Conference
Προβολή σε EDS

Overdispersion in the Place Cell Discharge—Stochastic Modelling and Inference.

Λεπτομέρειες βιβλιογραφικής εγγραφής
Τίτλος: Overdispersion in the Place Cell Discharge—Stochastic Modelling and Inference.
Συγγραφείς: Benesˇ, Viktor1, Frcalová, Blazˇena1, Klement, Daniel2, Lánský, Petr2
Πηγή: AIP Conference Proceedings. 7/3/2008, Vol. 1028 Issue 1, p186-197. 12p. 4 Diagrams, 3 Graphs.
Θεματικοί όροι: *Brain -- Mathematical models, *Hippocampus physiology, *Stochastic models, *Spatio-temporal variation
Περίληψη: The paper is a case study monitoring the spiking activity of a place cell of hippocampus of a rat moving in an arena. Real data are evaluated using a new statistical methodology. Experimentally observed overdispersion suggests a doubly stochastic spatio-temporal point process model of the time of spikes and the location of the rat. The inference of the driving intensity leads to a nonlinear filtering problem. Jump processes are used as parametric models of the driving intensity which enables the solution of the filtering problem by means of Bayesian Markov chain Monte Carlo methods. Simultaneously the parameters of the model are estimated. Model selection, numerical results and receptive field plasticity are discussed. [ABSTRACT FROM AUTHOR]
Βάση Δεδομένων: Academic Search Index
FullText Text:
  Availability: 0
Header DbId: asx
DbLabel: Academic Search Index
An: 33183516
RelevancyScore: 1218
AccessLevel: 6
PubType: Conference
PubTypeId: conference
PreciseRelevancyScore: 1218.20104980469
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Overdispersion in the Place Cell Discharge—Stochastic Modelling and Inference.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Benesˇ%2C+Viktor%22">Benesˇ, Viktor</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Frcalová%2C+Blazˇena%22">Frcalová, Blazˇena</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Klement%2C+Daniel%22">Klement, Daniel</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Lánský%2C+Petr%22">Lánský, Petr</searchLink><relatesTo>2</relatesTo>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22AIP+Conference+Proceedings%22">AIP Conference Proceedings</searchLink>. 7/3/2008, Vol. 1028 Issue 1, p186-197. 12p. 4 Diagrams, 3 Graphs.
– Name: Subject
  Label: Subject Terms
  Group: Su
  Data: *<searchLink fieldCode="DE" term="%22Brain+--+Mathematical+models%22">Brain -- Mathematical models</searchLink><br />*<searchLink fieldCode="DE" term="%22Hippocampus+physiology%22">Hippocampus physiology</searchLink><br />*<searchLink fieldCode="DE" term="%22Stochastic+models%22">Stochastic models</searchLink><br />*<searchLink fieldCode="DE" term="%22Spatio-temporal+variation%22">Spatio-temporal variation</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: The paper is a case study monitoring the spiking activity of a place cell of hippocampus of a rat moving in an arena. Real data are evaluated using a new statistical methodology. Experimentally observed overdispersion suggests a doubly stochastic spatio-temporal point process model of the time of spikes and the location of the rat. The inference of the driving intensity leads to a nonlinear filtering problem. Jump processes are used as parametric models of the driving intensity which enables the solution of the filtering problem by means of Bayesian Markov chain Monte Carlo methods. Simultaneously the parameters of the model are estimated. Model selection, numerical results and receptive field plasticity are discussed. [ABSTRACT FROM AUTHOR]
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asx&AN=33183516
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1063/1.2965086
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 12
        StartPage: 186
    Subjects:
      – SubjectFull: Brain -- Mathematical models
        Type: general
      – SubjectFull: Hippocampus physiology
        Type: general
      – SubjectFull: Stochastic models
        Type: general
      – SubjectFull: Spatio-temporal variation
        Type: general
    Titles:
      – TitleFull: Overdispersion in the Place Cell Discharge—Stochastic Modelling and Inference.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Benesˇ, Viktor
      – PersonEntity:
          Name:
            NameFull: Frcalová, Blazˇena
      – PersonEntity:
          Name:
            NameFull: Klement, Daniel
      – PersonEntity:
          Name:
            NameFull: Lánský, Petr
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 03
              M: 07
              Text: 7/3/2008
              Type: published
              Y: 2008
          Identifiers:
            – Type: issn-print
              Value: 0094243X
          Numbering:
            – Type: volume
              Value: 1028
            – Type: issue
              Value: 1
          Titles:
            – TitleFull: AIP Conference Proceedings
              Type: main
ResultId 1