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Half-Center Oscillator model database
(HCO-db)
The target of this project is to
understand how intrinsic membrane and synaptic parameters affect the
electrical activity of a half-center oscillator model (HCO) and how
different parameter regimes influence stability and modulatability
of the HCO model’s output.
A half-center oscillator (HCO) is a
common circuit building block of central pattern generator (CPG) networks
that produce rhytmic motor patterns in animals.
Hill et al.'s HCO simple conductance-based model replicates the electrical
activity of the oscillator interneurons of the
leech heartbeat CPG under a variety of experimental conditions. This model
consists of two reciprocally inhibitory interneurons
that make reciprocal spike-mediated and graded synapses across the ganglionic midline.
We systematically explored the
parameter space of about 10.4 million simulated HCO instances and
corresponding isolated neuron model simulations obtained by varying a set
of selected parameters (maximal conductance of intrinsic and synaptic
currents) in all combinations using a brute-force approach. We classified
these HCO instances by their activity characteristics into identifiable
groups. We built an efficient relational database (HCO-db) with the
resulting instances characteristics. By efficiently querying the database
we can answer to our questions regarding the biological implications of
these HCO models.
Contents:
HCO model
files (implemented in Genesis 2.3)
Description
of parameter space and simulation files
Group
classification algorithm
The HCO-db
database (in MySQL)
References:
1. Doloc-Mihu A, Calabrese RL
(2011). A database of computational models of a half-center oscillator for
analyzing how neuronal parameters influence network activity. J Biol Phys, Springer, 37(3): 263-283 [PubMed].
2. Hill AA, Lu J, Masino MA, Olsen OH, Calabrese RL (2001) A model of a
segmental oscillator in the leech heartbeat neuronal network. J Comput Neurosci 10:281-302 [PubMed]
Last updated June
22, 2012. Please send comments to adolocm@emory.edu.
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