Volume 8 Supplement 2
Computational model of a modulatory cell type in the feeding network of the snail, Lymnaea stagnalis
© Vavoulis et al; licensee BioMed Central Ltd. 2007
Published: 6 July 2007
Realistic mathematical models of single neurons are significant in assessing the contribution of specific ionic conductances to neuronal excitability. This study presents a detailed computational model of the Cerebral Giant Cells (CGCs), a pair of serotonergic neurons in the feeding network of Lymnaea stagnalis, which are critical for the expression of motor behaviour (feeding) and the formation of long-term memory.
First, we fitted a single-compartment, Hodgkin-Huxley model of the CGCs to two-electrode voltage- and current-clamp data  using a combination of linear and non-linear least-square fitting techniques. Then, we selectively blocked each ionic current to assess its role in the model, thus mimicking the application of pharmacological agents in the biological neuron.
The model we have developed here provides an accurate description of the CGCs at the biophysical level and it is a useful tool for studying the electrical properties of these important modulatory neurons.
This research was supported by EPSRC and BBSRC, United Kingdom
This article is published under license to BioMed Central Ltd.