Behavior of a Model for Feedback-Controlled Reverberating Circuit and Immediate Memory Function
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Outros Autores: | , , , |
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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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 |
_version_ |
1752122220702859264 |