View in EDS

The cerebellum converts input data into a hyper low-resolution granule cell code with spatial dimensions: A hypothesis

Saved in:
Bibliographic Details
Title: The cerebellum converts input data into a hyper low-resolution granule cell code with spatial dimensions: A hypothesis
Authors: Gilbert, Mike, Rasmussen, Anders
Contributors: Lund University, Faculty of Medicine, Department of Experimental Medical Science, Associative Learning, Lunds universitet, Medicinska fakulteten, Institutionen för experimentell medicinsk vetenskap, Associativ inlärning, Originator
Source: Royal Society Open Science. 12(3):1-28
Subject Terms: Natural Sciences, Biological Sciences, Bioinformatics and Computational Biology, Naturvetenskap, Biologi, Bioinformatik och beräkningsbiologi
Description: We present a theory of the inner layer of the cerebellar cortex, the granular layer, where the main excitatory input to the cerebellum is received. We ask how input signals are converted into an internal code and what form that has. While there is a computational element, and the ideas are quantified with a computer simulation, the approach is primarily evidence-led and aimed at experimenters rather than the computational community. Network models are often simplified to provide a noiseless medium for sophisticated computations. We propose, with evidence, the reverse: physiology is highly adapted to provide a noiseless medium for straightforward computations. We find that input data are converted to a hyper low-resolution internal code. Information is coded in the joint activity of large cell groups and therefore has minimum spatial dimensions - the dimensions of a code group. The conversion exploits statistical effects of random sampling. Code group dimensions are an effect of topography, cell morphologies and granular layer architecture. The activity of a code group is the smallest unit of information but not the smallest unit of code - the same information is coded in any random sample of signals. Code in this form is unexpectedly wasteful - there is a huge sacrifice of resolution - but may be a solution to fundamental problems involved in the biological representation of information.
Access URL: https://doi.org/10.1098/rsos.241665
Database: SwePub
FullText Text:
  Availability: 0
CustomLinks:
  – Url: https://doi.org/10.1098/rsos.241665#
    Name: EDS - SwePub (s4221598)
    Category: fullText
    Text: View record in SwePub
  – Url: http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=search&db=pmc&term=2054-5703[TA]+AND+1[PG]+AND+2025[PDAT]
    Name: FREE - PubMed Central (ISSN based link)
    Category: fullText
    Text: Full Text
    Icon: https://imageserver.ebscohost.com/NetImages/iconPdf.gif
    MouseOverText: Check this PubMed for the article full text.
  – Url: https://resolver.ebscohost.com/openurl?sid=EBSCO:edsswe&genre=article&issn=20545703&ISBN=&volume=12&issue=3&date=20250326&spage=1&pages=1-28&title=Royal Society Open Science&atitle=The%20cerebellum%20converts%20input%20data%20into%20a%20hyper%20low-resolution%20granule%20cell%20code%20with%20spatial%20dimensions%3A%20A%20hypothesis&aulast=Gilbert%2C%20Mike&id=DOI:10.1098/rsos.241665
    Name: Full Text Finder
    Category: fullText
    Text: Full Text Finder
    Icon: https://imageserver.ebscohost.com/branding/images/FTF.gif
    MouseOverText: Full Text Finder
  – Url: https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=EBSCO&SrcAuth=EBSCO&DestApp=WOS&ServiceName=TransferToWoS&DestLinkType=GeneralSearchSummary&Func=Links&author=Gilbert%20M
    Name: ISI
    Category: fullText
    Text: Nájsť tento článok vo Web of Science
    Icon: https://imagesrvr.epnet.com/ls/20docs.gif
    MouseOverText: Nájsť tento článok vo Web of Science
Header DbId: edsswe
DbLabel: SwePub
An: edsswe.oai.portal.research.lu.se.publications.0fc1bcde.3abe.4a43.b49e.61a8d3dfc6c6
RelevancyScore: 1115
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 1114.76123046875
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: The cerebellum converts input data into a hyper low-resolution granule cell code with spatial dimensions: A hypothesis
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Gilbert%2C+Mike%22">Gilbert, Mike</searchLink><br /><searchLink fieldCode="AR" term="%22Rasmussen%2C+Anders%22">Rasmussen, Anders</searchLink>
– Name: Author
  Label: Contributors
  Group: Au
  Data: Lund University, Faculty of Medicine, Department of Experimental Medical Science, Associative Learning, Lunds universitet, Medicinska fakulteten, Institutionen för experimentell medicinsk vetenskap, Associativ inlärning, Originator
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <i>Royal Society Open Science</i>. 12(3):1-28
– Name: Subject
  Label: Subject Terms
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Natural+Sciences%22">Natural Sciences</searchLink><br /><searchLink fieldCode="DE" term="%22Biological+Sciences%22">Biological Sciences</searchLink><br /><searchLink fieldCode="DE" term="%22Bioinformatics+and+Computational+Biology%22">Bioinformatics and Computational Biology</searchLink><br /><searchLink fieldCode="DE" term="%22Naturvetenskap%22">Naturvetenskap</searchLink><br /><searchLink fieldCode="DE" term="%22Biologi%22">Biologi</searchLink><br /><searchLink fieldCode="DE" term="%22Bioinformatik+och+beräkningsbiologi%22">Bioinformatik och beräkningsbiologi</searchLink>
– Name: Abstract
  Label: Description
  Group: Ab
  Data: We present a theory of the inner layer of the cerebellar cortex, the granular layer, where the main excitatory input to the cerebellum is received. We ask how input signals are converted into an internal code and what form that has. While there is a computational element, and the ideas are quantified with a computer simulation, the approach is primarily evidence-led and aimed at experimenters rather than the computational community. Network models are often simplified to provide a noiseless medium for sophisticated computations. We propose, with evidence, the reverse: physiology is highly adapted to provide a noiseless medium for straightforward computations. We find that input data are converted to a hyper low-resolution internal code. Information is coded in the joint activity of large cell groups and therefore has minimum spatial dimensions - the dimensions of a code group. The conversion exploits statistical effects of random sampling. Code group dimensions are an effect of topography, cell morphologies and granular layer architecture. The activity of a code group is the smallest unit of information but not the smallest unit of code - the same information is coded in any random sample of signals. Code in this form is unexpectedly wasteful - there is a huge sacrifice of resolution - but may be a solution to fundamental problems involved in the biological representation of information.
– Name: URL
  Label: Access URL
  Group: URL
  Data: <link linkTarget="URL" linkTerm="https://doi.org/10.1098/rsos.241665" linkWindow="_blank">https://doi.org/10.1098/rsos.241665</link>
PLink https://erproxy.cvtisr.sk/sfx/access?url=https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsswe&AN=edsswe.oai.portal.research.lu.se.publications.0fc1bcde.3abe.4a43.b49e.61a8d3dfc6c6
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1098/rsos.241665
    Languages:
      – Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 28
        StartPage: 1
    Subjects:
      – SubjectFull: Natural Sciences
        Type: general
      – SubjectFull: Biological Sciences
        Type: general
      – SubjectFull: Bioinformatics and Computational Biology
        Type: general
      – SubjectFull: Naturvetenskap
        Type: general
      – SubjectFull: Biologi
        Type: general
      – SubjectFull: Bioinformatik och beräkningsbiologi
        Type: general
    Titles:
      – TitleFull: The cerebellum converts input data into a hyper low-resolution granule cell code with spatial dimensions: A hypothesis
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Gilbert, Mike
      – PersonEntity:
          Name:
            NameFull: Rasmussen, Anders
      – PersonEntity:
          Name:
            NameFull: Lund University, Faculty of Medicine, Department of Experimental Medical Science, Associative Learning, Lunds universitet, Medicinska fakulteten, Institutionen för experimentell medicinsk vetenskap, Associativ inlärning, Originator
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 26
              M: 03
              Type: published
              Y: 2025
          Identifiers:
            – Type: issn-print
              Value: 20545703
            – Type: issn-locals
              Value: SWEPUB_FREE
            – Type: issn-locals
              Value: LU_SWEPUB
          Numbering:
            – Type: volume
              Value: 12
            – Type: issue
              Value: 3
          Titles:
            – TitleFull: Royal Society Open Science
              Type: main
ResultId 1