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1. Identity statement
Reference TypeJournal Article
Sitemtc-m21b.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifier8JMKD3MGP3W34P/3QAT6NL
Repositorysid.inpe.br/mtc-m21b/2018/01.04.15.12   (restricted access)
Last Update2018:01.04.15.12.52 (UTC) simone
Metadata Repositorysid.inpe.br/mtc-m21b/2018/01.04.15.12.53
Metadata Last Update2019:01.14.17.05.23 (UTC) administrator
DOI10.1016/j.physa.2017.11.034
ISSN0378-4371
Citation KeyProtacheviczBICBVLMB:2018:HoSyCa
TitleHow synapses can enhance sensibility of a neural network
Year2018
MonthFeb.
Access Date2024, May 19
Type of Workjournal article
Secondary TypePRE PI
Number of Files1
Size805 KiB
2. Context
Author1 Protachevicz, P. R.
2 Borges, F. S.
3 Iarosz, K. C.
4 Caldas, I. L.
5 Baptista, M. S.
6 Viana, R. L.
7 Lameu, Ewandson Luiz
8 Macau, Elbert Einstein Nehrer
9 Batista, A. M.
Resume Identifier1
2
3
4
5
6
7
8 8JMKD3MGP5W/3C9JGUT
Group1
2
3
4
5
6
7 CAP-COMP-SESPG-INPE-MCTIC-GOV-BR
8 LABAC-COCTE-INPE-MCTIC-GOV-BR
Affiliation1 Universidade Estadual de Ponta Grossa (UEPG)
2 Universidade de São Paulo (USP)
3 Universidade de São Paulo (USP)
4 Universidade de São Paulo (USP)
5 Institute for Complex Systems and Mathematical Biology
6 Universidade Federal do Paraná (UFPR)
7 Instituto Nacional de Pesquisas Espaciais (INPE)
8 Instituto Nacional de Pesquisas Espaciais (INPE)
9 Universidade Estadual de Ponta Grossa (UEPG)
JournalPhysica A: Statistical Mechanics and its Applications
Volume492
Pages1045-1052
Secondary MarkA1_ADMINISTRAÇÃO,_CIÊNCIAS_CONTÁBEIS_E_TURISMO A2_INTERDISCIPLINAR A2_ENGENHARIAS_III B1_PSICOLOGIA B1_MEDICINA_VETERINÁRIA B1_GEOCIÊNCIAS B1_ENGENHARIAS_IV B1_ENGENHARIAS_II B1_ENGENHARIAS_I B1_CIÊNCIAS_AMBIENTAIS B1_CIÊNCIAS_AGRÁRIAS_I B1_BIODIVERSIDADE B2_NUTRIÇÃO B2_MEDICINA_II B2_MATERIAIS B2_MATEMÁTICA_/_PROBABILIDADE_E_ESTATÍSTICA B2_FARMÁCIA B2_ECONOMIA B2_DIREITO B2_CIÊNCIAS_BIOLÓGICAS_II B2_CIÊNCIA_DA_COMPUTAÇÃO B2_BIOTECNOLOGIA B2_ASTRONOMIA_/_FÍSICA B3_QUÍMICA B3_EDUCAÇÃO_FÍSICA B3_CIÊNCIAS_BIOLÓGICAS_I
History (UTC)2018-01-04 15:12:53 :: simone -> administrator ::
2018-01-04 15:12:53 :: administrator -> simone :: 2018
2018-01-04 15:16:43 :: simone -> administrator :: 2018
2019-01-14 17:05:23 :: administrator -> simone :: 2018
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
Version Typepublisher
KeywordsPlasticity
Cellular automaton
Dynamic range
AbstractIn this work, we study the dynamic range in a neural network modelled by cellular automaton. We consider deterministic and non-deterministic rules to simulate electrical and chemical synapses. Chemical synapses have an intrinsic time-delay and are susceptible to parameter variations guided by learning Hebbian rules of behaviour. The learning rules are related to neuroplasticity that describes change to the neural connections in the brain. Our results show that chemical synapses can abruptly enhance sensibility of the neural network, a manifestation that can become even more predominant if learning rules of evolution are applied to the chemical synapses.
AreaCOMP
Arrangement 1urlib.net > BDMCI > Fonds > Produção anterior à 2021 > LABAC > How synapses can...
Arrangement 2urlib.net > BDMCI > Fonds > Produção pgr ATUAIS > CAP > How synapses can...
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agreement Directory Content
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4. Conditions of access and use
Languageen
Target Fileprotachevicz_how.pdf
User Groupsimone
Reader Groupadministrator
simone
Visibilityshown
Archiving Policydenypublisher denyfinaldraft24
Read Permissiondeny from all and allow from 150.163
Update Permissionnot transferred
5. Allied materials
Next Higher Units8JMKD3MGPCW/3ESGTTP
8JMKD3MGPCW/3F2PHGS
Citing Item Listsid.inpe.br/bibdigital/2013/09.22.23.14 3
sid.inpe.br/mtc-m21/2012/07.13.14.45.07 1
DisseminationWEBSCI; PORTALCAPES; MGA; COMPENDEX; SCOPUS.
Host Collectionsid.inpe.br/mtc-m21b/2013/09.26.14.25.20
6. Notes
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7. Description control
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