Numerical analysis of crustacean stomatogastric ganglion neural system
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Abstract:
Objective Using WLC model of inhibition neural system numerically analyzes neuron electric spike of crustacean stomatogastric ganglion to obtain the rhythm of gastric mill and pyloric network. Method The simulation method here show that the lateral teeth and the medial tooth of gastric network appear the states of cut, squeeze and grind of the food. Results The rhythm of pyloric network appears the synchronous oscillation of neurons AB, PD and VD. The gastric neural network and pyloric neural network appear the signal transmitting from neuron LPG to neuron VD. Conclusion These numerical results reveal the experiment phenomena of lobster stomatogastric neural system.
