“Adaptive learning” as a mechanistic candidate for reaching optimal task-set representations flexibly

Detalles Bibliográficos
Autores principales: Ardid, Salva, Balcarras, Matthew, Womelsdorf, Thilo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Poster Presentation
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4126561/
http://dx.doi.org/10.1186/1471-2202-15-S1-P8
_version_ 1782329930929930240
author Ardid, Salva
Balcarras, Matthew
Womelsdorf, Thilo
author_facet Ardid, Salva
Balcarras, Matthew
Womelsdorf, Thilo
author_sort Ardid, Salva
collection PubMed
description
format Online
Article
Text
id pubmed-4126561
institution National Center for Biotechnology Information
language English
publishDate 2014
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-41265612014-08-11 “Adaptive learning” as a mechanistic candidate for reaching optimal task-set representations flexibly Ardid, Salva Balcarras, Matthew Womelsdorf, Thilo BMC Neurosci Poster Presentation BioMed Central 2014-07-21 /pmc/articles/PMC4126561/ http://dx.doi.org/10.1186/1471-2202-15-S1-P8 Text en Copyright © 2014 Ardid et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/4.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Poster Presentation
Ardid, Salva
Balcarras, Matthew
Womelsdorf, Thilo
“Adaptive learning” as a mechanistic candidate for reaching optimal task-set representations flexibly
title “Adaptive learning” as a mechanistic candidate for reaching optimal task-set representations flexibly
title_full “Adaptive learning” as a mechanistic candidate for reaching optimal task-set representations flexibly
title_fullStr “Adaptive learning” as a mechanistic candidate for reaching optimal task-set representations flexibly
title_full_unstemmed “Adaptive learning” as a mechanistic candidate for reaching optimal task-set representations flexibly
title_short “Adaptive learning” as a mechanistic candidate for reaching optimal task-set representations flexibly
title_sort “adaptive learning” as a mechanistic candidate for reaching optimal task-set representations flexibly
topic Poster Presentation
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4126561/
http://dx.doi.org/10.1186/1471-2202-15-S1-P8
work_keys_str_mv AT ardidsalva adaptivelearningasamechanisticcandidateforreachingoptimaltasksetrepresentationsflexibly
AT balcarrasmatthew adaptivelearningasamechanisticcandidateforreachingoptimaltasksetrepresentationsflexibly
AT womelsdorfthilo adaptivelearningasamechanisticcandidateforreachingoptimaltasksetrepresentationsflexibly

Ejemplares similares