed output. The global motion framework was then implemented using a physiologically motivated pulsed neural model - the Pulse Coupled Neural Network(PCNN). By incorporating both spatial and temporal data, the PCNN was shown to exhibit a common visual illusion, apparent motion. The existence of a physiological temporal processing range was further investigated through implementation of two multi-modal experiments which integrated visual and auditory stimulus input channels. Results from the first experiment reinforce earlier findings from literature of a temporal window for perception of simultaneous activity. (Events occurring within this window are considered simultaneous; events which span more than one window are considered temporally separate.) Data collected from the second experiment suggests future inputs from an accessory auditory stimulus impact current perception of a visual stimulus. The influence of the auditory accessory stimulus decreases as the temporal delay between visual and auditory stimulus presentation is increased up to a maximum value of approximately 40 milliseconds. These tests results suggest the existence of perceptual noncausality in the mind - awareness as a function of past, current, and future perceptual inputs.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1995
Accession Number
ADA305393

Entities

People

  • Don E. Hill

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Abstracts
  • Air Force
  • Audio Tones
  • Computer Vision
  • Computers
  • Contrast
  • Engineering
  • Fungi
  • Heart Rate
  • Information Processing
  • Neural Networks
  • Neurobehavioral Manifestations
  • Perception
  • Simulations
  • Test Sets
  • Trailing Edges
  • Two Dimensional

Readers

  • Neural Network Machine Learning.
  • Systems Analysis and Design
  • Vision Science/Vision Psychology/Cognitive Neuroscience.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference