Autors: Slavova A., Zafirova, Z. Z., Tetzlaff R.
Title: Edge of chaos in Nanoscale Memristor CNN
Keywords: nanoscale memristor, CNN, edge of chaos, numerical integrati

Abstract: In this paper analytical results are derived for nanoscale memristor CNN (NM-CNN) in which neurons operate in a regime called edge of chaos. The system describing the model consists of highly nonlinear differential equations. We propose new algorithm based on the generalized local activity scheme for the determination of the edge of chaos regime in nanoscale memristor CNN model under consideration. MATLAB implementation of algorithms based on a numerical integration of the NM-CNN state equations allowing a reliable and accurate determination of the edge of chaos parameter regime is proposed. Application of the obtained results for pattern formation is presented.

References

    Issue

    2019 IEEE International Symposium on Circuits and Systems (ISCAS), 2019, Japan, IEEE, ISBN:978-1-7281-0397-6\ ISSN: 2158-1525 \DOI: 10.1109/ISCAS.2019.8702436

    Copyright IEEE

    Full text of the publication

    Цитирания (Citation/s):
    1. Memristor Cellular Nonlinear Networks - 2023 - в издания, индексирани в Scopus или Web of Science
    2. Edge-of-Chaos in CNN Models with Memristor Synapses ( Book Chapter) - 2022 - в издания, индексирани в Scopus или Web of Science
    3. Research on Artificial Neural Networks in Bulgarian Academy of Sciences - 2021 - в издания, индексирани в Scopus или Web of Science
    4. Memory Computing on the Edge of Chaos - 2020 - в издания, индексирани в Scopus или Web of Science
    5. Universal In-memory Computing on the Edge of Chaos - 2020 - в издания, индексирани в Scopus или Web of Science

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