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https://hdl.handle.net/1822/69738
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Campo DC | Valor | Idioma |
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dc.contributor.author | Wojtak, Weronika | por |
dc.contributor.author | Ferreira, Flora José Rocha | por |
dc.contributor.author | Bicho, Estela | por |
dc.contributor.author | Erlhagen, Wolfram | por |
dc.date.accessioned | 2021-01-26T15:43:11Z | - |
dc.date.issued | 2019-01-01 | - |
dc.identifier.isbn | 9780735418547 | - |
dc.identifier.issn | 0094-243X | - |
dc.identifier.uri | https://hdl.handle.net/1822/69738 | - |
dc.description.abstract | Neural field models, formalized by integro-differential equations, describe the large-scale spatio-temporal dynamics of neuronal populations [1]. They have been used in the past as a framework for modeling a wide range of brain functions, including multi-item working memory [2]. Neural field equations support spatially localized regions of high activity (or bumps) that are initially triggered by brief sensory inputs and subsequently become self-sustained by recurrent interactions within the neural population. We apply a special class of oscillatory coupling functions and analyze how the shape and spatial extension of multi-bump solutions change as the spatial ranges of excitation and inhibition within the field are varied [3]. More precisely, we use numerical continuation to find and follow solutions of neural field equations as the parameter controlling the distance between consecutive zeros of the coupling function is varied [4]. Important for a working memory application (e.g. [5]), we investigate how changes in this parameter affect the shape of bump solutions and therefore the maximum number of bumps that may exist in a given finite interval. | por |
dc.description.sponsorship | - The work received financial support from FCT through the PhD fellowship PD/BD/128183/2016. | por |
dc.language.iso | eng | por |
dc.publisher | AIP Publishing | por |
dc.relation | PD/BD/128183/2016 | por |
dc.rights | closedAccess | por |
dc.title | Numerical analysis of the shape of bump solutions in a neuronal model of working memory | por |
dc.type | conferencePaper | por |
dc.peerreviewed | yes | por |
dc.relation.publisherversion | https://aip.scitation.org/doi/abs/10.1063/1.5114243 | por |
oaire.citationVolume | 2116 | por |
dc.date.updated | 2021-01-18T23:21:37Z | - |
dc.identifier.doi | 10.1063/1.5114243 | por |
dc.date.embargo | 10000-01-01 | - |
dc.subject.wos | Science & Technology | - |
sdum.export.identifier | 7778 | - |
sdum.journal | AIP Conference Proceedings | por |
sdum.conferencePublication | International Conference on Numerical Analysis and Applied Mathematics (ICNAAM-2018) | por |
sdum.bookTitle | International Conference on Numerical Analysis and Applied Mathematics (ICNAAM-2018) | por |
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Numerics_Bump_Solutions_WW_et_al_2019.pdf Acesso restrito! | 497,22 kB | Adobe PDF | Ver/Abrir |