Computational Modeling of Individual Brains

Abstract

Aim 1: Stimulus design and fMRI measurements. The power of the synthesized neurometric models depends upon the design of the stimuli and the quality of the fMRI measurements. We will use 3D virtual worlds for our stimuli because they provide interactivity, complete control over the content, and are closer to what brains are designed to process than still imagery. These worlds will be designed to mimic the task for which the model is being synthesized. For example, training soldiers would use virtual worlds that mimic certain aspects of the combat experience relevant to the objectives of the training and/or treatment. To measure the induced brain activation patterns, we will pursue the development of fMRI protocols that optimize the measurement process.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Oct 31, 2015
Accession Number
AD1071701

Entities

People

  • Andrew Floren
  • Bruce F Naylor
  • David Ress
  • Risto P Miikkulainen

Organizations

  • University of Texas at Austin

Tags

Communities of Interest

  • Autonomy
  • Weapons Technologies

DTIC Thesaurus Topics

  • Algorithms
  • Artificial Intelligence
  • Artificial Intelligence Software
  • Cognitive Science
  • Computational Science
  • Decoding
  • Detection
  • Dimensionality Reduction
  • Feature Selection
  • Information Science
  • Kernel Functions
  • Machine Learning
  • Neural Networks
  • Pattern Recognition
  • Supervised Machine Learning
  • Three Dimensional
  • Virtual Reality

Readers

  • Computer Vision.
  • Neuroscience
  • Systems Analysis and Design