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Title: Analysis and modelling of the PY complex in the pyloric circuit of the crab stomatogastric ganglion
Authors: Steyn, Jannetta Sophia
Issue Date: 2016
Publisher: Newcastle University
Abstract: Central pattern generators (CPGs) are neural circuits that control rhythmic motor patterns such as walking running and swallowing. Injuries can sever the spinal cord or conditions such as Huntington's disease and Parkinson's disease can damage nerves from the brain that control CPGs. Understanding the connectivity of neural circuits has proved insu cient to understand the dynamics of such circuits. Neuromodulators and neurohormones can di erentially a ect every connection in neural circuits and di erent circuits are a ected in very di erent ways. The resulting complexity of such systems make them very di cult to study but research is greatly facilitated by the use of model organisms and computational models. The crustacean stomatogastric ganglion (STG) has been used as a model system for many years. Its relative simplicity and accessibility to neurons makes it an ideal system for the study of neural interaction, CPGs and the e ect of neuromodulators on neural systems. The e ect of dopamine on the pyloric CPG of the crab STG was recorded using voltage sensitive dye imaging and electrophysiological techniques. To analyse voltage sensitive dye (VSD) imaging data a heuristic method was devised that uses the timing of the activity plateaus of neurons for the estimation of the dynamics of the temporal relationship of the neurons' activities. MATLABR was used to create a Hodgkin-Huxley based model of the pyloric constrictor pyloric dilator neurons (PDs) with parameters that could capture the dynamics of neuromodulation. The MATLABR model includes two compartments, the soma and the axon, for the anterior burster neuron, the lateral pyloric neurons (LPs), two PDs and ve individual pyloric constrictor neurons (PYs). By di erentially changing the values of the model synapses, the model is able to reproduce the de-synchronisation of the pyloric constrictor neurons as was observed experimentally i on the dea erented stomatogastric nervous system. Existing models model PYs and PDs as single neurons. These models are unable to show the desynchronising e ect of dopamine on multiple neurons of the same type. The model created for this research is able to re ect the e ect of neuromodulation on the complete circuit by allowing parameters of synapses between neurons of the same type to be adjusted di erentially, re ecting the biological system more accurately.
Description: PhD Thesis
Appears in Collections:School of Computing Science

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