Attentional Neurocomputing

Abstract

Our ultimate goal is develop neural-like cognitive sensory processing within non-neuronal systems. Toward this end, computational models are being developed for selectively attending the task-relevant parts of composite sensory excitations in an example sound processing application. Significant stimuli partials are selectively attended through the use of generalized neural adaptive beamformers. Computation components are being tested by experiment in the laboratory and also by use of recordings from sensor deployments in the ocean. Results will be presented. These computational components are being integrated into a comprehensive processing architecture that simultaneously attends memory according to stimuli, attends stimuli according to memory, and attends stimuli and memory according to an ongoing thought process. The proposed neural architecture is potentially very fast when implemented in special hardware.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1992
Accession Number
ADA264991

Entities

People

  • Steve L. Speidel

Organizations

  • Naval Command, Control and Ocean Surveillance Center

Tags

Communities of Interest

  • Energy and Power Technologies
  • Materials and Manufacturing Processes
  • Sensors

DTIC Thesaurus Topics

  • Angle Of Incidence
  • Artificial Intelligence
  • Artificial Intelligence Computing
  • Artificial Intelligence Software
  • Brain
  • Computer Vision
  • Doppler Effect
  • Ear
  • Excitation
  • Filtration
  • Frequency
  • Frequency Bands
  • Membranes
  • Recognition
  • Self Organizing Systems
  • Signal Processing
  • Test And Evaluation

Readers

  • Academic Conference Management
  • Neural Network Machine Learning.
  • Neuroscience