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

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

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

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

10200 - Computer and information sciences

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2019

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Advances in Intelligent Systems and Computing

ISBN

978-331997887-1

ISSN

2194-5357

e-ISSN

—

Počet stran výsledku

10

Strana od-do

223-232

Název nakladatele

Springer Verlag

Místo vydání

Switzerland

Místo konání akce

Brno, Czech Republic

Datum konání akce

20. 6. 2017

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

—