<oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:contributor>Nicole Skieresz</dc:contributor>
  <dc:contributor>Hadj Meziane</dc:contributor>
  <dc:contributor>Simon Gorin</dc:contributor>
  <dc:contributor>Pamela Banta-Lavenex</dc:contributor>
  <dc:contributor>Marina Laganaro</dc:contributor>
  <dc:contributor>Nicolas Rothen</dc:contributor>
  <dc:contributor>Thomas Reber</dc:contributor>
  <dc:creator>Sandy C. Marca</dc:creator>
  <dc:date>2022</dc:date>
  <dc:description xmlns:ns0="xml" ns0:lang="en">Semantic memory is essential to store knowledge about the world and to determine how to interact with one’s environment. It encompasses several abilities with differing levels of abstraction such as recognizing a tool, its use and its name, which elicit different neuronal activations, respectively. The latter ability, a linguistic ability, targets processes that go beyond simple perceptual processing. To  better  understand  how  semantic  memory  varies  with  level  of  abstraction,  we  tested whether the Fast Periodic Visual Stimulation (FPVS)-oddball paradigm is useful to assess Second Language Acquisition  (SLA).  Whereas  recent  findings  from  cognitive  neuroscience  showed  the  efficacy  of  this paradigm to measure the semantic categorization of images, and L1 (first language) words, to our knowledge no study has used this paradigm to assess L2  (second  language)  semantic  memory.  Thus,  the  first  goal  of  our  study  is  to  replicate  those findings with adults, and assess whether they extend to children. The second goal of our study is to assess whether the FPVS-oddball paradigm can assess semantic categorization in L2 in adults and children. Our  results  suggest  that  we  can  use  the  FPVS-oddball  paradigm  to  assess  successful  L2  learning,  as  we identify a higher category-selective response after L2 learning compared to prior learning.</dc:description>
  <dc:format>application/pdf</dc:format>
  <dc:identifier>https://n2t.net/ark:/51647/srd1322200</dc:identifier>
  <dc:identifier>https://sonar.unidistance.ch/global/documents/322200</dc:identifier>
  <dc:identifier>https://sonar.unidistance.ch/documents/322200/files/LNDS-retreat_2022.pdf</dc:identifier>
  <dc:language>eng</dc:language>
  <dc:relation>info:eu-repo/semantics/altIdentifier/ark/51647/srd1322200</dc:relation>
  <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
  <dc:rights>License undefined</dc:rights>
  <dc:source>Meeting of the NeuroLeman Netword and Doctoral Schools NLN 2022 Abstract Book. - 2022, p. 67</dc:source>
  <dc:title xmlns:ns1="xml" ns1:lang="en">EEG correlates of fast categorization of L1 and L2 words in adults and children : Meeting of the NeuroLeman Netword and Doctoral Schools NLN 2022 - Diablerets (Switzerland)</dc:title>
  <dc:type>http://purl.org/coar/resource_type/c_6670</dc:type>
</oai_dc:dc>