KFU. Card publication. The memristive artificial neuron high level architecture for biologically inspired robotic systems.

KAZAN
FEDERAL UNIVERSITY

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THE MEMRISTIVE ARTIFICIAL NEURON HIGH LEVEL ARCHITECTURE FOR BIOLOGICALLY INSPIRED ROBOTIC SYSTEMS.

Form of presentation

Articles in international journals and collections

Year of publication

2017

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Authors, employees of KFU

Distefano Salvatore , author

Erokhin Viktor Vasilevich, author

Talanov Maksim Olegovich, author

Bibliographic description in the original language

M.Talanov, E.Zykov, V.Erokhin, E.Magid, S.Distefano. The memristive artificial neuron high level architecture for biologically inspired robotic systems // Mechanical, System and Control Engineering (ICMSC), 2017 International Conference on, 2017, V.113, pp. 196-200

Annotation

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.

Keywords

artificial neuron, robotic systems

The name of the journal

IEEE Xplore

URL

http://ieeexplore.ieee.org/abstract/document/7959470/?reload=true

Please use this ID to quote from or refer to the card

https://repository.kpfu.ru/eng/?p_id=160194&p_lang=2

Resource files

File name	Size (MB)	Format
2017_The_memristive_artificial_neuron_high_level_architecture_for_biologically_inspired_robotic_systems.pdf	0,35	pdf	show / download

Full metadata record

Field DC	Value	Language
dc.contributor.author	Distefano Salvatore	ru_RU
dc.contributor.author	Erokhin Viktor Vasilevich	ru_RU
dc.contributor.author	Talanov Maksim Olegovich	ru_RU
dc.date.accessioned	2017-01-01T00:00:00Z	ru_RU
dc.date.available	2017-01-01T00:00:00Z	ru_RU
dc.date.issued	2017	ru_RU
dc.identifier.citation	M.Talanov, E.Zykov, V.Erokhin, E.Magid, S.Distefano. The memristive artificial neuron high level architecture for biologically inspired robotic systems // Mechanical, System and Control Engineering (ICMSC), 2017 International Conference on, 2017, V.113, pp. 196-200	ru_RU
dc.identifier.uri	https://repository.kpfu.ru/eng/?p_id=160194&p_lang=2	ru_RU
dc.description.abstract	IEEE Xplore	ru_RU
dc.description.abstract	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.	ru_RU
dc.language.iso	ru	ru_RU
dc.subject	artificial neuron	ru_RU
dc.subject	robotic systems	ru_RU
dc.title	The memristive artificial neuron high level architecture for biologically inspired robotic systems.	ru_RU
dc.type	Articles in international journals and collections	ru_RU