Noise cancellation of memristive neural networks. Academic Article

abstract

• This paper investigates noise cancellation problem of memristive neural networks. Based on the reproducible gradual resistance tuning in bipolar mode, a first-order voltage-controlled memristive model is employed with asymmetric voltage thresholds. Since memristive devices are especially tiny to be densely packed in crossbar-like structures and possess long time memory needed by neuromorphic synapses, this paper shows how to approximate the behavior of synapses in neural networks using this memristive device. Also certain templates of memristive neural networks are established to implement the noise cancellation.

authors

• Huang, Tingwen

published proceedings

• Neural Netw

author list (cited authors)

• Wen, S., Zeng, Z., Huang, T., & Yu, X.

citation count

• 25

complete list of authors

• Wen, Shiping||Zeng, Zhigang||Huang, Tingwen||Yu, Xinghuo

publication date

• December 2014

publisher

• Elsevier  Publisher

published in

• Neural Networks  Journal

keywords

• Memristor
• Neural Network
• Neural Networks, Computer
• STABILITY
• Signal-To-Noise Ratio

PubMed Central ID

• 25156063

Digital Object Identifier (DOI)

• 10.1016/j.neunet.2014.07.014

start page

• 74

end page

• 83

volume

• 60

URL

• http%3A%2F%2Fdx.doi.org%2F10.1016%2Fj.neunet.2014.07.014