Autors: Mladenov, V. M., Kirilov, S. M.
Title: Learning of an Artificial Neuron with Resistor-Memristor Synapses
Keywords: memristor; memristor-resistor synapse; nonlinear memristor model; artificial neuron

Abstract: The artificial neurons are important modules in the electronic devices and systems. Due to their widespread application, it is of high interest their new and efficient schematic realizations to be investigated. The purpose of this research is to suggest a comprehensive analysis of a modified memristor-based neuron with bridge memristor-resistor synapses. The analyzed in this paper device is based on a conventional neuron for noise suppression and resistor-memristor synapses. The applied memristor-based synaptic circuit is able to realize positive, zero and negative synaptic weights. For the computer simulations, a previously proposed by the authors in another research paper modified nonlinear drift memristor model is applied. Several main memristor models are also applied for the present investigation. A comparison between the results is made and a good matching between them is established. Advantages of the proposed synaptic circuit are the wide range of altering the synaptic weights

References

    Issue

    ANNA '18; Advances in Neural Networks and Applications 2018, IEEE, pp. 1-4, 2018, Bulgaria, VDE, ISBN ISBN:978-3-8007-4756-6

    Цитирания (Citation/s):
    1. Ramakrishnan, Balamurali, Mahtab Mehrabbeik, Fatemeh Parastesh, Karthikeyan Rajagopal, and Sajad Jafari. "A New Memristive Neuron Map Model and Its Network’s Dynamics under Electrochemical Coupling." Electronics 11, no. 1 (2022): 153. - 2022 - в издания, индексирани в Scopus или Web of Science
    2. [1] Kirilov, S., I. Zaykov., “A Neural Network with HfO2 Memristors”, Proc. Tech. Univ. of Sofia, ISSN: 1311-0829, Vol.. 71, No. 1, 2021. - 2021 - в български издания
    3. Zaykov, I., “A modified metal-oxide memristor model for reconfigurable filters”, 2022, Proceedings of Technical University of Sofia, ISSN: 2738-8549, VOL. 72, NO. 2, https://doi.org/10.47978/TUS.2022.72.02.005, pp. 27 – 31. (Google Scholar) - 2022 - в български издания

    Вид: публикация в международен форум, публикация в реферирано издание, индексирана в Scopus