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dc.contributor.author | Talanov M. | |
dc.contributor.author | Zykov E. | |
dc.contributor.author | Erokhin V. | |
dc.contributor.author | Magid E. | |
dc.contributor.author | Distefano S. | |
dc.date.accessioned | 2018-04-05T07:10:27Z | |
dc.date.available | 2018-04-05T07:10:27Z | |
dc.date.issued | 2017 | |
dc.identifier.uri | http://dspace.kpfu.ru/xmlui/handle/net/130454 | |
dc.description.abstract | © 2017 IEEE. In this paper we propose a new hardware architecture for the implementation of an artificial neuron based on organic memristive elements and operational amplifiers. This architecture is proposed as a possible solution for the integration and deployment of the cluster based bio- realistic simulation of a mammalian brain into a robotic system. Originally, this simulation has been developed through a neuro-biologically inspired cognitive architecture (NeuCogAr) re-implementing basic emotional states or affects in a computational system. This way, the dopamine, serotonin and noradrenaline pathways developed in NeuCogAr are synthesized through hardware memristors suitable for the implementation of basic emotional states or affects on a biologically inspired robotic system. | |
dc.subject | affects | |
dc.subject | artificial neuron | |
dc.subject | biologically inspired robotic system | |
dc.subject | circuits | |
dc.subject | Cognitive architecture | |
dc.subject | memristive elements | |
dc.title | The memristive artificial neuron high level architecture for biologically inspired robotic systems | |
dc.type | Conference Paper | |
dc.collection | Публикации сотрудников КФУ | |
dc.relation.startpage | 196 | |
dc.source.id | SCOPUS-2017-SID85025836160 |