Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/142981
Title: Winner-takes-all mechanism realized by memristive neural network
Authors: Wang, Jun Jie
Yu, Qi
Hu, Shao Gang
Liu, Yanchen
Guo, Rui
Chen, Tu Pei
Yin, You
Liu, Yang
Keywords: Engineering::Electrical and electronic engineering
Issue Date: 2019
Source: Wang, J. J., Yu, Q., Hu, S. G., Liu, Y., Guo, R., Chen, T. P., . . . Liu, Y. (2019). Winner-takes-all mechanism realized by memristive neural network. Applied Physics Letters, 115(24), 243701-. doi:10.1063/1.5120973
Journal: Applied Physics Letters
Abstract: Winner-Takes-All (WTA), an important mechanism in neural networks of recurrently connected neurons, is a critical element of many models of cortical processing. However, few WTA neural networks have been realized physically, especially by memristor networks. In this work, we have designed and implemented a neural network with memristor-based synapses to realize the WTA in a neural system. Neuronal self-excitatory, excitatory, and inhibition by other neurons have been demonstrated. Competitions between two neurons, among three neurons, and between two groups of neurons are realized based on the memristive neural network. The winner neuron or winner group can suppress the other neuron(s) or other group(s) of neurons and dominate the neuronal firing. This work paves the way for further realization of complex models of cortical processing with memristive neural networks.
URI: https://hdl.handle.net/10356/142981
ISSN: 0003-6951
DOI: 10.1063/1.5120973
Rights: © 2019 Author(s). All rights reserved. This paper was published by AIP Publishing in Applied Physics Letters and is made available with permission of 2019 Author(s).
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:EEE Journal Articles

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