The Neurocognitive Basis of Knowledge Acquisition: Building Better Brains

Abstract

The proposed research will investigate both the cognitive and neural mechanisms through which individual new concepts are learned, maintained and remediated with instructional interventions. The goal is to use neural data to develop novel approaches to (1) instruction in the learning of a new concept in ways that take the neural representation into account; (2) the neural assessment and remediation of poorly learned or forgotten concepts; (3) the assessment of tissue changes and functional connectivity changes in various spatial learning environments; and (4) assessment of learning enhancement induced by rTMS. The concepts and systems to be learned will come from technical domains (e.g., physics, mechanics, genetics, etc.). Several converging measures of neural change will be acquired, such as white matter changes, gray matter changes, activation changes in a set of gray matter areas, and changes in synchronization (functional connectivity) among the activated areas.

Document Details

Document Type
DoD Grant Award
Publication Date
Sep 23, 2016
Source ID
N000141612694

Entities

People

  • Marcel Just

Organizations

  • Massachusetts Institute of Technology
  • Office of Naval Research
  • United States Navy

Tags

Readers

  • Artificial Intelligence
  • Neural Network Machine Learning.
  • Psychological Intervention/Treatment for Stress, Anxiety, PTSD, and Related Emotional and Cognitive Health Symptoms.

Technology Areas

  • Biotechnology