Details

Autor(en) / Beteiligte

• Wang, Frank Z.
• Helian, Na
• Wu, Sining
• Yang, Xiao
• Guo, Yike
• Lim, Guan
• Rashid, Md Mamunur

Titel

Delayed switching applied to memristor neural networks

Ist Teil von

• Journal of applied physics, 2012-04, Vol.111 (7), p.07E317-07E317-3

Ort / Verlag

United States: American Institute of Physics

Erscheinungsjahr

2012

Quelle

Alma/SFX Local Collection

Beschreibungen/Notizen

• 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.