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Modeling inhibitory and excitatory synapse learning in the memristive neuron model
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| dc.contributor.author | Talanov M. | |
| dc.contributor.author | Zykov E. | |
| dc.contributor.author | Erokhi V. | |
| dc.contributor.author | Magid E. | |
| dc.contributor.author | Distefano S. | |
| dc.contributor.author | Gerasimov Y. | |
| dc.contributor.author | Vallverdú J. | |
| dc.date.accessioned | 2018-04-05T07:10:20Z | |
| dc.date.available | 2018-04-05T07:10:20Z | |
| dc.date.issued | 2017 | |
| dc.identifier.uri | http://dspace.kpfu.ru/xmlui/handle/net/130380 | |
| dc.description.abstract | © 2017 by SCITEPRESS - Science and Technology Publications, Lda. All Rights Reserved. In this paper we present the results of simulation of exitatory Hebbian and inhibitory "sombrero" learning of a hardware architecture based on organic memristive elements and operational amplifiers implementing an artificial neuron we recently proposed. This is a first step towards the deployment on robots of a bioplausible simulation, currently developed in the neuro-biologically inspired cognitive architecture (NeuCogAr) implementing basic emotional states or affects in a computational system, in the context of our "Robot dream" project. The long term goal is to re-implement dopamine, serotonin and noradrenaline pathways of NeuCogAr in a memristive hardware. | |
| 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 | Modeling inhibitory and excitatory synapse learning in the memristive neuron model | |
| dc.type | Conference Paper | |
| dc.relation.ispartofseries-volume | 2 | |
| dc.collection | Публикации сотрудников КФУ | |
| dc.relation.startpage | 514 | |
| dc.source.id | SCOPUS-2017-2-SID85029386979 |
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Публикации сотрудников КФУ Scopus [24551]
Коллекция содержит публикации сотрудников Казанского федерального (до 2010 года Казанского государственного) университета, проиндексированные в БД Scopus, начиная с 1970г.