KFU. Card publication. Simulation of a fear-like state on a model of dopamine system of rat brain

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FEDERAL UNIVERSITY

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SIMULATION OF A FEAR-LIKE STATE ON A MODEL OF DOPAMINE SYSTEM OF RAT BRAIN

Form of presentation

Conference proceedings in international journals and collections

Year of publication

2016

Язык

английский

Authors, employees of KFU

Leukhin Aleksey Dmitrievich, author

Sozutov Ilya Georgievich, author

Talanov Maksim Olegovich, author

Toshhev Aleksandr Sergeevich, author

Other authors

Vallverdú Jordi , author

Authors, postgraduates KFU

Sozutov Ilya Georgievich, postgraduate kfu

Toshhev Aleksandr Sergeevich, postgraduate kfu

Authors, students KFU

Leukhin Aleksey Dmitrievich, author

Bibliographic description in the original language

Simulation of a Fear-like State on a Model of Dopamine System of Rat Brain [Text] / A. Leukhin, M. Talanov, I. Sozutov [et al.] // Biologically Inspired Cognitive Architectures (BICA) for Young Scientists / ed. A. V. Samsonovich, V. V. Klimov, G. V. Rybina. — Cham: Springer International Publishing, 2016. — P.121-126. — DOI: 10.1007/978-3-319-32554-5_16 (Advances in Intelligent Systems and Computing. Vol. 449)

Annotation

Advances in Intelligent Systems and Computing

Keywords

affective computing, bio-plausible simulation, Artificial intelligence, Dopamine, Emotion modeling, Fear, Neuromodulation, Rat brain

The name of the journal

Advances in Intelligent Systems and Computing

URL

https://www.scopus.com/inward/record.uri?eid=2-s2.0-84964000586&partnerID=40&md5=a56e7e4e8ab9994649b59deaeae7882a

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

https://repository.kpfu.ru/eng/?p_id=138217&p_lang=2

Full metadata record

Field DC	Value	Language
dc.contributor.author	Leukhin Aleksey Dmitrievich	ru_RU
dc.contributor.author	Sozutov Ilya Georgievich	ru_RU
dc.contributor.author	Talanov Maksim Olegovich	ru_RU
dc.contributor.author	Toshhev Aleksandr Sergeevich	ru_RU
dc.contributor.author	Vallverdú Jordi	ru_RU
dc.contributor.author	Leukhin Aleksey Dmitrievich	ru_RU
dc.contributor.author	Sozutov Ilya Georgievich	ru_RU
dc.contributor.author	Toshhev Aleksandr Sergeevich	ru_RU
dc.date.accessioned	2016-01-01T00:00:00Z	ru_RU
dc.date.available	2016-01-01T00:00:00Z	ru_RU
dc.date.issued	2016	ru_RU
dc.identifier.citation	Simulation of a Fear-like State on a Model of Dopamine System of Rat Brain [Text] / A. Leukhin, M. Talanov, I. Sozutov [et al.] // Biologically Inspired Cognitive Architectures (BICA) for Young Scientists / ed. A. V. Samsonovich, V. V. Klimov, G. V. Rybina. — Cham: Springer International Publishing, 2016. — P.121-126. — DOI: 10.1007/978-3-319-32554-5_16 (Advances in Intelligent Systems and Computing. Vol. 449)	ru_RU
dc.identifier.uri	https://repository.kpfu.ru/eng/?p_id=138217&p_lang=2	ru_RU
dc.description.abstract	Advances in Intelligent Systems and Computing	ru_RU
dc.description.abstract	In this paper we present the following hypothesis: the neuromodulatory mechanisms that control the emotional states of mammals could be translated and re-implemented in a computer by means of controlling the computational performance of a hosted computational system. In our specific implementation we represent the simulation of the fear-like state based on the three dimensional neuromodulatory model of affects (here the basic emotional inborn states) that we have inherited from works of Hugo L¨ovheim. We have managed to simulate 1000 ms of work of the dopamine system using NEST Neural Simulation Tool and the rat brain as the model. We also present the results of that simulation and evaluate them to validate the overall correctness of our hypothesis.	ru_RU
dc.language.iso	ru	ru_RU
dc.subject	affective computing	ru_RU
dc.subject	bio-plausible simulation	ru_RU
dc.subject	Artificial intelligence	ru_RU
dc.subject	Dopamine	ru_RU
dc.subject	Emotion modeling	ru_RU
dc.subject	Fear	ru_RU
dc.subject	Neuromodulation	ru_RU
dc.subject	Rat brain	ru_RU
dc.title	Simulation of a fear-like state on a model of dopamine system of rat brain	ru_RU
dc.type	Conference proceedings in international journals and collections	ru_RU