Persuading Computers to Act More Like Brains

  • Heather Ames
  • Massimiliano Versace
  • Anatoli Gorchetchnikov
  • Benjamin Chandler
  • Gennady Livitz
  • Jasmin Léveillé
  • Ennio Mingolla
  • Dick Carter
  • Hisham Abdalla
  • Greg Snider
Chapter

Abstract

Convergent advances in neural modeling, neuroinformatics, neuromorphic engineering, materials science, and computer science will soon enable the development and manufacture of novel computer architectures, including those based on memristive technologies that seek to emulate biological brain structures. A new computational platform, Cog Ex Machina, is a flexible modeling tool that enables a variety of biological-scale neuromorphic algorithms to be implemented on heterogeneous processors, including both conventional and neuromorphic hardware. Cog Ex Machina is specifically designed to leverage the upcoming introduction of dense memristive memories close to computing cores. The MoNETA (Modular Neural Exploring Traveling Agent) model is comprised of such algorithms to generate complex behaviors based on functionalities that include perception, motivation, decision-making, and navigation. MoNETA is being developed with Cog Ex Machina to exploit new hardware devices and their capabilities as well as to demonstrate intelligent, autonomous behaviors in both virtual animats and robots. These innovations in hardware, software, and brain modeling will not only advance our understanding of how to build adaptive, simulated, or robotic agents, but will also create innovative technological applications with major impacts on general-purpose and high-performance computing.

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© Springer Science+Business Media Dordrecht 2012

Authors and Affiliations

  • Heather Ames
    • 1
  • Massimiliano Versace
    • 1
  • Anatoli Gorchetchnikov
    • 1
  • Benjamin Chandler
    • 2
  • Gennady Livitz
    • 1
  • Jasmin Léveillé
    • 1
  • Ennio Mingolla
    • 1
  • Dick Carter
    • 2
  • Hisham Abdalla
    • 2
  • Greg Snider
    • 2
  1. 1.Neuromorphics Lab, Center of Excellence for Learning in Education, Science, and Technology (CELEST)Boston UniversityBostonUSA
  2. 2.HP LabsPalo AltoUSA

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