The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Memristive Rulkov Neuron Model With Magnetic Induction Effects
Abstract
The magnetic induction effects have been emulated by various continuous memristive models but they have not been successfully described by a discrete memristive model yet. To address this issue, this article first constructs a discrete memristor and then presents a discrete memristive Rulkov (m-Rulkov) neuron model. The bifurcation routes of the m-Rulkov model are declared by detecting the eigenvalue loci. Using numerical measures, we investigate the complex dynamics shown in the m-Rulkov model, including regime transition behaviors, transient chaotic bursting regimes, and hyperchaotic firing behaviors, all of which are closely relied on the memristor parameter. Consequently, the involvement of memristor can be used to simulate the magnetic induction effects in such a discrete neuron model. Besides, we elaborate a hardware platform for implementing the m-Rulkov model and acquire diverse spiking-bursting sequences. These results show that the presented model is viable to better characterize the actual firing activities in biological neurons than the Rulkov model when biophysical memory effect is supplied.
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Cites
Bassham, L. E., Rukhin, A. L., Soto, J., Nechvatal, J. R., Smid, M. E., Barker, E. B., Leigh, S. D., Levenson, M., Vangel, M., Banks, D. L., et al. (2010) · NIST Special Publication 800-22 Revision 1a · doi:10.6028/nist.sp.800-22r1a · Cited by 3,617
Fully hardware-implemented memristor convolutional neural network
Yao, P., Wu, H., Gao, B., Tang, J., Zhang, Q., Zhang, W., Yang, J. J., & Qian, H. (2020) · Nature · doi:10.1038/s41586-020-1942-4 · Cited by 2,179
If it's pinched it's a memristor
Chua, L. (2014) · Semiconductor Science and Technology · doi:10.1088/0268-1242/29/10/104001 · Cited by 685
Sine-transform-based chaotic system with FPGA implementation
Hua, Z., Zhou, B., & Zhou, Y. (2018) · IEEE Transactions on Industrial Electronics · doi:10.1109/tie.2017.2736515 · Cited by 180
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Cited by
Brain-Like Initial-Boosted Hyperchaos and Application in Biomedical Image Encryption
Lin, H., Wang, C., Cui, L., Sun, Y., Xu, C., & Yu, F. (2022) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2022.3155599 · Cited by 291
Sun, J., Li, C., Wang, Z., & Wang, Y. (2024) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2023.3312405 · Cited by 172
Alexan, W., & Megalli, Y. (2025) · Discover Electronics · doi:10.1007/s44291-025-00116-4 · Cited by 37
Metadata
- Authors
- Li, K., Bao, H., Li, H., Ma, J., Hua, Z., & Bao, B.
- Venue
- IEEE Transactions on Industrial Informatics
- Published
- 2022-03
- Volume
- 18
- Issue
- 3
- Pages
- 1726-1736
- ISSN
- 1551-3203 (ISSN-L)
- 1941-0050
- OpenAlex
- W3169771080
- Cited by
- 268
- References
- 4
- FWCI
- 13.75
- Type
- journal article
- Language
- en
- Open access
- closed
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- Li, K., Bao, H., Li, H., Ma, J., Hua, Z., & Bao, B. (2022). Memristive Rulkov Neuron Model With Magnetic Induction Effects. IEEE Transactions on Industrial Informatics. https://doi.org/10.1109/tii.2021.3086819
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