Memristive Izhikevich Spiking Neuron Model and Its Application in Oscillatory Associative Memory
The Izhikevich (IZH) spiking neuron model can display spiking and bursting behaviors of neurons. Based on the switching property and bio-plausibility of the memristor, the memristive Izhikevich (MIZH) spiking neuron model is built. Firstly, the MIZH spiking model is introduced and used to generate 2...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2022-05-01
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| Series: | Frontiers in Neuroscience |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fnins.2022.885322/full |
| _version_ | 1818215174233915392 |
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| author | Xiaoyan Fang Shukai Duan Lidan Wang |
| author_facet | Xiaoyan Fang Shukai Duan Lidan Wang |
| author_sort | Xiaoyan Fang |
| collection | DOAJ |
| description | The Izhikevich (IZH) spiking neuron model can display spiking and bursting behaviors of neurons. Based on the switching property and bio-plausibility of the memristor, the memristive Izhikevich (MIZH) spiking neuron model is built. Firstly, the MIZH spiking model is introduced and used to generate 23 spiking patterns. We compare the 23 spiking patterns produced by the IZH and MIZH spiking models. Secondly, the MIZH spiking model actively reproduces various neuronal behaviors, including the excitatory cortical neurons, the inhibitory cortical neurons, and other cortical neurons. Finally, the collective dynamic activities of the MIZH neuronal network are performed, and the MIZH oscillatory network is constructed. Experimental results illustrate that the constructed MIZH spiking neuron model performs high firing frequency and good frequency adaptation. The model can easily simulate various spiking and bursting patterns of distinct neurons in the brain. The MIZH neuronal network realizes the synchronous and asynchronous collective behaviors. The MIZH oscillatory network can memorize and retrieve the information patterns correctly and efficiently with high retrieval accuracy. |
| first_indexed | 2024-12-12T06:31:53Z |
| format | Article |
| id | doaj.art-7e8f8779cd4a4bd6ba642d4f2d8e1f94 |
| institution | Directory Open Access Journal |
| issn | 1662-453X |
| language | English |
| last_indexed | 2024-12-12T06:31:53Z |
| publishDate | 2022-05-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Neuroscience |
| spelling | doaj.art-7e8f8779cd4a4bd6ba642d4f2d8e1f942022-12-22T00:34:33ZengFrontiers Media S.A.Frontiers in Neuroscience1662-453X2022-05-011610.3389/fnins.2022.885322885322Memristive Izhikevich Spiking Neuron Model and Its Application in Oscillatory Associative MemoryXiaoyan FangShukai DuanLidan WangThe Izhikevich (IZH) spiking neuron model can display spiking and bursting behaviors of neurons. Based on the switching property and bio-plausibility of the memristor, the memristive Izhikevich (MIZH) spiking neuron model is built. Firstly, the MIZH spiking model is introduced and used to generate 23 spiking patterns. We compare the 23 spiking patterns produced by the IZH and MIZH spiking models. Secondly, the MIZH spiking model actively reproduces various neuronal behaviors, including the excitatory cortical neurons, the inhibitory cortical neurons, and other cortical neurons. Finally, the collective dynamic activities of the MIZH neuronal network are performed, and the MIZH oscillatory network is constructed. Experimental results illustrate that the constructed MIZH spiking neuron model performs high firing frequency and good frequency adaptation. The model can easily simulate various spiking and bursting patterns of distinct neurons in the brain. The MIZH neuronal network realizes the synchronous and asynchronous collective behaviors. The MIZH oscillatory network can memorize and retrieve the information patterns correctly and efficiently with high retrieval accuracy.https://www.frontiersin.org/articles/10.3389/fnins.2022.885322/fullIZHMIZHmemristorspiking neuronnetworksassociative memory |
| spellingShingle | Xiaoyan Fang Shukai Duan Lidan Wang Memristive Izhikevich Spiking Neuron Model and Its Application in Oscillatory Associative Memory Frontiers in Neuroscience IZH MIZH memristor spiking neuron networks associative memory |
| title | Memristive Izhikevich Spiking Neuron Model and Its Application in Oscillatory Associative Memory |
| title_full | Memristive Izhikevich Spiking Neuron Model and Its Application in Oscillatory Associative Memory |
| title_fullStr | Memristive Izhikevich Spiking Neuron Model and Its Application in Oscillatory Associative Memory |
| title_full_unstemmed | Memristive Izhikevich Spiking Neuron Model and Its Application in Oscillatory Associative Memory |
| title_short | Memristive Izhikevich Spiking Neuron Model and Its Application in Oscillatory Associative Memory |
| title_sort | memristive izhikevich spiking neuron model and its application in oscillatory associative memory |
| topic | IZH MIZH memristor spiking neuron networks associative memory |
| url | https://www.frontiersin.org/articles/10.3389/fnins.2022.885322/full |
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