Behavior of a Model for Feedback-Controlled Reverberating Circuit and Immediate Memory Function

Detalhes bibliográficos
Autor(a) principal: RODRIGUES,V. F.
Data de Publicação: 2020
Outros Autores: WEDEMANN,R. S., CASTRO,M. C. S. DE, SILVA,D., CORTEZ,C. M.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: TEMA (Sociedade Brasileira de Matemática Aplicada e Computacional. Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2179-84512020000300601
Resumo: ABSTRACT In this work we implement a mathematical model of synaptic transmission connecting neurons in a circuit of reverberating discharges in order to investigate its behavior in front of parametric variations. Using a program developed in C language, we verified if this model would behave as short-term memory circuit. In the simulation, we used neural parametric values from experimental measures in animal. Our model was able to reproduce polysynaptic activity of a neuronal group of rat brain (looping time of about 102 ms). On the other hand, we verified that the inhibitory feedback synapses in circuit with weight varying with presynaptic firing time and frequency are capable to change the circuit characteristic to reproduce the typical behavior of neural circuits. The results suggest that, differently from some recent considerations, the reverberating circuit model has great potential to reproduce the typical behavior of neural circuits and could be seen as a possible model for immediate memory.
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spelling Behavior of a Model for Feedback-Controlled Reverberating Circuit and Immediate Memory Functionmodelingsynaptic transmissionshort-term memorycomputer simulationABSTRACT In this work we implement a mathematical model of synaptic transmission connecting neurons in a circuit of reverberating discharges in order to investigate its behavior in front of parametric variations. Using a program developed in C language, we verified if this model would behave as short-term memory circuit. In the simulation, we used neural parametric values from experimental measures in animal. Our model was able to reproduce polysynaptic activity of a neuronal group of rat brain (looping time of about 102 ms). On the other hand, we verified that the inhibitory feedback synapses in circuit with weight varying with presynaptic firing time and frequency are capable to change the circuit characteristic to reproduce the typical behavior of neural circuits. The results suggest that, differently from some recent considerations, the reverberating circuit model has great potential to reproduce the typical behavior of neural circuits and could be seen as a possible model for immediate memory.Sociedade Brasileira de Matemática Aplicada e Computacional2020-12-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S2179-84512020000300601TEMA (São Carlos) v.21 n.3 2020reponame:TEMA (Sociedade Brasileira de Matemática Aplicada e Computacional. Online)instname:Sociedade Brasileira de Matemática Aplicada e Computacionalinstacron:SBMAC10.5540/tema.2020.021.03.0601info:eu-repo/semantics/openAccessRODRIGUES,V. F.WEDEMANN,R. S.CASTRO,M. C. S. DESILVA,D.CORTEZ,C. M.eng2020-11-27T00:00:00Zoai:scielo:S2179-84512020000300601Revistahttp://www.scielo.br/temaPUBhttps://old.scielo.br/oai/scielo-oai.phpcastelo@icmc.usp.br2179-84511677-1966opendoar:2020-11-27T00:00TEMA (Sociedade Brasileira de Matemática Aplicada e Computacional. Online) - Sociedade Brasileira de Matemática Aplicada e Computacionalfalse
dc.title.none.fl_str_mv Behavior of a Model for Feedback-Controlled Reverberating Circuit and Immediate Memory Function
title Behavior of a Model for Feedback-Controlled Reverberating Circuit and Immediate Memory Function
spellingShingle Behavior of a Model for Feedback-Controlled Reverberating Circuit and Immediate Memory Function
RODRIGUES,V. F.
modeling
synaptic transmission
short-term memory
computer simulation
title_short Behavior of a Model for Feedback-Controlled Reverberating Circuit and Immediate Memory Function
title_full Behavior of a Model for Feedback-Controlled Reverberating Circuit and Immediate Memory Function
title_fullStr Behavior of a Model for Feedback-Controlled Reverberating Circuit and Immediate Memory Function
title_full_unstemmed Behavior of a Model for Feedback-Controlled Reverberating Circuit and Immediate Memory Function
title_sort Behavior of a Model for Feedback-Controlled Reverberating Circuit and Immediate Memory Function
author RODRIGUES,V. F.
author_facet RODRIGUES,V. F.
WEDEMANN,R. S.
CASTRO,M. C. S. DE
SILVA,D.
CORTEZ,C. M.
author_role author
author2 WEDEMANN,R. S.
CASTRO,M. C. S. DE
SILVA,D.
CORTEZ,C. M.
author2_role author
author
author
author
dc.contributor.author.fl_str_mv RODRIGUES,V. F.
WEDEMANN,R. S.
CASTRO,M. C. S. DE
SILVA,D.
CORTEZ,C. M.
dc.subject.por.fl_str_mv modeling
synaptic transmission
short-term memory
computer simulation
topic modeling
synaptic transmission
short-term memory
computer simulation
description ABSTRACT In this work we implement a mathematical model of synaptic transmission connecting neurons in a circuit of reverberating discharges in order to investigate its behavior in front of parametric variations. Using a program developed in C language, we verified if this model would behave as short-term memory circuit. In the simulation, we used neural parametric values from experimental measures in animal. Our model was able to reproduce polysynaptic activity of a neuronal group of rat brain (looping time of about 102 ms). On the other hand, we verified that the inhibitory feedback synapses in circuit with weight varying with presynaptic firing time and frequency are capable to change the circuit characteristic to reproduce the typical behavior of neural circuits. The results suggest that, differently from some recent considerations, the reverberating circuit model has great potential to reproduce the typical behavior of neural circuits and could be seen as a possible model for immediate memory.
publishDate 2020
dc.date.none.fl_str_mv 2020-12-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2179-84512020000300601
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2179-84512020000300601
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.5540/tema.2020.021.03.0601
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Sociedade Brasileira de Matemática Aplicada e Computacional
publisher.none.fl_str_mv Sociedade Brasileira de Matemática Aplicada e Computacional
dc.source.none.fl_str_mv TEMA (São Carlos) v.21 n.3 2020
reponame:TEMA (Sociedade Brasileira de Matemática Aplicada e Computacional. Online)
instname:Sociedade Brasileira de Matemática Aplicada e Computacional
instacron:SBMAC
instname_str Sociedade Brasileira de Matemática Aplicada e Computacional
instacron_str SBMAC
institution SBMAC
reponame_str TEMA (Sociedade Brasileira de Matemática Aplicada e Computacional. Online)
collection TEMA (Sociedade Brasileira de Matemática Aplicada e Computacional. Online)
repository.name.fl_str_mv TEMA (Sociedade Brasileira de Matemática Aplicada e Computacional. Online) - Sociedade Brasileira de Matemática Aplicada e Computacional
repository.mail.fl_str_mv castelo@icmc.usp.br
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