Dynamical analysis of an improved FitzHugh-Nagumo neuron model with multiplier-free implementation
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Experimental results of [132] confirm that their approach can produce electrical activity with periodic spiking, chaotic, and quasi-periodic behavior, suitable for analog circuits for neuromorphic intelligence based on FHN neurons.
“Experimental results confirm that their approach can produce electrical activity with periodic spiking, chaotic, and quasi-periodic behavior, which suggests that it is suitable for implementing analog circuits for neuromorphic intelligence based on FHN neurons.”
From Chaos-Based Image Encryption: Review, Application, and Challenges (2023) · cites this paper as [132]
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Chaos-Based Image Encryption: Review, Application, and Challenges
Zhang, B., & Liu, L. (2023) · Mathematics · doi:10.3390/math11112585 · Cited by 328 · see citing works
“[132] proposed a multiplier-free implementation of a nonlinear function with N-shaped curves.”
Background
- Authors
- Xu, Q., Chen, X., Chen, B., Wu, H., Li, Z., & Bao, H.
- Affiliations
- Changzhou University (CN)
- Corresponding author
- Bao, Han
- Venue
- Nonlinear Dynamics
- Published
- 2023-02-01
- Volume
- 111
- Issue
- 9
- Pages
- 8737-8749
- ISSN
- 0924-090X (ISSN-L)
- 1573-269X
- OpenAlex
- W4318766632
- Cited by
- 91
- References
- 0
- Citations by year
- 2026: 10 · 2025: 21 · 2024: 33 · 2023: 27
- FWCI
- 6.77
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- Nonlinear Dynamics (publishedVersion)
- Funders
- National Natural Science Foundation of China (12172066, 61801054)
- Natural Science Foundation of Jiangsu Province (BK20210850)
- “333 Project” of Jiangsu Province
- Qinglan Project of Jiangsu Province of China
- Postgraduate Research and Practice Innovation Program of Jiangsu Province, China (KYCX22_3054)
- College Students’ Innovation and Entrepreneurship Training Program of Changzhou University
- Topics
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Advanced Memory and Neural Computing
- Physical Sciences › Physics and Astronomy › Statistical and Nonlinear Physics › Chaos control and synchronization
- Physical Sciences › Physics and Astronomy › Statistical and Nonlinear Physics › stochastic dynamics and bifurcation
- Keywords
- FitzHugh-Nagumo model, analog circuit implementation, chaotic dynamics, quasiperiodicity, neuromorphic circuits, hardware neuron model
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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