Foundations of Neuromorphic Computing

Abstract

This neuromorphic computing research and development effort explored the design and implementation of computationally intelligent computer architectures and high performance computer software algorithms. The in-house research concentrated on the design of mathematical models, algorithms, computing architectures, and computational efficiencies for the advancement of neuromorphic computing and neuroprocessors. The software aspect of the research demonstrated the combination of computational power with human level cognitive functionality to create a system that can increase Department of Defense (DoD) operators and analysts ability to analyze textual and character data. The hardware aspect of the research explored memristor-based and zero instruction set computing technology to provide neuromorphic computing for size, weight, and power limited applications. Progress was made on both the hardware and software side of neuromorphic computing research setting the stage for future agile information systems.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
May 01, 2013
Accession Number
ADA581175

Entities

People

  • Bryant Wysocki
  • Clare Thiem
  • James Bohl
  • Morgan Bishop
  • Nathan D. McDonald

Organizations

  • Air Force Research Laboratory

Tags

Communities of Interest

  • Advanced Electronics

DTIC Thesaurus Topics

  • Air Force
  • Brain
  • Change Detection
  • Character Recognition
  • Circuit Analysis
  • Complementary Metal-Oxide Semiconductors
  • Computational Science
  • Computer Architecture
  • Computer Programs
  • Computers
  • Electronics Industry
  • High Performance Computing
  • Information Systems
  • Logic Gates
  • Mathematical Models
  • Memristors
  • Semiconductors

Fields of Study

  • Computer science

Readers

  • Computational Fluid Dynamics (CFD)
  • Integrated Circuit Design and Technology.
  • Technical Research and Report Writing.