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 |
|