Utilize este identificador para referenciar este registo:
https://hdl.handle.net/1822/12906
Registo completo
Campo DC | Valor | Idioma |
---|---|---|
dc.contributor.author | Ferreira, Flora | - |
dc.contributor.author | Erlhagen, Wolfram | - |
dc.contributor.author | Bicho, E. | - |
dc.date.accessioned | 2011-07-19T16:55:56Z | - |
dc.date.available | 2011-07-19T16:55:56Z | - |
dc.date.issued | 2011 | - |
dc.identifier.isbn | 978-3-642-21737-1 | - |
dc.identifier.issn | 0302-9743 | por |
dc.identifier.uri | https://hdl.handle.net/1822/12906 | - |
dc.description.abstract | Recent evidence suggests that the neural mechanisms underlying memory for serial order and interval timing of sequential events are closely linked. We present a dynamic neural field model which exploits the existence and stability of multi-bump solutions with a gradient of activation to store serial order. The activation gradient is achieved by applying a state-dependent threshold accommodation process to the firing rate function. A field dynamics of lateral inhibition type is used in combination with a dynamics for the baseline activity to recall the sequence from memory. We show that depending on the time scale of the baseline dynamics the precise temporal structure of the original sequence may be retrieved or a proactive timing of events may be achieved | por |
dc.description.sponsorship | Fundação para a Ciência e a Tecnologia (FCT) - Bolsa SFRH/BD/41179/2007 | por |
dc.language.iso | eng | por |
dc.publisher | Springer | por |
dc.relation | info:eu-repo/grantAgreement/FCT/SFRH/SFRH%2FBD%2F41179%2F2007/PT | - |
dc.rights | openAccess | por |
dc.subject | Dynamic field Model | por |
dc.subject | Serial order | por |
dc.subject | Interval timing | por |
dc.subject | Prefrontal cortex | por |
dc.title | A dynamic field model of ordinal and timing properties of sequential events | por |
dc.type | conferencePaper | - |
dc.peerreviewed | yes | por |
sdum.publicationstatus | published | por |
oaire.citationConferenceDate | Artificial Neural Networks and Machine Learning – ICANN 2011 21st International Conference on Artificial Neural Networks Proceedings, Part II | por |
oaire.citationStartPage | 325 | por |
oaire.citationEndPage | 332 | por |
oaire.citationIssue | PART 2 | por |
oaire.citationConferencePlace | Espoo, Finland | por |
oaire.citationTitle | Artificial Neural Networks and Machine Learning (ICANN 201) : proceedings of the 21st International Conference on Artificial Neural Network, Part II | por |
oaire.citationVolume | 6792 | por |
dc.identifier.doi | 10.1007/978-3-642-21738-8_42 | por |
dc.subject.wos | Science & Technology | por |
sdum.journal | Lecture Notes in Computer Science | por |
sdum.conferencePublication | ARTIFICIAL NEURAL NETWORKS AND MACHINE LEARNING - ICANN 2011, PT II | por |
Aparece nas coleções: | DEI - Artigos em atas de congressos internacionais DMA - Comunicações |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
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ICANN2011_FF_WE_EB_in_Proceedings.pdf | Documento principal | 298,83 kB | Adobe PDF | Ver/Abrir |