View in EDS HTML Full Text PDF Full Text

Learning spatio-temporal patterns with Neural Cellular Automata.

Saved in:
Bibliographic Details
Title: Learning spatio-temporal patterns with Neural Cellular Automata.
Authors: Richardson AD; School of Physics and Astronomy, University of Edinburgh, Edinburgh, United Kingdom.; School of Mathematics and Maxwell Institute for Mathematical Sciences, University of Edinburgh, Edinburgh, United Kingdom., Antal T; School of Mathematics and Maxwell Institute for Mathematical Sciences, University of Edinburgh, Edinburgh, United Kingdom., Blythe RA; School of Physics and Astronomy, University of Edinburgh, Edinburgh, United Kingdom., Schumacher LJ; School of Mathematics and Maxwell Institute for Mathematical Sciences, University of Edinburgh, Edinburgh, United Kingdom.; Institute of regeneration and repair, University of Edinburgh, Edinburgh, United Kingdom.
Source: PLoS computational biology [PLoS Comput Biol] 2024 Apr 26; Vol. 20 (4), pp. e1011589. Date of Electronic Publication: 2024 Apr 26 (Print Publication: 2024).
Publication Type: Journal Article; Research Support, Non-U.S. Gov't
Journal Info: Publisher: Public Library of Science Country of Publication: United States NLM ID: 101238922 Publication Model: eCollection Cited Medium: Internet ISSN: 1553-7358 (Electronic) Linking ISSN: 1553734X NLM ISO Abbreviation: PLoS Comput Biol Subsets: MEDLINE
Database: MEDLINE Ultimate
Full text is not displayed to guests.
FullText Links:
  – Type: pdflink
Text:
  Availability: 1
Header DbId: mdl
DbLabel: MEDLINE Ultimate
An: 38669297
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Learning spatio-temporal patterns with Neural Cellular Automata.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AU" term="%22Richardson+AD%22">Richardson AD</searchLink>; School of Physics and Astronomy, University of Edinburgh, Edinburgh, United Kingdom.; School of Mathematics and Maxwell Institute for Mathematical Sciences, University of Edinburgh, Edinburgh, United Kingdom.<br /><searchLink fieldCode="AU" term="%22Antal+T%22">Antal T</searchLink>; School of Mathematics and Maxwell Institute for Mathematical Sciences, University of Edinburgh, Edinburgh, United Kingdom.<br /><searchLink fieldCode="AU" term="%22Blythe+RA%22">Blythe RA</searchLink>; School of Physics and Astronomy, University of Edinburgh, Edinburgh, United Kingdom.<br /><searchLink fieldCode="AU" term="%22Schumacher+LJ%22">Schumacher LJ</searchLink>; School of Mathematics and Maxwell Institute for Mathematical Sciences, University of Edinburgh, Edinburgh, United Kingdom.; Institute of regeneration and repair, University of Edinburgh, Edinburgh, United Kingdom.
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22101238922%22">PLoS computational biology</searchLink> [PLoS Comput Biol] 2024 Apr 26; Vol. 20 (4), pp. e1011589. <i>Date of Electronic Publication: </i>2024 Apr 26 (<i>Print Publication: </i>2024).
– Name: TypePub
  Label: Publication Type
  Group: TypPub
  Data: Journal Article; Research Support, Non-U.S. Gov't
– Name: TitleSource
  Label: Journal Info
  Group: Src
  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Public+Library+of+Science%22">Public Library of Science </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>101238922 <i>Publication Model: </i>eCollection <i>Cited Medium: </i>Internet <i>ISSN: </i>1553-7358 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%221553734X%22">1553734X </searchLink><i>NLM ISO Abbreviation: </i>PLoS Comput Biol <i>Subsets: </i>MEDLINE
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=38669297
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1371/journal.pcbi.1011589
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        StartPage: e1011589
    Titles:
      – TitleFull: Learning spatio-temporal patterns with Neural Cellular Automata.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Richardson AD
      – PersonEntity:
          Name:
            NameFull: Antal T
      – PersonEntity:
          Name:
            NameFull: Blythe RA
      – PersonEntity:
          Name:
            NameFull: Schumacher LJ
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 26
              M: 04
              Text: 2024 Apr 26
              Type: published
              Y: 2024
          Identifiers:
            – Type: issn-electronic
              Value: 1553-7358
          Numbering:
            – Type: volume
              Value: 20
            – Type: issue
              Value: 4
          Titles:
            – TitleFull: PLoS computational biology
              Type: main
ResultId 1