Delayed switching applied to memristor neural networks
- Future Computing Group, School of Computing, University of Kent, Canterbury (United Kingdom)
- School of Computer Science, University of Hertfordshire, Hatfield (United Kingdom)
- Xyratex, Havant (United Kingdom)
- Department of Computing, Imperial College, London (United Kingdom)
- CERN, Geneva (Switzerland)
Magnetic flux and electric charge are linked in a memristor. We reported recently that a memristor has a peculiar effect in which the switching takes place with a time delay because a memristor possesses a certain inertia. This effect was named the ''delayed switching effect.'' In this work, we elaborate on the importance of delayed switching in a brain-like computer using memristor neural networks. The effect is used to control the switching of a memristor synapse between two neurons that fire together (the Hebbian rule). A theoretical formula is found, and the design is verified by a simulation. We have also built an experimental setup consisting of electronic memristive synapses and electronic neurons.
- OSTI ID:
- 22038931
- Journal Information:
- Journal of Applied Physics, Vol. 111, Issue 7; Conference: 55. annual conference on magnetism and magnetic materials, Atlanta, GA (United States), 14-18 Nov 2010; Other Information: (c) 2012 American Institute of Physics; Country of input: International Atomic Energy Agency (IAEA); ISSN 0021-8979
- Country of Publication:
- United States
- Language:
- English
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