Half-Center Oscillator model database
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.
files (implemented in Genesis 2.3)
of parameter space and simulation files
database (in MySQL)
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 email@example.com.