Neurocognitive Predictions of Performance.

Abstract

Our aim is to measure the functional neural networks responsible for human goal-directed behaviors. During the past three years we developed new methods for recording and analyzing the electrical activity of the brain while subjects perform simple cognitive tasks. We have sought to determine the feasibility of predicting decrements in performance associated with transient attentional lapses or operational fatigue. Using the method of Event-Related Covariance (ERC) analysis, we found distributed neural preparatory sets that predicted the accuracy of subsequent responses. In a second experiment on the effects of operational fatigue in U.S. Air Force test pilots, we found fatigue- related neuroelectric changes during cognitive processing that preceded appreciable degradations in performance. These results suggest the feasibility of on-line systems that warn of impaired performance due to prolonged mental work by persons engaged in critical or hazardous work.

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Document Details

Document Type
Technical Report
Publication Date
Sep 25, 1987
Accession Number
ADA188323

Entities

People

  • Alan S. Gevins

Tags

Communities of Interest

  • Energy and Power Technologies
  • Human Systems

DTIC Thesaurus Topics

  • Accuracy
  • Air Force
  • Brain
  • Cognition
  • Data Analysis
  • Electroencephalography
  • Health Services
  • Information Processing
  • Information Science
  • Magnetic Resonance
  • Medical Personnel
  • Neural Networks
  • Pattern Recognition
  • Psychology
  • Scientists
  • Signal Processing
  • Three Dimensional

Readers

  • Neuroscience
  • Systems Analysis and Design
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.

Technology Areas

  • AI & ML
  • AI & ML - Neural Networks