Brain-Based Devices for Neuromorphic Computer Systems

Abstract

The ultimate goal of this project was to construct mobile devices capable of navigation, surveillance, and report. Control of these devices rests with simulated neuronal networks based on knowledge of higher brain functions that comprise cognitive control systems. In pursuing this goal, we made specific attempts to apply already demonstrated software strategies to develop a versatile set of spiking models, apply them to a recognition task, and to demonstrate a working memory. In the course of this work a new analytical method for spiking data was devised. We also designed and built a new type of mobile device capable of both flight and ground navigation while carrying a payload of surveillance sensors or other devices setting the stage for more autonomous systems.

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Document Details

Document Type
Technical Report
Publication Date
Jul 01, 2013
Accession Number
ADA587348

Entities

People

  • W. E. Gall

Tags

Communities of Interest

  • Energy and Power Technologies
  • Ground and Sea Platforms

DTIC Thesaurus Topics

  • Air Force
  • Brain
  • C Programming Language
  • Cerebral Cortex
  • Computational Neuroscience
  • Computational Science
  • Computer Programming
  • Computers
  • Control Systems
  • Mobile Devices
  • Neural Networks
  • Neurosciences
  • Servomechanisms
  • Surveillance
  • Unmanned Aerial Vehicles
  • Unmanned Ground Vehicles
  • Unmanned Vehicles

Fields of Study

  • Computer science

Readers

  • Integrated Circuit Design and Technology.
  • Neuroscience
  • Theoretical Analysis.

Technology Areas

  • Autonomy