Half-center oscillator database of leech heart interneuron model (Doloc-Mihu & Calabrese 2011)

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We have created a database (HCO-db) of instances of a half-center oscillator computational model [Hill et al., 2001] for analyzing how neuronal parameters influence network activity. 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 table (HCO-db) with the resulting instances characteristics.
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. 37(3):263-83 [PubMed]
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Model Information (Click on a link to find other models with that property)
Model Type: Realistic Network;
Brain Region(s)/Organism: Leech;
Cell Type(s): Leech heart interneuron;
Channel(s): I Na,p; I Na,t; I K; I h; I Calcium; I Potassium;
Gap Junctions:
Simulation Environment: MySQL (web link to model);
Model Concept(s): Activity Patterns; Bursting; Oscillations; Invertebrate;
Implementer(s): Doloc-Mihu, Anca [adolocm at emory.edu];
Search NeuronDB for information about:  I Na,p; I Na,t; I K; I h; I Calcium; I Potassium;
(located via links below)