Title :
Multiple memristor read and write circuit for neuromorphic applications
Author :
Yakopcic, Chris ; Taha, Tarek M. ; Subramanyam, Guru ; Rogers, Stanley
Author_Institution :
Univ. of Dayton, Dayton, OH, USA
fDate :
July 31 2011-Aug. 5 2011
Abstract :
A memristor based write circuit is presented that can update multiple memristors using a neuron spike generated by the Izhikevich model. A memristor read circuit is also presented that is capable of quantizing the resistance into 5 discrete values that could be digitally decoded. Together, these circuits provide the basic block for a memristor based neuromorphic architecture. The memristors were modeled using published device characterization data.
Keywords :
memristors; neural nets; Izhikevich model; memristor read circuit; memristor write circuit; neuromorphic application; neuron spike; published device characterization data; Data models; Immune system; Integrated circuit modeling; Mathematical model; Memristors; Neurons; Transistors;
Conference_Titel :
Neural Networks (IJCNN), The 2011 International Joint Conference on
Conference_Location :
San Jose, CA
Print_ISBN :
978-1-4244-9635-8
DOI :
10.1109/IJCNN.2011.6033569