Literature DB >> 21083630

Modelling the in vivo spike activity of phasically-firing vasopressin cells.

T F Clayton1, A F Murray, G Leng.   

Abstract

A minimalist model of magnocellular vasopressin neurones was developed to examine the hypothesis that their phasic behaviour is the product of intrinsic voltage- and activity-dependent intracellular mechanisms that create a bistable dynamical system. The model can closely match a range of phasic behaviours recorded in vasopressin cells in vivo, as well as reproduce the three archetypal behaviours of vasopressin cells (continuous firing, sparse sporadic firing and phasic firing) by varying one of the fourteen model parameters. In addition, the mean and standard deviation of burst and silence periods can be matched by varying a further two parameters. In the model, the long-term behaviour (phasic characteristics) of cells is largely independent of the short-term behaviour (interspike intervals).
© 2010 The Authors. Journal of Neuroendocrinology © 2010 Blackwell Publishing Ltd.

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Year:  2010        PMID: 21083630     DOI: 10.1111/j.1365-2826.2010.02080.x

Source DB:  PubMed          Journal:  J Neuroendocrinol        ISSN: 0953-8194            Impact factor:   3.627


  5 in total

1.  Models of electrical activity: calibration and prediction testing on the same cell.

Authors:  Maurizio Tomaiuolo; Richard Bertram; Gareth Leng; Joël Tabak
Journal:  Biophys J       Date:  2012-11-07       Impact factor: 4.033

2.  Quantitative prediction of vasopressin secretion using a computational population model of rat magnocellular neurons.

Authors:  Louis Nadeau; Didier Mouginot
Journal:  J Comput Neurosci       Date:  2012-06-12       Impact factor: 1.621

3.  Spike patterning in oxytocin neurons: Capturing physiological behaviour with Hodgkin-Huxley and integrate-and-fire models.

Authors:  Trystan Leng; Gareth Leng; Duncan J MacGregor
Journal:  PLoS One       Date:  2017-07-06       Impact factor: 3.240

4.  Phasic firing in vasopressin cells: understanding its functional significance through computational models.

Authors:  Duncan J MacGregor; Gareth Leng
Journal:  PLoS Comput Biol       Date:  2012-10-18       Impact factor: 4.475

5.  Information coding in vasopressin neurons--the role of asynchronous bistable burst firing.

Authors:  D J MacGregor; T F Clayton; G Leng
Journal:  Biosystems       Date:  2013-03-14       Impact factor: 1.973

  5 in total

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