Half-center oscillator computational models: the influence of neuronal parameters
© Doloc-Mihu and Calabrese; licensee BioMed Central Ltd. 2010
Published: 20 July 2010
The rhythmic activity of the heartbeat neuronal network of the leech is based on pairs of inhibitory interneurons that make reciprocal spike-mediated and graded synapses across the ganglionic midline. Here we build upon our previous research, where we modeled such a pair of HN(4) reciprocally inhibitory interneurons, known as a half-center oscillator model . We aim at investigating the changes in this model’s oscillatory activity and bursting characteristics based on cellular and synaptic parameters.
To achieve this, we varied eight parameters in all combinations by using a brute-force approach, which resulted in a parameter space of 10,485,760 models. After changing a parameter, a model was run for 100 s to allow the system to establish stable activity, and then, it was run for another 100 s, from which the data were recorded and analyzed.
We performed all the simulations and we built a SQL database table for their firing characteristics [2, 3]. Now, we use the entire database to ask fundamental questions about the activity of half-center oscillators. First, we subdivide the models into those in which the component cells are intrinsically silent, spiking or bursting, and then, ask whether or not oscillators of these different types respond to parameter changes similarly.
This work is supported by the National Institute Health Grant NS024072 to R.L.Calabrese.
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