From Synapses to Circuitry: Using Memristive Memory to Explore the Electronic Brain

  title={From Synapses to Circuitry: Using Memristive Memory to Explore the Electronic Brain},
  author={G. Snider and R. Amerson and D. Carter and H. Abdalla and M. Qureshi and J. L{\'e}veill{\'e} and M. Versace and Heather Ames and Sean Patrick and B. Chandler and A. Gorchetchnikov and E. Mingolla},
In a synchronous digital platform for building large cognitive models, memristive nanodevices form dense, resistive memories that can be placed close to conventional processing circuitry. Through adaptive transformations, the devices can interact with the world in real time. 
Memristive devices and circuits for computing, memory, and neuromorphic applications.
Thesis (Ph.D.) -- University of Adelaide, School of Electrical and Electronic Engineering, 2012.
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Wafer-scale integration of analog neural networks
  • J. Schemmel, J. Fieres, K. Meier
  • Computer Science
  • 2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence)
  • 2008
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