Electroencephalogy (EEG) Feedback in Decision-Making

Abstract

The goal of this project is to investigate whether Electroencephalogy (EEG) can provide useful feedback whentraining rapid decision-making. More specifically, EEG will allow us to provide online feedback about the neuraldecision processes occurring during image-recognition training, and in turn will lead to faster decision responses,more hits, and fewer false alarms. A second subgoal is to investigate whether this can be done under free-viewingconditions in which eye movements must be made while viewing complex scenes.

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Document Details

Document Type
Technical Report
Publication Date
Aug 26, 2015
Accession Number
AD1007472

Entities

People

  • Matthew S. Peterson

Organizations

  • George Mason University

Tags

Communities of Interest

  • Human Systems
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Armored Vehicles
  • Computer Programming
  • Computer Programs
  • Computers
  • Data Analysis
  • Data Sets
  • Engineering
  • False Alarms
  • Image Recognition
  • Information Science
  • Machine Learning
  • Operating Systems
  • Psychology
  • Recognition
  • Software Development
  • Students
  • Supervised Machine Learning

Fields of Study

  • Psychology

Readers

  • Brain and Cognitive Science; Experimental Psychology; Cognitive Neuroscience
  • Sensor Fusion and Tracking Systems.

Technology Areas

  • AI & ML