{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,6]],"date-time":"2025-12-06T21:49:12Z","timestamp":1765057752005},"reference-count":31,"publisher":"World Scientific Pub Co Pte Lt","issue":"11","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Int. J. Bifurcation Chaos"],"published-print":{"date-parts":[[2021,9,15]]},"abstract":"<jats:p> Improving the neuron model and studying its electrical activities according to the real biophysical environment are significant in human cognitive brain activity and neural behavior. The complex transmembrane motion of ions on the neuronal cell membrane can establish time-varying electromagnetic fields and affect the transition firing patterns of neurons. In this paper, a threshold memristor is used to describe the electromagnetic induction and magnetic field effects of neuron cell membrane ion exchange to improve the neuron model, and a memristive Morris\u2013Lecar (mM\u2013L) neuron model is proposed. Numerical simulation confirms that different intensities of electromagnetic fields can produce distinct pattern transitions in electrical activities of the neuron, such as periodic bursting, periodic spiking, chaotic bursting. From the perspective of neuron\u2019s interspike interval (ISI), the ISIs bifurcation in the multiparameter planes, ISIs firing periods, the variance of ISIs and other methods are used to find the trend of the mM\u2013L neuron firing pattern transition. Finally, based on the 4D nonlinear differential equation of the mM\u2013L neuron model, the complete electronic implementation of the model is designed. The output of the designed circuit is consistent with the theoretical prediction, which is extremely useful for studying the dynamics of a single neuron. <\/jats:p>","DOI":"10.1142\/s0218127421501704","type":"journal-article","created":{"date-parts":[[2021,9,2]],"date-time":"2021-09-02T06:11:56Z","timestamp":1630563116000},"page":"2150170","source":"Crossref","is-referenced-by-count":12,"title":["Abundant Firing Patterns in a Memristive Morris\u2013Lecar Neuron Model"],"prefix":"10.1142","volume":"31","author":[{"given":"Guoyuan","family":"Qi","sequence":"first","affiliation":[{"name":"Tianjin Key Laboratory of Advanced Technology of Electrical Engineering and Energy, Tiangong University, Tianjin 300387, P. R. China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yu","family":"Wu","sequence":"additional","affiliation":[{"name":"Tianjin Key Laboratory of Advanced Technology of Electrical Engineering and Energy, Tiangong University, Tianjin 300387, P. R. 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