Vis enkel innførsel

dc.contributor.authorHeiney, Kristine
dc.contributor.authorValderhaug, Vibeke Devold
dc.contributor.authorHuse Ramstad, Ola
dc.contributor.authorSandvig, Ioanna
dc.contributor.authorSandvig, Axel
dc.contributor.authorNichele, Stefano
dc.date.accessioned2022-02-08T14:45:41Z
dc.date.available2022-02-08T14:45:41Z
dc.date.created2021-05-20T16:04:01Z
dc.date.issued2021
dc.identifier.citationInternational Journal of Unconventional Computing. 2021, 16 (4), 303-326.en_US
dc.identifier.issn1548-7199
dc.identifier.issn1548-7202
dc.identifier.urihttps://hdl.handle.net/11250/2977783
dc.description.abstractThe human brain has a remarkable capacity for computation, and it has been theorized that this capacity arises from the brain self-organizing into the critical state, a dynamical state poised between ordered and dis- ordered behavior and widely considered to be well-suited for computation. Criticality is commonly identified in in vitro neuronal networks using an analytical approach based on the size distribution of cascades of activity called neuronal avalanches. In this study, criticality analysis was applied to different in vitro neuronal networks with two areas of focus: evaluating the effect of the size of the time bins used for neuronal avalanche detection and observation of the development of networks of neurons derived from human induced pluripotent stem cells. This pre- preliminary study is expected to aid in the construction of models capable of emulating neuronal behaviors identified as well-suited for computation and ultimately inform the development of brain-inspired computing substrates that are better able to keep pace with increased demand for data storage and processing power.en_US
dc.description.sponsorshipThis work was conducted as part of the SOCRATES project, which is partially funded by the Norwegian Research Council (NFR) through their IKT PLUSS research and innovation action on information and communication technologies under the project agreement 270961.en_US
dc.language.isoengen_US
dc.publisherOld City Publishingen_US
dc.relation.ispartofseriesInternational Journal of Unconventional Computing;Volume 16, Number 4 (2021)
dc.relation.urihttps://www.oldcitypublishing.com/journals/ijuc-home/ijuc-issue-contents/ijuc-volume-16-number-4-2021/ijuc-16-4-p-303-326/
dc.subjectBio-inspired computationen_US
dc.subjectSelf-organized criticalityen_US
dc.subjectIn vitro neuronal networksen_US
dc.subjectNeuronal avalanchesen_US
dc.titleHallmarks of Criticality in Neuronal Networks Depend on Cell Type and the Temporal Resolution of Neuronal Avalanchesen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionpublishedVersionen_US
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1
dc.identifier.doihttps://www.oldcitypublishing.com/journals/ijuc-home/ijuc-issue-contents/ijuc-volume-16-number-4-2021/
dc.identifier.cristin1911123
dc.source.journalInternational Journal of Unconventional Computingen_US
dc.source.volume16en_US
dc.source.issue4en_US
dc.source.pagenumber303-326en_US
dc.relation.projectNorges forskningsråd: 270961en_US
dc.relation.projectNorges forskningsråd: 286558en_US


Tilhørende fil(er)

Thumbnail

Denne innførselen finnes i følgende samling(er)

Vis enkel innførsel