YEARS

2014-2016

AUTHORS

Laura Batterink

TITLE

Statistical learning, memory systems, and sleep-based memory consolidation

ABSTRACT

DESCRIPTION (provided by applicant): The acquisition of language is essential for normal functioning, and problems with language acquisition can severely limit an individual's educational, career, and social opportunities. One mechanism thought to play a critical role in language acquisition is statistical learning, which refers to the process of extracting subtle patterns from environmental input. Although it is commonly assumed that statistical learning operates implicitly, without requiring conscious effort or awareness, this fundamental assumption has not been directly tested. It is possible that inducing statistical learning to occur explicitly rather than implicitly may engage additional explicit memory systems and may also facilitate sleep-dependent consolidation processes that are critical for long-term retention. The goal of the proposed research is to assess whether and how learning mode alters the memory systems and sleep-dependent consolidation processes that support statistical learning. In the first proposed study, the effect of learning mode on the memory systems recruited for statistical learning will be evaluated, using a combination of behavioral and functional magnetic resonance imaging (fMRI) analyses. In the second proposed study, the effect of learning mode on sleep-dependent consolidation of statistical representations will be assessed, using a combination of behavioral and electroencephalography (EEG) analyses. Because patients often show dissociations of implicit and explicit memory, understanding how learning mode may modulate the memory systems and subsequent sleep-dependent consolidation processes that underlie statistical learning could have tremendous potential to inform treatments for language disorders. For example, by manipulating learning mode, therapies may be developed to selectively target one memory system in order to compensate for dysfunctions in the other, or to promote sleep-dependent consolidation. The proposed fellowship training will provide instruction in two main methodological areas: (1) sleep neurobiology and (2) fMRI analyses. Training in these two different areas will be integrated by the common goal of understanding how learning mode alters the memory systems and consolidation processes that support statistical learning.

FUNDED PUBLICATIONS

  • Implicit and explicit contributions to statistical learning.
  • Sleep facilitates learning a new linguistic rule.
  • Sleep-based memory processing facilitates grammatical generalization: Evidence from targeted memory reactivation.
  • How to use: Click on a object to move its position. Double click to open its homepage. Right click to preview its contents.

    Download the RDF metadata as:   json-ld nt turtle xml License info


    20 TRIPLES      17 PREDICATES      21 URIs      9 LITERALS

    Subject Predicate Object
    1 grants:921e248b7410673b03866a03c9a77cf0 sg:abstract DESCRIPTION (provided by applicant): The acquisition of language is essential for normal functioning, and problems with language acquisition can severely limit an individual's educational, career, and social opportunities. One mechanism thought to play a critical role in language acquisition is statistical learning, which refers to the process of extracting subtle patterns from environmental input. Although it is commonly assumed that statistical learning operates implicitly, without requiring conscious effort or awareness, this fundamental assumption has not been directly tested. It is possible that inducing statistical learning to occur explicitly rather than implicitly may engage additional explicit memory systems and may also facilitate sleep-dependent consolidation processes that are critical for long-term retention. The goal of the proposed research is to assess whether and how learning mode alters the memory systems and sleep-dependent consolidation processes that support statistical learning. In the first proposed study, the effect of learning mode on the memory systems recruited for statistical learning will be evaluated, using a combination of behavioral and functional magnetic resonance imaging (fMRI) analyses. In the second proposed study, the effect of learning mode on sleep-dependent consolidation of statistical representations will be assessed, using a combination of behavioral and electroencephalography (EEG) analyses. Because patients often show dissociations of implicit and explicit memory, understanding how learning mode may modulate the memory systems and subsequent sleep-dependent consolidation processes that underlie statistical learning could have tremendous potential to inform treatments for language disorders. For example, by manipulating learning mode, therapies may be developed to selectively target one memory system in order to compensate for dysfunctions in the other, or to promote sleep-dependent consolidation. The proposed fellowship training will provide instruction in two main methodological areas: (1) sleep neurobiology and (2) fMRI analyses. Training in these two different areas will be integrated by the common goal of understanding how learning mode alters the memory systems and consolidation processes that support statistical learning.
    2 sg:endYear 2016
    3 sg:fundingAmount 105724.0
    4 sg:fundingCurrency USD
    5 sg:hasContribution contributions:5b63f4ce961dd12786b143d9c9830a9e
    6 sg:hasFieldOfResearchCode anzsrc-for:17
    7 anzsrc-for:1701
    8 sg:hasFundedPublication articles:9f86eaefa1f20835d07a6e887c5756ab
    9 articles:ac59ed29cd0248a1139943f677dcb3c7
    10 articles:e7678f40efea5307448f049a2e552917
    11 sg:hasFundingOrganization grid-institutes:grid.420089.7
    12 sg:hasRecipientOrganization grid-institutes:grid.16753.36
    13 sg:language English
    14 sg:license http://scigraph.springernature.com/explorer/license/
    15 sg:scigraphId 921e248b7410673b03866a03c9a77cf0
    16 sg:startYear 2014
    17 sg:title Statistical learning, memory systems, and sleep-based memory consolidation
    18 sg:webpage http://projectreporter.nih.gov/project_info_description.cfm?aid=8979446
    19 rdf:type sg:Grant
    20 rdfs:label Grant: Statistical learning, memory systems, and sleep-based memory consolidation
    HOW TO GET THIS DATA PROGRAMMATICALLY:

    JSON-LD is a popular JSON format for linked data.

    curl -H 'Accept: application/ld+json' 'http://scigraph.springernature.com/things/grants/921e248b7410673b03866a03c9a77cf0'

    N-Triples is a line-based linked data format ideal for batch operations .

    curl -H 'Accept: application/n-triples' 'http://scigraph.springernature.com/things/grants/921e248b7410673b03866a03c9a77cf0'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'http://scigraph.springernature.com/things/grants/921e248b7410673b03866a03c9a77cf0'

    RDF/XML is a standard XML format for linked data.

    curl -H 'Accept: application/rdf+xml' 'http://scigraph.springernature.com/things/grants/921e248b7410673b03866a03c9a77cf0'






    Preview window. Press ESC to close (or click here)


    ...