The application perspective of izhikevich spiking neural model - the initial experimental study

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17310%2F19%3AA2001XEA" target="_blank" >RIV/61988987:17310/19:A2001XEA - isvavai.cz</a>
Result on the web
<a href="https://link.springer.com/chapter/10.1007/978-3-319-97888-8_19" target="_blank" >https://link.springer.com/chapter/10.1007/978-3-319-97888-8_19</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-97888-8_19" target="_blank" >10.1007/978-3-319-97888-8_19</a>

Result language
angličtina
Original language name
The application perspective of izhikevich spiking neural model - the initial experimental study
Original language description
In this paper we explore the Izhikevich spiking neuron model especially the synergy of the dimensionless model parameters and their implications to the spiking of the neuron itself. This spiking, principally the spike rate, is highly important from the application point of view. The understanding of the model is useful for better spiking network design, when the input neuronal stimulus is transferred to the spikes in order to produce faster network response. Whereas we can achieve the better neuronal response of the spiking network through utilization of the correct model parameters which impact to the neurons and the network neuronal dynamics significantly. The model parameters setup were described, demonstrated and spiking neuron model output and behaviour examined. The influence of the input current was also described in a given experimental study.
Czech name
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Czech description
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Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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