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.
Model Type: Realistic Network
Region(s) or Organism(s): Leech
Cell Type(s): Leech heart interneuron
Currents: I Na,p; I Na,t; I K; I h; I Calcium; I Potassium
Model Concept(s): Activity Patterns; Bursting; Oscillations; Invertebrate
Simulation Environment: MySQL (web link to model)
Implementer(s): Doloc-Mihu, Anca [adolocm at emory.edu]
References:
Doloc-Mihu A, Calabrese RL. (2011). A database of computational models of a half-center oscillator for analyzing how neuronal parameters influence network activity. Journal of biological physics. 37 [PubMed]