Cooperative behavior in a jump diffusion model for a simple network of spiking neurons
The distribution of time intervals between successivespikes generated by a neuronal cell --the interspike intervals(ISI)-- may reveal interesting features of the underlyingdynamics. In this study we analyze the ISI sequence --thespike train-- generated by a simple network of neurons whose outputacti...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
AIMS Press
2013-09-01
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| Series: | Mathematical Biosciences and Engineering |
| Subjects: | |
| Online Access: | https://www.aimspress.com/article/doi/10.3934/mbe.2014.11.385 |
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| Summary: | The distribution of time intervals between successivespikes generated by a neuronal cell --the interspike intervals(ISI)-- may reveal interesting features of the underlyingdynamics. In this study we analyze the ISI sequence --thespike train-- generated by a simple network of neurons whose outputactivity is modeled by a jump-diffusion process. We prove that,when specific ranges of the involved parameters are chosen, it is possible toobserve multimodal ISI distributions which reveal that the modelednetwork fires with more than one single preferred time interval.Furthermore, the system exhibits resonance behavior, withmodulation of the spike timings by the noise intensity. We also show that inhibition helps the signal transmission between theunits of the simple network. |
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| ISSN: | 1551-0018 |