The Spiking Neural Network Agent - The Initial Experimental Study

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17310%2F18%3AA2001XEG" target="_blank" >RIV/61988987:17310/18:A2001XEG - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

The Spiking Neural Network Agent - The Initial Experimental Study

Popis výsledku v původním jazyce

The aim of this paper is a proposal of a spiking neural network circuit design continuously modifying synaptic strengths between neurons through the spike-timing-dependent plasticity to fulfil the agent objective. The network consists of Izhikevich neurons controlling an agent which uses three sensors to associate obstacles to the defined classes in its environment. The environment is formed as a torus of revolution. The reinforcement of synapses of the control network is based on the spike-timing-dependent plasticity (STDP), which is modulated by extracellular dopamine. The controlled agent may perform four different output actions: move forward,turn left, turn right, and release repulse beacon to avoid all obstacles with a negative impact on the agent. The testing environment has been populated with obstacles randomly placed in the torus. Experiments confirmed that the agent is able to associate negative and positive object classes in its environment. The continuation of this work was outlined in the conclusion.

Název v anglickém jazyce

The Spiking Neural Network Agent - The Initial Experimental Study

Popis výsledku anglicky

The aim of this paper is a proposal of a spiking neural network circuit design continuously modifying synaptic strengths between neurons through the spike-timing-dependent plasticity to fulfil the agent objective. The network consists of Izhikevich neurons controlling an agent which uses three sensors to associate obstacles to the defined classes in its environment. The environment is formed as a torus of revolution. The reinforcement of synapses of the control network is based on the spike-timing-dependent plasticity (STDP), which is modulated by extracellular dopamine. The controlled agent may perform four different output actions: move forward,turn left, turn right, and release repulse beacon to avoid all obstacles with a negative impact on the agent. The testing environment has been populated with obstacles randomly placed in the torus. Experiments confirmed that the agent is able to associate negative and positive object classes in its environment. The continuation of this work was outlined in the conclusion.

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

10200 - Computer and information sciences

Projekt

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Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2018

Kód důvěrnosti údajů

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

Název statě ve sborníku

NEUREL 2018

ISBN

978-153866974-7

ISSN

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e-ISSN

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Počet stran výsledku

4

Strana od-do

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Název nakladatele

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Místo vydání

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Místo konání akce

Belgrade, Serbia

Datum konání akce

20. 11. 2018

Typ akce podle státní příslušnosti

EUR - Evropská akce

Kód UT WoS článku

000457745100050