Emerging Neuromorphic Computing Architectures & Enabling Hardware for Cognitive Information Processing Applications

Abstract

The highly cross-disciplinary emerging field of neuromorphic computing architectures for cognitive information processing applications requires knowledge within many research fields: computer architecture, neuroscience, cognitive psychology, cognitive modeling, dynamical systems, belief systems, software, computer engineering, etc. In our effort to develop cognitive systems atop a neuromorphic computing architecture, we explored the issues associated with mapping computing strategies such as the Brain Statein- a-Box and Confabulation within a Cell-BE powered 54 TeraFlops high performance computer Linux cluster. In this work, we seek to understand the underlying mechanisms for emulating neuromorphic-based cognitive process and their computational scaling properties towards human-like cognition and perception. 15.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 2010
Accession Number
ADA548910

Entities

People

  • Gerard Genello
  • Michael J Moore
  • Morgan Bishop
  • Richard Linderman
  • Robinson E. Pino

Organizations

  • Air Force Research Laboratory

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Air Force
  • Air Force Research Laboratories
  • Algorithms
  • Artificial Intelligence
  • Brain
  • Computer Architecture
  • Computers
  • Computing System Architectures
  • High Performance Computing
  • Information Processing
  • Information Systems
  • Neurosciences
  • Operating Systems
  • Parallel Computing
  • Parallel Processing
  • Software Development
  • Visual Cortex

Fields of Study

  • Computer science

Readers

  • Neural Network Machine Learning.
  • Parallel and Distributed Computing.
  • Systems Analysis and Design