Applying Neuroscience to Enhance Tactical Leader Cognitive Performance in Combat

Abstract

The U.S. Army relies on tactical-level leaders not for their physical warfighting skills, but for their ability to employ cognitive thought during stressful situations. Cognitive tasks include sensing patterns, deciphering complex environments, creating novel solutions, and synchronizing multiple battlefield systems, to name but a few. The physiological response to combat can degrade that cognitive capability, preventing leaders from performing tasks critical to unit success. This thesis approached tactical combat leadership from a brain-based perspective, seeking ways to enhance leader cognitive performance. To do so, it explored the physiological aspects of threat response and examined the field of neuroscience to understand brain function. The following principles are relevant to combat leadership: (1) the brain sacrifices cognitive resources to respond emotionally, (2) stress degrades the form of conscious attention known as "working memory," and (3) certain brain areas can be deliberately activated to exert control over emotions. Further research resulted in a menu of techniques that tactical leaders can use to regulate the emotional response and improve cognitive performance in combat.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Dec 16, 2011
Accession Number
ADA556552

Entities

People

  • Andrew C. Steadman

Organizations

  • United States Army Command and General Staff College

Tags

Communities of Interest

  • C4I
  • Engineered Resilient Systems
  • Human Systems
  • Weapons Technologies

DTIC Thesaurus Topics

  • Brain
  • Brain Injuries
  • Cognition
  • Cognitive Science
  • Employment
  • Human Behavior
  • Medical Personnel
  • Mental Processes
  • Military Research
  • Military Science
  • Nervous System
  • Neurosciences
  • Personnel Management
  • Psychology
  • Social Psychology
  • Students
  • Warfare

Fields of Study

  • Psychology

Readers

  • Military Training and Readiness Simulation
  • Neural Network Machine Learning.
  • Systems Analysis and Design