Synchronous dynamics in neural system coupled with memristive synapse
Abstract To study the collective behavior and the regulation mechanism of memristor, the Hindmarsh–Rose neuron cells are selected as the units to construct a coupled system by using the cubic flux-controlled memristor as a connecting synapses, both the firing mode and synchronous behavior in this co...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Xu, Fei [verfasserIn] |
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| Format: |
Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2018 |
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| Schlagwörter: |
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| Anmerkung: |
© Springer Science+Business Media B.V., part of Springer Nature 2018 |
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| Übergeordnetes Werk: |
Enthalten in: Nonlinear dynamics - Springer Netherlands, 1990, 92(2018), 3 vom: 20. Feb., Seite 1395-1402 |
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| Übergeordnetes Werk: |
volume:92 ; year:2018 ; number:3 ; day:20 ; month:02 ; pages:1395-1402 |
| Links: |
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| DOI / URN: |
10.1007/s11071-018-4134-0 |
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OLC205113071X |
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| 520 | |a Abstract To study the collective behavior and the regulation mechanism of memristor, the Hindmarsh–Rose neuron cells are selected as the units to construct a coupled system by using the cubic flux-controlled memristor as a connecting synapses, both the firing mode and synchronous behavior in this coupled system are investigated. In this paper, a coefficient is introduced to describe the effect of electromagnetic induction of membrane potential, and the weights of synaptic connection between cells are selected as an adjustable parameter. We have found that, on the one hand, for the certain external current, the firing pattern of neurons could maintain normal state induced by proper electromagnetic induction, and the transition between different firing states could also be observed. On the other hand, both the synchronous effects could be effectively enhanced and the domain of synchronous parameters could be also expanded by tuning the electromagnetic parameters. Particularly, when the coupled system is in the synchronization state, one can see that the firing behavior of neurons will simultaneously change with the varying of the memristance. The similar phenomenon could also be found by introducing the external stimulus signal with a certain frequency. It means that the plasticity of biological synapses could be effectively mimicked by using the memristive synapse and thus the effective memory function of the memristor to the external stimulus signal may be realized. Above results may not only provide some useful clues for understanding the dynamic behavior of neural system coupled with memristive synapses, but also afford us some inspiration to simulate human brain memory, forgetting or some other functions by using the memristor neural network in the future. | ||
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10.1007/s11071-018-4134-0 doi (DE-627)OLC205113071X (DE-He213)s11071-018-4134-0-p DE-627 ger DE-627 rakwb eng 510 VZ 11 ssgn Xu, Fei verfasserin aut Synchronous dynamics in neural system coupled with memristive synapse 2018 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer Science+Business Media B.V., part of Springer Nature 2018 Abstract To study the collective behavior and the regulation mechanism of memristor, the Hindmarsh–Rose neuron cells are selected as the units to construct a coupled system by using the cubic flux-controlled memristor as a connecting synapses, both the firing mode and synchronous behavior in this coupled system are investigated. In this paper, a coefficient is introduced to describe the effect of electromagnetic induction of membrane potential, and the weights of synaptic connection between cells are selected as an adjustable parameter. We have found that, on the one hand, for the certain external current, the firing pattern of neurons could maintain normal state induced by proper electromagnetic induction, and the transition between different firing states could also be observed. On the other hand, both the synchronous effects could be effectively enhanced and the domain of synchronous parameters could be also expanded by tuning the electromagnetic parameters. Particularly, when the coupled system is in the synchronization state, one can see that the firing behavior of neurons will simultaneously change with the varying of the memristance. The similar phenomenon could also be found by introducing the external stimulus signal with a certain frequency. It means that the plasticity of biological synapses could be effectively mimicked by using the memristive synapse and thus the effective memory function of the memristor to the external stimulus signal may be realized. Above results may not only provide some useful clues for understanding the dynamic behavior of neural system coupled with memristive synapses, but also afford us some inspiration to simulate human brain memory, forgetting or some other functions by using the memristor neural network in the future. Memristive synapse HR neuron Electromagnetic induction Synchronous dynamics Firing pattern transition Zhang, Jiqian aut Fang, Tingting aut Huang, Shoufang aut Wang, Maosheng aut Enthalten in Nonlinear dynamics Springer Netherlands, 1990 92(2018), 3 vom: 20. Feb., Seite 1395-1402 (DE-627)130936782 (DE-600)1058624-6 (DE-576)034188126 0924-090X nnns volume:92 year:2018 number:3 day:20 month:02 pages:1395-1402 https://doi.org/10.1007/s11071-018-4134-0 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC SSG-OLC-PHY SSG-OLC-CHE SSG-OLC-MAT SSG-OPC-MAT GBV_ILN_70 AR 92 2018 3 20 02 1395-1402 |
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10.1007/s11071-018-4134-0 doi (DE-627)OLC205113071X (DE-He213)s11071-018-4134-0-p DE-627 ger DE-627 rakwb eng 510 VZ 11 ssgn Xu, Fei verfasserin aut Synchronous dynamics in neural system coupled with memristive synapse 2018 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer Science+Business Media B.V., part of Springer Nature 2018 Abstract To study the collective behavior and the regulation mechanism of memristor, the Hindmarsh–Rose neuron cells are selected as the units to construct a coupled system by using the cubic flux-controlled memristor as a connecting synapses, both the firing mode and synchronous behavior in this coupled system are investigated. In this paper, a coefficient is introduced to describe the effect of electromagnetic induction of membrane potential, and the weights of synaptic connection between cells are selected as an adjustable parameter. We have found that, on the one hand, for the certain external current, the firing pattern of neurons could maintain normal state induced by proper electromagnetic induction, and the transition between different firing states could also be observed. On the other hand, both the synchronous effects could be effectively enhanced and the domain of synchronous parameters could be also expanded by tuning the electromagnetic parameters. Particularly, when the coupled system is in the synchronization state, one can see that the firing behavior of neurons will simultaneously change with the varying of the memristance. The similar phenomenon could also be found by introducing the external stimulus signal with a certain frequency. It means that the plasticity of biological synapses could be effectively mimicked by using the memristive synapse and thus the effective memory function of the memristor to the external stimulus signal may be realized. Above results may not only provide some useful clues for understanding the dynamic behavior of neural system coupled with memristive synapses, but also afford us some inspiration to simulate human brain memory, forgetting or some other functions by using the memristor neural network in the future. Memristive synapse HR neuron Electromagnetic induction Synchronous dynamics Firing pattern transition Zhang, Jiqian aut Fang, Tingting aut Huang, Shoufang aut Wang, Maosheng aut Enthalten in Nonlinear dynamics Springer Netherlands, 1990 92(2018), 3 vom: 20. Feb., Seite 1395-1402 (DE-627)130936782 (DE-600)1058624-6 (DE-576)034188126 0924-090X nnns volume:92 year:2018 number:3 day:20 month:02 pages:1395-1402 https://doi.org/10.1007/s11071-018-4134-0 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC SSG-OLC-PHY SSG-OLC-CHE SSG-OLC-MAT SSG-OPC-MAT GBV_ILN_70 AR 92 2018 3 20 02 1395-1402 |
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10.1007/s11071-018-4134-0 doi (DE-627)OLC205113071X (DE-He213)s11071-018-4134-0-p DE-627 ger DE-627 rakwb eng 510 VZ 11 ssgn Xu, Fei verfasserin aut Synchronous dynamics in neural system coupled with memristive synapse 2018 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer Science+Business Media B.V., part of Springer Nature 2018 Abstract To study the collective behavior and the regulation mechanism of memristor, the Hindmarsh–Rose neuron cells are selected as the units to construct a coupled system by using the cubic flux-controlled memristor as a connecting synapses, both the firing mode and synchronous behavior in this coupled system are investigated. In this paper, a coefficient is introduced to describe the effect of electromagnetic induction of membrane potential, and the weights of synaptic connection between cells are selected as an adjustable parameter. We have found that, on the one hand, for the certain external current, the firing pattern of neurons could maintain normal state induced by proper electromagnetic induction, and the transition between different firing states could also be observed. On the other hand, both the synchronous effects could be effectively enhanced and the domain of synchronous parameters could be also expanded by tuning the electromagnetic parameters. Particularly, when the coupled system is in the synchronization state, one can see that the firing behavior of neurons will simultaneously change with the varying of the memristance. The similar phenomenon could also be found by introducing the external stimulus signal with a certain frequency. It means that the plasticity of biological synapses could be effectively mimicked by using the memristive synapse and thus the effective memory function of the memristor to the external stimulus signal may be realized. Above results may not only provide some useful clues for understanding the dynamic behavior of neural system coupled with memristive synapses, but also afford us some inspiration to simulate human brain memory, forgetting or some other functions by using the memristor neural network in the future. Memristive synapse HR neuron Electromagnetic induction Synchronous dynamics Firing pattern transition Zhang, Jiqian aut Fang, Tingting aut Huang, Shoufang aut Wang, Maosheng aut Enthalten in Nonlinear dynamics Springer Netherlands, 1990 92(2018), 3 vom: 20. Feb., Seite 1395-1402 (DE-627)130936782 (DE-600)1058624-6 (DE-576)034188126 0924-090X nnns volume:92 year:2018 number:3 day:20 month:02 pages:1395-1402 https://doi.org/10.1007/s11071-018-4134-0 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC SSG-OLC-PHY SSG-OLC-CHE SSG-OLC-MAT SSG-OPC-MAT GBV_ILN_70 AR 92 2018 3 20 02 1395-1402 |
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10.1007/s11071-018-4134-0 doi (DE-627)OLC205113071X (DE-He213)s11071-018-4134-0-p DE-627 ger DE-627 rakwb eng 510 VZ 11 ssgn Xu, Fei verfasserin aut Synchronous dynamics in neural system coupled with memristive synapse 2018 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer Science+Business Media B.V., part of Springer Nature 2018 Abstract To study the collective behavior and the regulation mechanism of memristor, the Hindmarsh–Rose neuron cells are selected as the units to construct a coupled system by using the cubic flux-controlled memristor as a connecting synapses, both the firing mode and synchronous behavior in this coupled system are investigated. In this paper, a coefficient is introduced to describe the effect of electromagnetic induction of membrane potential, and the weights of synaptic connection between cells are selected as an adjustable parameter. We have found that, on the one hand, for the certain external current, the firing pattern of neurons could maintain normal state induced by proper electromagnetic induction, and the transition between different firing states could also be observed. On the other hand, both the synchronous effects could be effectively enhanced and the domain of synchronous parameters could be also expanded by tuning the electromagnetic parameters. Particularly, when the coupled system is in the synchronization state, one can see that the firing behavior of neurons will simultaneously change with the varying of the memristance. The similar phenomenon could also be found by introducing the external stimulus signal with a certain frequency. It means that the plasticity of biological synapses could be effectively mimicked by using the memristive synapse and thus the effective memory function of the memristor to the external stimulus signal may be realized. Above results may not only provide some useful clues for understanding the dynamic behavior of neural system coupled with memristive synapses, but also afford us some inspiration to simulate human brain memory, forgetting or some other functions by using the memristor neural network in the future. Memristive synapse HR neuron Electromagnetic induction Synchronous dynamics Firing pattern transition Zhang, Jiqian aut Fang, Tingting aut Huang, Shoufang aut Wang, Maosheng aut Enthalten in Nonlinear dynamics Springer Netherlands, 1990 92(2018), 3 vom: 20. Feb., Seite 1395-1402 (DE-627)130936782 (DE-600)1058624-6 (DE-576)034188126 0924-090X nnns volume:92 year:2018 number:3 day:20 month:02 pages:1395-1402 https://doi.org/10.1007/s11071-018-4134-0 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC SSG-OLC-PHY SSG-OLC-CHE SSG-OLC-MAT SSG-OPC-MAT GBV_ILN_70 AR 92 2018 3 20 02 1395-1402 |
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10.1007/s11071-018-4134-0 doi (DE-627)OLC205113071X (DE-He213)s11071-018-4134-0-p DE-627 ger DE-627 rakwb eng 510 VZ 11 ssgn Xu, Fei verfasserin aut Synchronous dynamics in neural system coupled with memristive synapse 2018 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer Science+Business Media B.V., part of Springer Nature 2018 Abstract To study the collective behavior and the regulation mechanism of memristor, the Hindmarsh–Rose neuron cells are selected as the units to construct a coupled system by using the cubic flux-controlled memristor as a connecting synapses, both the firing mode and synchronous behavior in this coupled system are investigated. In this paper, a coefficient is introduced to describe the effect of electromagnetic induction of membrane potential, and the weights of synaptic connection between cells are selected as an adjustable parameter. We have found that, on the one hand, for the certain external current, the firing pattern of neurons could maintain normal state induced by proper electromagnetic induction, and the transition between different firing states could also be observed. On the other hand, both the synchronous effects could be effectively enhanced and the domain of synchronous parameters could be also expanded by tuning the electromagnetic parameters. Particularly, when the coupled system is in the synchronization state, one can see that the firing behavior of neurons will simultaneously change with the varying of the memristance. The similar phenomenon could also be found by introducing the external stimulus signal with a certain frequency. It means that the plasticity of biological synapses could be effectively mimicked by using the memristive synapse and thus the effective memory function of the memristor to the external stimulus signal may be realized. Above results may not only provide some useful clues for understanding the dynamic behavior of neural system coupled with memristive synapses, but also afford us some inspiration to simulate human brain memory, forgetting or some other functions by using the memristor neural network in the future. Memristive synapse HR neuron Electromagnetic induction Synchronous dynamics Firing pattern transition Zhang, Jiqian aut Fang, Tingting aut Huang, Shoufang aut Wang, Maosheng aut Enthalten in Nonlinear dynamics Springer Netherlands, 1990 92(2018), 3 vom: 20. Feb., Seite 1395-1402 (DE-627)130936782 (DE-600)1058624-6 (DE-576)034188126 0924-090X nnns volume:92 year:2018 number:3 day:20 month:02 pages:1395-1402 https://doi.org/10.1007/s11071-018-4134-0 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC SSG-OLC-PHY SSG-OLC-CHE SSG-OLC-MAT SSG-OPC-MAT GBV_ILN_70 AR 92 2018 3 20 02 1395-1402 |
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Synchronous dynamics in neural system coupled with memristive synapse |
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Synchronous dynamics in neural system coupled with memristive synapse |
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Xu, Fei |
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Nonlinear dynamics |
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Xu, Fei Zhang, Jiqian Fang, Tingting Huang, Shoufang Wang, Maosheng |
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10.1007/s11071-018-4134-0 |
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synchronous dynamics in neural system coupled with memristive synapse |
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Synchronous dynamics in neural system coupled with memristive synapse |
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Abstract To study the collective behavior and the regulation mechanism of memristor, the Hindmarsh–Rose neuron cells are selected as the units to construct a coupled system by using the cubic flux-controlled memristor as a connecting synapses, both the firing mode and synchronous behavior in this coupled system are investigated. In this paper, a coefficient is introduced to describe the effect of electromagnetic induction of membrane potential, and the weights of synaptic connection between cells are selected as an adjustable parameter. We have found that, on the one hand, for the certain external current, the firing pattern of neurons could maintain normal state induced by proper electromagnetic induction, and the transition between different firing states could also be observed. On the other hand, both the synchronous effects could be effectively enhanced and the domain of synchronous parameters could be also expanded by tuning the electromagnetic parameters. Particularly, when the coupled system is in the synchronization state, one can see that the firing behavior of neurons will simultaneously change with the varying of the memristance. The similar phenomenon could also be found by introducing the external stimulus signal with a certain frequency. It means that the plasticity of biological synapses could be effectively mimicked by using the memristive synapse and thus the effective memory function of the memristor to the external stimulus signal may be realized. Above results may not only provide some useful clues for understanding the dynamic behavior of neural system coupled with memristive synapses, but also afford us some inspiration to simulate human brain memory, forgetting or some other functions by using the memristor neural network in the future. © Springer Science+Business Media B.V., part of Springer Nature 2018 |
| abstractGer |
Abstract To study the collective behavior and the regulation mechanism of memristor, the Hindmarsh–Rose neuron cells are selected as the units to construct a coupled system by using the cubic flux-controlled memristor as a connecting synapses, both the firing mode and synchronous behavior in this coupled system are investigated. In this paper, a coefficient is introduced to describe the effect of electromagnetic induction of membrane potential, and the weights of synaptic connection between cells are selected as an adjustable parameter. We have found that, on the one hand, for the certain external current, the firing pattern of neurons could maintain normal state induced by proper electromagnetic induction, and the transition between different firing states could also be observed. On the other hand, both the synchronous effects could be effectively enhanced and the domain of synchronous parameters could be also expanded by tuning the electromagnetic parameters. Particularly, when the coupled system is in the synchronization state, one can see that the firing behavior of neurons will simultaneously change with the varying of the memristance. The similar phenomenon could also be found by introducing the external stimulus signal with a certain frequency. It means that the plasticity of biological synapses could be effectively mimicked by using the memristive synapse and thus the effective memory function of the memristor to the external stimulus signal may be realized. Above results may not only provide some useful clues for understanding the dynamic behavior of neural system coupled with memristive synapses, but also afford us some inspiration to simulate human brain memory, forgetting or some other functions by using the memristor neural network in the future. © Springer Science+Business Media B.V., part of Springer Nature 2018 |
| abstract_unstemmed |
Abstract To study the collective behavior and the regulation mechanism of memristor, the Hindmarsh–Rose neuron cells are selected as the units to construct a coupled system by using the cubic flux-controlled memristor as a connecting synapses, both the firing mode and synchronous behavior in this coupled system are investigated. In this paper, a coefficient is introduced to describe the effect of electromagnetic induction of membrane potential, and the weights of synaptic connection between cells are selected as an adjustable parameter. We have found that, on the one hand, for the certain external current, the firing pattern of neurons could maintain normal state induced by proper electromagnetic induction, and the transition between different firing states could also be observed. On the other hand, both the synchronous effects could be effectively enhanced and the domain of synchronous parameters could be also expanded by tuning the electromagnetic parameters. Particularly, when the coupled system is in the synchronization state, one can see that the firing behavior of neurons will simultaneously change with the varying of the memristance. The similar phenomenon could also be found by introducing the external stimulus signal with a certain frequency. It means that the plasticity of biological synapses could be effectively mimicked by using the memristive synapse and thus the effective memory function of the memristor to the external stimulus signal may be realized. Above results may not only provide some useful clues for understanding the dynamic behavior of neural system coupled with memristive synapses, but also afford us some inspiration to simulate human brain memory, forgetting or some other functions by using the memristor neural network in the future. © Springer Science+Business Media B.V., part of Springer Nature 2018 |
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Synchronous dynamics in neural system coupled with memristive synapse |
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