TY - GEN
T1 - The stochastic modeling of TiO2 memristor and its usage in neuromorphic system design
AU - Hu, Miao
AU - Wang, Yu
AU - Qiu, Qinru
AU - Chen, Yiran
AU - Li, Hai
PY - 2014
Y1 - 2014
N2 - Memristor, the fourth basic circuit element, has shown great potential in neuromorphic circuit design for its unique synapse-like feature. However, though the continuous resistance state of memristor has been expected, obtaining and maintaining an arbitrary intermediate state cannot be well controlled in nowadays memristive system. In addition, the stochastic switching behaviors have been widely observed. To facilitate the investigation on memristor-based hardware implementation, we built a stochastic behavior model of TiO2 memristive devices based on the real experimental results. By leveraging the stochastic behavior of memristors, a macro cell design composed of multiple parallel connecting memristors can be successfully used in implementing the weight storage unit and the stochastic neuron - the two fundamental components in neural network (NN)s, providing a feasible solution in memristor-based hardware implementation.
AB - Memristor, the fourth basic circuit element, has shown great potential in neuromorphic circuit design for its unique synapse-like feature. However, though the continuous resistance state of memristor has been expected, obtaining and maintaining an arbitrary intermediate state cannot be well controlled in nowadays memristive system. In addition, the stochastic switching behaviors have been widely observed. To facilitate the investigation on memristor-based hardware implementation, we built a stochastic behavior model of TiO2 memristive devices based on the real experimental results. By leveraging the stochastic behavior of memristors, a macro cell design composed of multiple parallel connecting memristors can be successfully used in implementing the weight storage unit and the stochastic neuron - the two fundamental components in neural network (NN)s, providing a feasible solution in memristor-based hardware implementation.
UR - http://www.scopus.com/inward/record.url?scp=84897838222&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84897838222&partnerID=8YFLogxK
U2 - 10.1109/ASPDAC.2014.6742993
DO - 10.1109/ASPDAC.2014.6742993
M3 - Conference contribution
AN - SCOPUS:84897838222
SN - 9781479928163
T3 - Proceedings of the Asia and South Pacific Design Automation Conference, ASP-DAC
SP - 831
EP - 836
BT - 2014 19th Asia and South Pacific Design Automation Conference, ASP-DAC 2014 - Proceedings
T2 - 2014 19th Asia and South Pacific Design Automation Conference, ASP-DAC 2014
Y2 - 20 January 2014 through 23 January 2014
ER -