Spike transmission between electrically coupled sensory neurons is improved by filter properties.
Resumen:
In the nervous system, neurons are organized in networks by way of connections constituted by chemical and electrical synapses. We use biological and mathematical models to study electrical synaptic communication and its determinants. In particular, we show how non-synaptic components of a neural circuit generate a band-pass filter behavior and shape action potential transmission between neurons of the mesencephalic trigeminal (MesV) nucleus of rodents. The dynamic modulation of these properties could be used as an inspiration for artificial neural networks with electrical synapses.
| 2020 | |
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Mathematical model Transfer functions Band-pass filters Junctions Synapses Neural networks Electrical synapses Filters |
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| Inglés | |
| Universidad de la República | |
| COLIBRI | |
| https://hdl.handle.net/20.500.12008/25429 | |
| Acceso abierto | |
| Licencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0) |
| _version_ | 1807522896503898112 |
|---|---|
| author | Davoine, Federico |
| author2 | Curti, Sebastián Monzón, Pablo |
| author2_role | author author |
| author_facet | Davoine, Federico Curti, Sebastián Monzón, Pablo |
| author_role | author |
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| collection | COLIBRI |
| dc.contributor.filiacion.none.fl_str_mv | Davoine Federico, Universidad de la República (Uruguay). Facultad de Ingeniería. Curti Sebastián, Universidad de la República (Uruguay). Facultad de Medicina. Monzón Pablo, Universidad de la República (Uruguay). Facultad de Ingeniería. |
| dc.creator.none.fl_str_mv | Davoine, Federico Curti, Sebastián Monzón, Pablo |
| dc.date.accessioned.none.fl_str_mv | 2020-09-30T16:44:57Z |
| dc.date.available.none.fl_str_mv | 2020-09-30T16:44:57Z |
| dc.date.issued.none.fl_str_mv | 2020 |
| dc.description.abstract.none.fl_txt_mv | In the nervous system, neurons are organized in networks by way of connections constituted by chemical and electrical synapses. We use biological and mathematical models to study electrical synaptic communication and its determinants. In particular, we show how non-synaptic components of a neural circuit generate a band-pass filter behavior and shape action potential transmission between neurons of the mesencephalic trigeminal (MesV) nucleus of rodents. The dynamic modulation of these properties could be used as an inspiration for artificial neural networks with electrical synapses. |
| dc.format.extent.es.fl_str_mv | 5 p. |
| dc.format.mimetype.es.fl_str_mv | application/pdf |
| dc.identifier.citation.es.fl_str_mv | Davoine, F., Curti, S. y Monzón, P. Spike transmission between electrically coupled sensory neurons is improved by filter properties. [en línea]. EN: 2020 IEEE International Symposium on Circuits and Systems (ISCAS), Sevilla, Spain, 12-14 oct. Piscataway, NJ. : IEEE, 2020. 5 p. DOI: 10.1109/ISCAS45731.2020.9180747 |
| dc.identifier.doi.none.fl_str_mv | 10.1109/ISCAS45731.2020.9180747 |
| dc.identifier.uri.none.fl_str_mv | https://hdl.handle.net/20.500.12008/25429 |
| dc.language.iso.none.fl_str_mv | en eng |
| dc.publisher.es.fl_str_mv | IEEE |
| dc.relation.ispartof.es.fl_str_mv | 2020 IEEE International Symposium on Circuits and Systems (ISCAS), Sevilla, Spain, 12-14 oct, page 1-5 |
| dc.rights.license.none.fl_str_mv | Licencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0) |
| dc.rights.none.fl_str_mv | info:eu-repo/semantics/openAccess |
| dc.source.none.fl_str_mv | reponame:COLIBRI instname:Universidad de la República instacron:Universidad de la República |
| dc.subject.en.fl_str_mv | Mathematical model Transfer functions Band-pass filters Junctions Synapses Neural networks Electrical synapses Filters |
| dc.title.none.fl_str_mv | Spike transmission between electrically coupled sensory neurons is improved by filter properties. |
| dc.type.es.fl_str_mv | Ponencia |
| dc.type.none.fl_str_mv | info:eu-repo/semantics/conferenceObject |
| dc.type.version.none.fl_str_mv | info:eu-repo/semantics/publishedVersion |
| description | In the nervous system, neurons are organized in networks by way of connections constituted by chemical and electrical synapses. We use biological and mathematical models to study electrical synaptic communication and its determinants. In particular, we show how non-synaptic components of a neural circuit generate a band-pass filter behavior and shape action potential transmission between neurons of the mesencephalic trigeminal (MesV) nucleus of rodents. The dynamic modulation of these properties could be used as an inspiration for artificial neural networks with electrical synapses. |
| eu_rights_str_mv | openAccess |
| format | conferenceObject |
| id | COLIBRI_bc9430de06468f43ba35f2ab58f34b33 |
| identifier_str_mv | Davoine, F., Curti, S. y Monzón, P. Spike transmission between electrically coupled sensory neurons is improved by filter properties. [en línea]. EN: 2020 IEEE International Symposium on Circuits and Systems (ISCAS), Sevilla, Spain, 12-14 oct. Piscataway, NJ. : IEEE, 2020. 5 p. DOI: 10.1109/ISCAS45731.2020.9180747 10.1109/ISCAS45731.2020.9180747 |
| instacron_str | Universidad de la República |
| institution | Universidad de la República |
| instname_str | Universidad de la República |
| language | eng |
| language_invalid_str_mv | en |
| network_acronym_str | COLIBRI |
| network_name_str | COLIBRI |
| oai_identifier_str | oai:colibri.udelar.edu.uy:20.500.12008/25428 |
| publishDate | 2020 |
| reponame_str | COLIBRI |
| repository.mail.fl_str_mv | mabel.seroubian@seciu.edu.uy |
| repository.name.fl_str_mv | COLIBRI - Universidad de la República |
| repository_id_str | 4771 |
| rights_invalid_str_mv | Licencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0) |
| spelling | Davoine Federico, Universidad de la República (Uruguay). Facultad de Ingeniería.Curti Sebastián, Universidad de la República (Uruguay). Facultad de Medicina.Monzón Pablo, Universidad de la República (Uruguay). Facultad de Ingeniería.2020-09-30T16:44:57Z2020-09-30T16:44:57Z2020Davoine, F., Curti, S. y Monzón, P. Spike transmission between electrically coupled sensory neurons is improved by filter properties. [en línea]. EN: 2020 IEEE International Symposium on Circuits and Systems (ISCAS), Sevilla, Spain, 12-14 oct. Piscataway, NJ. : IEEE, 2020. 5 p. DOI: 10.1109/ISCAS45731.2020.9180747https://hdl.handle.net/20.500.12008/2542910.1109/ISCAS45731.2020.9180747In the nervous system, neurons are organized in networks by way of connections constituted by chemical and electrical synapses. We use biological and mathematical models to study electrical synaptic communication and its determinants. In particular, we show how non-synaptic components of a neural circuit generate a band-pass filter behavior and shape action potential transmission between neurons of the mesencephalic trigeminal (MesV) nucleus of rodents. The dynamic modulation of these properties could be used as an inspiration for artificial neural networks with electrical synapses.Submitted by Ribeiro Jorge (jribeiro@fing.edu.uy) on 2020-09-29T23:53:13Z No. of bitstreams: 2 license_rdf: 23149 bytes, checksum: 1996b8461bc290aef6a27d78c67b6b52 (MD5) DCM20.pdf: 1840364 bytes, checksum: 227efa5f5b0967b53e422cb480678cb4 (MD5)Approved for entry into archive by Machado Jimena (jmachado@fing.edu.uy) on 2020-09-30T16:09:14Z (GMT) No. of bitstreams: 2 license_rdf: 23149 bytes, checksum: 1996b8461bc290aef6a27d78c67b6b52 (MD5) DCM20.pdf: 1840364 bytes, checksum: 227efa5f5b0967b53e422cb480678cb4 (MD5)Made available in DSpace by Luna Fabiana (fabiana.luna@fic.edu.uy) on 2020-09-30T16:44:57Z (GMT). No. of bitstreams: 2 license_rdf: 23149 bytes, checksum: 1996b8461bc290aef6a27d78c67b6b52 (MD5) DCM20.pdf: 1840364 bytes, checksum: 227efa5f5b0967b53e422cb480678cb4 (MD5) Previous issue date: 20205 p.application/pdfenengIEEE2020 IEEE International Symposium on Circuits and Systems (ISCAS), Sevilla, Spain, 12-14 oct, page 1-5Las obras depositadas en el Repositorio se rigen por la Ordenanza de los Derechos de la Propiedad Intelectual de la Universidad de la República.(Res. Nº 91 de C.D.C. de 8/III/1994 – D.O. 7/IV/1994) y por la Ordenanza del Repositorio Abierto de la Universidad de la República (Res. Nº 16 de C.D.C. de 07/10/2014)info:eu-repo/semantics/openAccessLicencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0)Mathematical modelTransfer functionsBand-pass filtersJunctionsSynapsesNeural networksElectrical synapsesFiltersSpike transmission between electrically coupled sensory neurons is improved by filter properties.Ponenciainfo:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionreponame:COLIBRIinstname:Universidad de la Repúblicainstacron:Universidad de la RepúblicaDavoine, FedericoCurti, SebastiánMonzón, PabloLICENSElicense.txtlicense.txttext/plain; charset=utf-84267http://localhost:8080/xmlui/bitstream/20.500.12008/25428/5/license.txt6429389a7df7277b72b7924fdc7d47a9MD55CC-LICENSElicense_urllicense_urltext/plain; charset=utf-850http://localhost:8080/xmlui/bitstream/20.500.12008/25428/2/license_urla006180e3f5b2ad0b88185d14284c0e0MD52license_textlicense_texttext/html; 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- Universidad de la Repúblicafalse |
| spellingShingle | Spike transmission between electrically coupled sensory neurons is improved by filter properties. Davoine, Federico Mathematical model Transfer functions Band-pass filters Junctions Synapses Neural networks Electrical synapses Filters |
| status_str | publishedVersion |
| title | Spike transmission between electrically coupled sensory neurons is improved by filter properties. |
| title_full | Spike transmission between electrically coupled sensory neurons is improved by filter properties. |
| title_fullStr | Spike transmission between electrically coupled sensory neurons is improved by filter properties. |
| title_full_unstemmed | Spike transmission between electrically coupled sensory neurons is improved by filter properties. |
| title_short | Spike transmission between electrically coupled sensory neurons is improved by filter properties. |
| title_sort | Spike transmission between electrically coupled sensory neurons is improved by filter properties. |
| topic | Mathematical model Transfer functions Band-pass filters Junctions Synapses Neural networks Electrical synapses Filters |
| url | https://hdl.handle.net/20.500.12008/25429 |
