Neural information coding on small-world spiking neuronal networks modulated by spike-timing-dependent plasticity under external noise stimulation
Abstract Neural information coding is the fundamental of information processing mechanism in biological neural network. The study of neural information coding can help to understand the function of information processing in biological neural network and lay the theoretical foundation for improving b...
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| Autor*in: |
Guo, Lei [verfasserIn] |
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| Format: |
Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2017 |
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| Schlagwörter: |
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| Anmerkung: |
© Springer Science+Business Media, LLC 2017 |
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| Übergeordnetes Werk: |
Enthalten in: Cluster computing - Springer US, 1998, 22(2017), Suppl 3 vom: 19. Sept., Seite 5217-5231 |
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| Übergeordnetes Werk: |
volume:22 ; year:2017 ; number:Suppl 3 ; day:19 ; month:09 ; pages:5217-5231 |
| Links: |
|---|
| DOI / URN: |
10.1007/s10586-017-1188-6 |
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| Katalog-ID: |
OLC2066402079 |
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| 245 | 1 | 0 | |a Neural information coding on small-world spiking neuronal networks modulated by spike-timing-dependent plasticity under external noise stimulation |
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| 520 | |a Abstract Neural information coding is the fundamental of information processing mechanism in biological neural network. The study of neural information coding can help to understand the function of information processing in biological neural network and lay the theoretical foundation for improving bionic ability. As the abstract of a large number of real complex systems, small-world networks have the properties of biological neural networks. However, the neural information coding based on the small-world topology is rarely studied and the information transmission mechanism among the neurons is mostly excitatory regulation mechanism of spike-timing-dependent plasticity (STDP). In this paper, the small-world network is constructed and its properties are analyzed; the small-world spiking neural network based on the more complete STDP including excitatory synapse and inhibitory synapse is constructed; from the angle of firing rate of neurons and the temporal structure of the spike train, the properties of information coding on the small-world spiking neural network under the stimulations of white Gauss noise and impulse noise are analyzed respectively. Our experimental results indicate that under the same stimulation, the responses of the mean rate coding and ISI coding of the small-world network are both enhanced with the increase of stimulation intensity; under different stimulations, the mean rate coding and ISI coding of the small-world network show respective specificity. | ||
| 650 | 4 | |a Spike-timing-dependent plasticity | |
| 650 | 4 | |a Small-world network | |
| 650 | 4 | |a Rate coding | |
| 650 | 4 | |a Temporal coding | |
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| 700 | 1 | |a Zhang, Jialei |4 aut | |
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10.1007/s10586-017-1188-6 doi (DE-627)OLC2066402079 (DE-He213)s10586-017-1188-6-p DE-627 ger DE-627 rakwb eng 004 VZ 54.50$jProgrammierung: Allgemeines bkl 54.32$jRechnerkommunikation bkl 54.25$jParallele Datenverarbeitung bkl Guo, Lei verfasserin aut Neural information coding on small-world spiking neuronal networks modulated by spike-timing-dependent plasticity under external noise stimulation 2017 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer Science+Business Media, LLC 2017 Abstract Neural information coding is the fundamental of information processing mechanism in biological neural network. The study of neural information coding can help to understand the function of information processing in biological neural network and lay the theoretical foundation for improving bionic ability. As the abstract of a large number of real complex systems, small-world networks have the properties of biological neural networks. However, the neural information coding based on the small-world topology is rarely studied and the information transmission mechanism among the neurons is mostly excitatory regulation mechanism of spike-timing-dependent plasticity (STDP). In this paper, the small-world network is constructed and its properties are analyzed; the small-world spiking neural network based on the more complete STDP including excitatory synapse and inhibitory synapse is constructed; from the angle of firing rate of neurons and the temporal structure of the spike train, the properties of information coding on the small-world spiking neural network under the stimulations of white Gauss noise and impulse noise are analyzed respectively. Our experimental results indicate that under the same stimulation, the responses of the mean rate coding and ISI coding of the small-world network are both enhanced with the increase of stimulation intensity; under different stimulations, the mean rate coding and ISI coding of the small-world network show respective specificity. Spike-timing-dependent plasticity Small-world network Rate coding Temporal coding Zhang, Wei aut Zhang, Jialei aut Enthalten in Cluster computing Springer US, 1998 22(2017), Suppl 3 vom: 19. Sept., Seite 5217-5231 (DE-627)265187907 (DE-600)1465290-0 (DE-576)9265187905 1386-7857 nnns volume:22 year:2017 number:Suppl 3 day:19 month:09 pages:5217-5231 https://doi.org/10.1007/s10586-017-1188-6 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-MAT GBV_ILN_70 54.50$jProgrammierung: Allgemeines VZ 181569876 (DE-625)181569876 54.32$jRechnerkommunikation VZ 10640623X (DE-625)10640623X 54.25$jParallele Datenverarbeitung VZ 181569892 (DE-625)181569892 AR 22 2017 Suppl 3 19 09 5217-5231 |
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10.1007/s10586-017-1188-6 doi (DE-627)OLC2066402079 (DE-He213)s10586-017-1188-6-p DE-627 ger DE-627 rakwb eng 004 VZ 54.50$jProgrammierung: Allgemeines bkl 54.32$jRechnerkommunikation bkl 54.25$jParallele Datenverarbeitung bkl Guo, Lei verfasserin aut Neural information coding on small-world spiking neuronal networks modulated by spike-timing-dependent plasticity under external noise stimulation 2017 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer Science+Business Media, LLC 2017 Abstract Neural information coding is the fundamental of information processing mechanism in biological neural network. The study of neural information coding can help to understand the function of information processing in biological neural network and lay the theoretical foundation for improving bionic ability. As the abstract of a large number of real complex systems, small-world networks have the properties of biological neural networks. However, the neural information coding based on the small-world topology is rarely studied and the information transmission mechanism among the neurons is mostly excitatory regulation mechanism of spike-timing-dependent plasticity (STDP). In this paper, the small-world network is constructed and its properties are analyzed; the small-world spiking neural network based on the more complete STDP including excitatory synapse and inhibitory synapse is constructed; from the angle of firing rate of neurons and the temporal structure of the spike train, the properties of information coding on the small-world spiking neural network under the stimulations of white Gauss noise and impulse noise are analyzed respectively. Our experimental results indicate that under the same stimulation, the responses of the mean rate coding and ISI coding of the small-world network are both enhanced with the increase of stimulation intensity; under different stimulations, the mean rate coding and ISI coding of the small-world network show respective specificity. Spike-timing-dependent plasticity Small-world network Rate coding Temporal coding Zhang, Wei aut Zhang, Jialei aut Enthalten in Cluster computing Springer US, 1998 22(2017), Suppl 3 vom: 19. Sept., Seite 5217-5231 (DE-627)265187907 (DE-600)1465290-0 (DE-576)9265187905 1386-7857 nnns volume:22 year:2017 number:Suppl 3 day:19 month:09 pages:5217-5231 https://doi.org/10.1007/s10586-017-1188-6 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-MAT GBV_ILN_70 54.50$jProgrammierung: Allgemeines VZ 181569876 (DE-625)181569876 54.32$jRechnerkommunikation VZ 10640623X (DE-625)10640623X 54.25$jParallele Datenverarbeitung VZ 181569892 (DE-625)181569892 AR 22 2017 Suppl 3 19 09 5217-5231 |
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10.1007/s10586-017-1188-6 doi (DE-627)OLC2066402079 (DE-He213)s10586-017-1188-6-p DE-627 ger DE-627 rakwb eng 004 VZ 54.50$jProgrammierung: Allgemeines bkl 54.32$jRechnerkommunikation bkl 54.25$jParallele Datenverarbeitung bkl Guo, Lei verfasserin aut Neural information coding on small-world spiking neuronal networks modulated by spike-timing-dependent plasticity under external noise stimulation 2017 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer Science+Business Media, LLC 2017 Abstract Neural information coding is the fundamental of information processing mechanism in biological neural network. The study of neural information coding can help to understand the function of information processing in biological neural network and lay the theoretical foundation for improving bionic ability. As the abstract of a large number of real complex systems, small-world networks have the properties of biological neural networks. However, the neural information coding based on the small-world topology is rarely studied and the information transmission mechanism among the neurons is mostly excitatory regulation mechanism of spike-timing-dependent plasticity (STDP). In this paper, the small-world network is constructed and its properties are analyzed; the small-world spiking neural network based on the more complete STDP including excitatory synapse and inhibitory synapse is constructed; from the angle of firing rate of neurons and the temporal structure of the spike train, the properties of information coding on the small-world spiking neural network under the stimulations of white Gauss noise and impulse noise are analyzed respectively. Our experimental results indicate that under the same stimulation, the responses of the mean rate coding and ISI coding of the small-world network are both enhanced with the increase of stimulation intensity; under different stimulations, the mean rate coding and ISI coding of the small-world network show respective specificity. Spike-timing-dependent plasticity Small-world network Rate coding Temporal coding Zhang, Wei aut Zhang, Jialei aut Enthalten in Cluster computing Springer US, 1998 22(2017), Suppl 3 vom: 19. Sept., Seite 5217-5231 (DE-627)265187907 (DE-600)1465290-0 (DE-576)9265187905 1386-7857 nnns volume:22 year:2017 number:Suppl 3 day:19 month:09 pages:5217-5231 https://doi.org/10.1007/s10586-017-1188-6 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-MAT GBV_ILN_70 54.50$jProgrammierung: Allgemeines VZ 181569876 (DE-625)181569876 54.32$jRechnerkommunikation VZ 10640623X (DE-625)10640623X 54.25$jParallele Datenverarbeitung VZ 181569892 (DE-625)181569892 AR 22 2017 Suppl 3 19 09 5217-5231 |
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10.1007/s10586-017-1188-6 doi (DE-627)OLC2066402079 (DE-He213)s10586-017-1188-6-p DE-627 ger DE-627 rakwb eng 004 VZ 54.50$jProgrammierung: Allgemeines bkl 54.32$jRechnerkommunikation bkl 54.25$jParallele Datenverarbeitung bkl Guo, Lei verfasserin aut Neural information coding on small-world spiking neuronal networks modulated by spike-timing-dependent plasticity under external noise stimulation 2017 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer Science+Business Media, LLC 2017 Abstract Neural information coding is the fundamental of information processing mechanism in biological neural network. The study of neural information coding can help to understand the function of information processing in biological neural network and lay the theoretical foundation for improving bionic ability. As the abstract of a large number of real complex systems, small-world networks have the properties of biological neural networks. However, the neural information coding based on the small-world topology is rarely studied and the information transmission mechanism among the neurons is mostly excitatory regulation mechanism of spike-timing-dependent plasticity (STDP). In this paper, the small-world network is constructed and its properties are analyzed; the small-world spiking neural network based on the more complete STDP including excitatory synapse and inhibitory synapse is constructed; from the angle of firing rate of neurons and the temporal structure of the spike train, the properties of information coding on the small-world spiking neural network under the stimulations of white Gauss noise and impulse noise are analyzed respectively. Our experimental results indicate that under the same stimulation, the responses of the mean rate coding and ISI coding of the small-world network are both enhanced with the increase of stimulation intensity; under different stimulations, the mean rate coding and ISI coding of the small-world network show respective specificity. Spike-timing-dependent plasticity Small-world network Rate coding Temporal coding Zhang, Wei aut Zhang, Jialei aut Enthalten in Cluster computing Springer US, 1998 22(2017), Suppl 3 vom: 19. Sept., Seite 5217-5231 (DE-627)265187907 (DE-600)1465290-0 (DE-576)9265187905 1386-7857 nnns volume:22 year:2017 number:Suppl 3 day:19 month:09 pages:5217-5231 https://doi.org/10.1007/s10586-017-1188-6 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-MAT GBV_ILN_70 54.50$jProgrammierung: Allgemeines VZ 181569876 (DE-625)181569876 54.32$jRechnerkommunikation VZ 10640623X (DE-625)10640623X 54.25$jParallele Datenverarbeitung VZ 181569892 (DE-625)181569892 AR 22 2017 Suppl 3 19 09 5217-5231 |
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10.1007/s10586-017-1188-6 doi (DE-627)OLC2066402079 (DE-He213)s10586-017-1188-6-p DE-627 ger DE-627 rakwb eng 004 VZ 54.50$jProgrammierung: Allgemeines bkl 54.32$jRechnerkommunikation bkl 54.25$jParallele Datenverarbeitung bkl Guo, Lei verfasserin aut Neural information coding on small-world spiking neuronal networks modulated by spike-timing-dependent plasticity under external noise stimulation 2017 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer Science+Business Media, LLC 2017 Abstract Neural information coding is the fundamental of information processing mechanism in biological neural network. The study of neural information coding can help to understand the function of information processing in biological neural network and lay the theoretical foundation for improving bionic ability. As the abstract of a large number of real complex systems, small-world networks have the properties of biological neural networks. However, the neural information coding based on the small-world topology is rarely studied and the information transmission mechanism among the neurons is mostly excitatory regulation mechanism of spike-timing-dependent plasticity (STDP). In this paper, the small-world network is constructed and its properties are analyzed; the small-world spiking neural network based on the more complete STDP including excitatory synapse and inhibitory synapse is constructed; from the angle of firing rate of neurons and the temporal structure of the spike train, the properties of information coding on the small-world spiking neural network under the stimulations of white Gauss noise and impulse noise are analyzed respectively. Our experimental results indicate that under the same stimulation, the responses of the mean rate coding and ISI coding of the small-world network are both enhanced with the increase of stimulation intensity; under different stimulations, the mean rate coding and ISI coding of the small-world network show respective specificity. Spike-timing-dependent plasticity Small-world network Rate coding Temporal coding Zhang, Wei aut Zhang, Jialei aut Enthalten in Cluster computing Springer US, 1998 22(2017), Suppl 3 vom: 19. Sept., Seite 5217-5231 (DE-627)265187907 (DE-600)1465290-0 (DE-576)9265187905 1386-7857 nnns volume:22 year:2017 number:Suppl 3 day:19 month:09 pages:5217-5231 https://doi.org/10.1007/s10586-017-1188-6 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-MAT GBV_ILN_70 54.50$jProgrammierung: Allgemeines VZ 181569876 (DE-625)181569876 54.32$jRechnerkommunikation VZ 10640623X (DE-625)10640623X 54.25$jParallele Datenverarbeitung VZ 181569892 (DE-625)181569892 AR 22 2017 Suppl 3 19 09 5217-5231 |
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| author |
Guo, Lei |
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neural information coding on small-world spiking neuronal networks modulated by spike-timing-dependent plasticity under external noise stimulation |
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Neural information coding on small-world spiking neuronal networks modulated by spike-timing-dependent plasticity under external noise stimulation |
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Abstract Neural information coding is the fundamental of information processing mechanism in biological neural network. The study of neural information coding can help to understand the function of information processing in biological neural network and lay the theoretical foundation for improving bionic ability. As the abstract of a large number of real complex systems, small-world networks have the properties of biological neural networks. However, the neural information coding based on the small-world topology is rarely studied and the information transmission mechanism among the neurons is mostly excitatory regulation mechanism of spike-timing-dependent plasticity (STDP). In this paper, the small-world network is constructed and its properties are analyzed; the small-world spiking neural network based on the more complete STDP including excitatory synapse and inhibitory synapse is constructed; from the angle of firing rate of neurons and the temporal structure of the spike train, the properties of information coding on the small-world spiking neural network under the stimulations of white Gauss noise and impulse noise are analyzed respectively. Our experimental results indicate that under the same stimulation, the responses of the mean rate coding and ISI coding of the small-world network are both enhanced with the increase of stimulation intensity; under different stimulations, the mean rate coding and ISI coding of the small-world network show respective specificity. © Springer Science+Business Media, LLC 2017 |
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Abstract Neural information coding is the fundamental of information processing mechanism in biological neural network. The study of neural information coding can help to understand the function of information processing in biological neural network and lay the theoretical foundation for improving bionic ability. As the abstract of a large number of real complex systems, small-world networks have the properties of biological neural networks. However, the neural information coding based on the small-world topology is rarely studied and the information transmission mechanism among the neurons is mostly excitatory regulation mechanism of spike-timing-dependent plasticity (STDP). In this paper, the small-world network is constructed and its properties are analyzed; the small-world spiking neural network based on the more complete STDP including excitatory synapse and inhibitory synapse is constructed; from the angle of firing rate of neurons and the temporal structure of the spike train, the properties of information coding on the small-world spiking neural network under the stimulations of white Gauss noise and impulse noise are analyzed respectively. Our experimental results indicate that under the same stimulation, the responses of the mean rate coding and ISI coding of the small-world network are both enhanced with the increase of stimulation intensity; under different stimulations, the mean rate coding and ISI coding of the small-world network show respective specificity. © Springer Science+Business Media, LLC 2017 |
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Abstract Neural information coding is the fundamental of information processing mechanism in biological neural network. The study of neural information coding can help to understand the function of information processing in biological neural network and lay the theoretical foundation for improving bionic ability. As the abstract of a large number of real complex systems, small-world networks have the properties of biological neural networks. However, the neural information coding based on the small-world topology is rarely studied and the information transmission mechanism among the neurons is mostly excitatory regulation mechanism of spike-timing-dependent plasticity (STDP). In this paper, the small-world network is constructed and its properties are analyzed; the small-world spiking neural network based on the more complete STDP including excitatory synapse and inhibitory synapse is constructed; from the angle of firing rate of neurons and the temporal structure of the spike train, the properties of information coding on the small-world spiking neural network under the stimulations of white Gauss noise and impulse noise are analyzed respectively. Our experimental results indicate that under the same stimulation, the responses of the mean rate coding and ISI coding of the small-world network are both enhanced with the increase of stimulation intensity; under different stimulations, the mean rate coding and ISI coding of the small-world network show respective specificity. © Springer Science+Business Media, LLC 2017 |
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