Literature DB >> 938942

Simulation of network activity in stomatogastric ganglion of the spiny lobster, Panulirus.

H S Warshaw, D K Hartline.   

Abstract

We have compared experimental and model studies on the rhythmic activity of the lobster stomatogastric ganglion. Both the pyloric and gastric mill systems were simulated using a physiologically based network model. In the pyloric simulation the known synaptic connectivity of the 3 principal cell types in the pyloric rhythm was found to be sufficient to produce the correct sequence of cyclic bursting activity over a substantial range of parameter values, even though we did not simulate the known endogenous oscillatory driver potential of one of the cell types. It is not yet known whether the synaptic inhibition in the real system is in the right range to cause cyclic bursting in the absence of the driver potential, but the synaptic connectivity does appear to reinforce the cyclic pattern. Simulations were also done with alternative connectivity schemes to determine which synapses appear essential to generate the correct bursting sequence (in the absence of endogenous bursting activity). Other, more complex, systems simulated were: (1) all 5 cell groups of the pyloric system, and (2) the cells responsible for movement of the lateral teeth in the gastric mill. In both cases good qualitative agreement was achieved between model and real systems.

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Year:  1976        PMID: 938942     DOI: 10.1016/0006-8993(76)90401-7

Source DB:  PubMed          Journal:  Brain Res        ISSN: 0006-8993            Impact factor:   3.252


  3 in total

1.  Pattern generation in the lobster (Panulirus) stomatogastric ganglion. II. Pyloric network simulation.

Authors:  D K Hartline
Journal:  Biol Cybern       Date:  1979-08       Impact factor: 2.086

2.  The pyloric pattern of the lobster (Panulirus interruptus) stomatogastric ganglion comprises two phase-maintaining subsets.

Authors:  S L Hooper
Journal:  J Comput Neurosci       Date:  1997-07       Impact factor: 1.621

3.  Nonlinear systems analysis of computer models of repetitive firing.

Authors:  C L Baker
Journal:  Biol Cybern       Date:  1978-05-05       Impact factor: 2.086

  3 in total

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