Publication
Title
Passive models of neurons in the deep cerebellar nuclei : the effect of reconstruction errors
Author
Abstract
The goal of this study was to determine how the fit of passive parameters in a compart-mental model varies depending on the precise morphological reconstruction of the neuron. We per-formed whole-cell recordings of deep cerebellar nucleus neurons in brain slices, reconstructed the neuronal morphologies and converted them into detailed compartmental models. A genetic algorithm was used to find the best fit of specific capacitance C-M, membrane resistance R-M and axial resistivity R-A of the model with recordings from the same cell. We then introduced morphological alterations that represented the likely consequence of shrinkage artefacts and reconstruction errors. We found that the optimal fits of passive parameters change as much as 173% with such morphological alterations. In addition, dendrites cut during slicing could affect the value of R-M, but not C-M or R-A. (C) 2004 Elsevier B.V. All rights reserved.
Language
English
Source (journal)
Neurocomputing: an international journal. - Amsterdam
Publication
Amsterdam : 2004
ISSN
0925-2312
Volume/pages
58(2004), p. 563-568
ISI
000223887200082
Full text (Publisher's DOI)
Full text (publisher's version - intranet only)
UAntwerpen
Faculty/Department
Research group
Publication type
Subject
Affiliation
Publications with a UAntwerp address
External links
Web of Science
Record
Identification
Creation 08.10.2008
Last edited 12.08.2017
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