Internal cholinergic regulation of learning and recall in a model of olfactory processing
Autor(a) principal: | |
---|---|
Data de Publicação: | 2016 |
Outros Autores: | , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UFRGS |
Texto Completo: | http://hdl.handle.net/10183/159738 |
Resumo: | In the olfactory system, cholinergic modulation has been associated with contrast modulation and changes in receptive fields in the olfactory bulb, as well the learning of odor associations in olfactory cortex. Computational modeling and behavioral studies suggest that cholinergic modulation could improve sensory processing and learning while preventing pro-active interference when task demands are high. However, how sensory inputs and/or learning regulate incoming modulation has not yet been elucidated. We here use a computational model of the olfactory bulb, piriform cortex (PC) and horizontal limb of the diagonal band of Broca (HDB) to explore how olfactory learning could regulate cholinergic inputs to the system in a closed feedback loop. In our model, the novelty of an odor is reflected in firing rates and sparseness of cortical neurons in response to that odor and these firing rates can directly regulate learning in the system by modifying cholinergic inputs to the system. In the model, cholinergic neurons reduce their firing in response to familiar odors—reducing plasticity in the PC, but increase their firing in response to novel odor—increasing PC plasticity. Recordings from HDB neurons in awake behaving rats reflect predictions from the model by showing that a subset of neurons decrease their firing as an odor becomes familiar. |
id |
UFRGS-2_df9c5f46cfbf910c34f1d6a93fd9bca8 |
---|---|
oai_identifier_str |
oai:www.lume.ufrgs.br:10183/159738 |
network_acronym_str |
UFRGS-2 |
network_name_str |
Repositório Institucional da UFRGS |
repository_id_str |
|
spelling |
Almeida, Licurgo Benemann deIdiart, Marco Aurelio PiresDean, OwenDevore, SashaSmith, D. M.Linster, Christiane2017-06-20T02:32:11Z20161662-5102http://hdl.handle.net/10183/159738001022684In the olfactory system, cholinergic modulation has been associated with contrast modulation and changes in receptive fields in the olfactory bulb, as well the learning of odor associations in olfactory cortex. Computational modeling and behavioral studies suggest that cholinergic modulation could improve sensory processing and learning while preventing pro-active interference when task demands are high. However, how sensory inputs and/or learning regulate incoming modulation has not yet been elucidated. We here use a computational model of the olfactory bulb, piriform cortex (PC) and horizontal limb of the diagonal band of Broca (HDB) to explore how olfactory learning could regulate cholinergic inputs to the system in a closed feedback loop. In our model, the novelty of an odor is reflected in firing rates and sparseness of cortical neurons in response to that odor and these firing rates can directly regulate learning in the system by modifying cholinergic inputs to the system. In the model, cholinergic neurons reduce their firing in response to familiar odors—reducing plasticity in the PC, but increase their firing in response to novel odor—increasing PC plasticity. Recordings from HDB neurons in awake behaving rats reflect predictions from the model by showing that a subset of neurons decrease their firing as an odor becomes familiar.application/pdfengFrontiers in Cellular Neuroscience. Lausanne. Vol. 10 (Nov. 2016), 256, 14 p.AcetilcolinaBulbo olfatórioNeurônios colinérgicosInterneurôniosRedes neuraisAcetylcholine,Olfactory bulbOlfactory cortexRegulationLearningMemoryInternal cholinergic regulation of learning and recall in a model of olfactory processingEstrangeiroinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da UFRGSinstname:Universidade Federal do Rio Grande do Sul (UFRGS)instacron:UFRGSORIGINAL001022684.pdf001022684.pdfTexto completo (inglês)application/pdf2250728http://www.lume.ufrgs.br/bitstream/10183/159738/1/001022684.pdf9328249bee7ea7242f04742ee654f19cMD51TEXT001022684.pdf.txt001022684.pdf.txtExtracted Texttext/plain72730http://www.lume.ufrgs.br/bitstream/10183/159738/2/001022684.pdf.txt1383c8ae5e5ab32f385f1dbfc23cdb68MD52THUMBNAIL001022684.pdf.jpg001022684.pdf.jpgGenerated Thumbnailimage/jpeg1954http://www.lume.ufrgs.br/bitstream/10183/159738/3/001022684.pdf.jpgafd5c7dfe7c319945afc68898ad96765MD5310183/1597382023-10-28 03:33:44.058539oai:www.lume.ufrgs.br:10183/159738Repositório de PublicaçõesPUBhttps://lume.ufrgs.br/oai/requestopendoar:2023-10-28T06:33:44Repositório Institucional da UFRGS - Universidade Federal do Rio Grande do Sul (UFRGS)false |
dc.title.pt_BR.fl_str_mv |
Internal cholinergic regulation of learning and recall in a model of olfactory processing |
title |
Internal cholinergic regulation of learning and recall in a model of olfactory processing |
spellingShingle |
Internal cholinergic regulation of learning and recall in a model of olfactory processing Almeida, Licurgo Benemann de Acetilcolina Bulbo olfatório Neurônios colinérgicos Interneurônios Redes neurais Acetylcholine, Olfactory bulb Olfactory cortex Regulation Learning Memory |
title_short |
Internal cholinergic regulation of learning and recall in a model of olfactory processing |
title_full |
Internal cholinergic regulation of learning and recall in a model of olfactory processing |
title_fullStr |
Internal cholinergic regulation of learning and recall in a model of olfactory processing |
title_full_unstemmed |
Internal cholinergic regulation of learning and recall in a model of olfactory processing |
title_sort |
Internal cholinergic regulation of learning and recall in a model of olfactory processing |
author |
Almeida, Licurgo Benemann de |
author_facet |
Almeida, Licurgo Benemann de Idiart, Marco Aurelio Pires Dean, Owen Devore, Sasha Smith, D. M. Linster, Christiane |
author_role |
author |
author2 |
Idiart, Marco Aurelio Pires Dean, Owen Devore, Sasha Smith, D. M. Linster, Christiane |
author2_role |
author author author author author |
dc.contributor.author.fl_str_mv |
Almeida, Licurgo Benemann de Idiart, Marco Aurelio Pires Dean, Owen Devore, Sasha Smith, D. M. Linster, Christiane |
dc.subject.por.fl_str_mv |
Acetilcolina Bulbo olfatório Neurônios colinérgicos Interneurônios Redes neurais |
topic |
Acetilcolina Bulbo olfatório Neurônios colinérgicos Interneurônios Redes neurais Acetylcholine, Olfactory bulb Olfactory cortex Regulation Learning Memory |
dc.subject.eng.fl_str_mv |
Acetylcholine, Olfactory bulb Olfactory cortex Regulation Learning Memory |
description |
In the olfactory system, cholinergic modulation has been associated with contrast modulation and changes in receptive fields in the olfactory bulb, as well the learning of odor associations in olfactory cortex. Computational modeling and behavioral studies suggest that cholinergic modulation could improve sensory processing and learning while preventing pro-active interference when task demands are high. However, how sensory inputs and/or learning regulate incoming modulation has not yet been elucidated. We here use a computational model of the olfactory bulb, piriform cortex (PC) and horizontal limb of the diagonal band of Broca (HDB) to explore how olfactory learning could regulate cholinergic inputs to the system in a closed feedback loop. In our model, the novelty of an odor is reflected in firing rates and sparseness of cortical neurons in response to that odor and these firing rates can directly regulate learning in the system by modifying cholinergic inputs to the system. In the model, cholinergic neurons reduce their firing in response to familiar odors—reducing plasticity in the PC, but increase their firing in response to novel odor—increasing PC plasticity. Recordings from HDB neurons in awake behaving rats reflect predictions from the model by showing that a subset of neurons decrease their firing as an odor becomes familiar. |
publishDate |
2016 |
dc.date.issued.fl_str_mv |
2016 |
dc.date.accessioned.fl_str_mv |
2017-06-20T02:32:11Z |
dc.type.driver.fl_str_mv |
Estrangeiro 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://hdl.handle.net/10183/159738 |
dc.identifier.issn.pt_BR.fl_str_mv |
1662-5102 |
dc.identifier.nrb.pt_BR.fl_str_mv |
001022684 |
identifier_str_mv |
1662-5102 001022684 |
url |
http://hdl.handle.net/10183/159738 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.ispartof.pt_BR.fl_str_mv |
Frontiers in Cellular Neuroscience. Lausanne. Vol. 10 (Nov. 2016), 256, 14 p. |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.source.none.fl_str_mv |
reponame:Repositório Institucional da UFRGS instname:Universidade Federal do Rio Grande do Sul (UFRGS) instacron:UFRGS |
instname_str |
Universidade Federal do Rio Grande do Sul (UFRGS) |
instacron_str |
UFRGS |
institution |
UFRGS |
reponame_str |
Repositório Institucional da UFRGS |
collection |
Repositório Institucional da UFRGS |
bitstream.url.fl_str_mv |
http://www.lume.ufrgs.br/bitstream/10183/159738/1/001022684.pdf http://www.lume.ufrgs.br/bitstream/10183/159738/2/001022684.pdf.txt http://www.lume.ufrgs.br/bitstream/10183/159738/3/001022684.pdf.jpg |
bitstream.checksum.fl_str_mv |
9328249bee7ea7242f04742ee654f19c 1383c8ae5e5ab32f385f1dbfc23cdb68 afd5c7dfe7c319945afc68898ad96765 |
bitstream.checksumAlgorithm.fl_str_mv |
MD5 MD5 MD5 |
repository.name.fl_str_mv |
Repositório Institucional da UFRGS - Universidade Federal do Rio Grande do Sul (UFRGS) |
repository.mail.fl_str_mv |
|
_version_ |
1798487344313008128 |