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Periodic firing evolution of a Hindmarsh–Rose neuron model and FPGA circuit implementation
The discrete mapping method is used to study the firing trajectory of a 3D Hindmarsh–Rose model with periodic excitation. By constructing a discrete 3D Hindmarsh Rose model, the implicit mapping relationships are obtained. Then, the Period-Doubling, Saddle-Node, and Neimark bifurcations of Hindmarsh...
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Published in: | European physical journal plus 2024-03, Vol.139 (3), p.235, Article 235 |
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Main Authors: | , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | The discrete mapping method is used to study the firing trajectory of a 3D Hindmarsh–Rose model with periodic excitation. By constructing a discrete 3D Hindmarsh Rose model, the implicit mapping relationships are obtained. Then, the Period-Doubling, Saddle-Node, and Neimark bifurcations of Hindmarsh–Rose neurons from periodic motion to chaos with periodic excitation are analyzed. With the excitation changing, the Hindmarsh–Rose model exhibits dynamic bifurcation characteristics correspondingly, and a single or multiple firing activities appear in a single periodic motion. Furthermore, the effects of the amplitude and frequency of periodic excitation are described to reveal the stability region of the model, and the existence range of independent and continuous periodic motion in the two-parameter graph is found. Finally, by optimizing and adjusting parameters, a corresponding FPGA circuit is constructed to achieve the periodic firing characteristics. The result shows that waveform of the FPGA circuit match well with the theoretical results. |
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ISSN: | 2190-5444 2190-5444 |
DOI: | 10.1140/epjp/s13360-024-05046-w |