Pavlov associative memory in a memristive neural network and its circuit implementation

abstract

• 2015 Elsevier B.V. Associative memory is the process by which an association between two stimuli or a behavior and a stimulus is learned. This paper contributes to propose a memristive neural network and realize the Pavlov associative memory through (a) putting forward a novel average-input-feedback (AIF) learning law; (b) proposing a detailed two-terminal charge-controlled SPICE memristor models; (c) building a memristive neural network (MNN) circuit, for the first time, to realize the Pavlov associative memory. The results prove the effectiveness of AIF on facilitating the memristor for associative learning in memristive neural networks.

authors

• Huang, Tingwen

published proceedings

• NEUROCOMPUTING

author list (cited authors)

• Wang, L., Li, H., Duan, S., Huang, T., & Wang, H.

citation count

• 67

complete list of authors

• Wang, Lidan||Li, Huifang||Duan, Shukai||Huang, Tingwen||Wang, Huamin

publication date

• January 2016

publisher

• Elsevier  Publisher

published in

• Neurocomputing  Journal

keywords

• Associative Memory
• Average-input-feedback (aif)
• Memristive Neural Network Circuit
• Memristor

Digital Object Identifier (DOI)

• 10.1016/j.neucom.2015.05.078

start page

• 23

end page

• 29

volume

• 171

URL

• http%3A%2F%2Fdx.doi.org%2F10.1016%2Fj.neucom.2015.05.078