1 Jun 2009 13:17
Re: Using CellML for simplified neuron models?
Hi Hans, > We are looking for a good way to describe and share neuron models, and > CellML appears a good > candidate. The neuron models we are interested in consist mostly of a > single compartment, > possibly of a small number of compartments. > > As far as I can see, CellML appears well suited to describe the so-called > subthreshold dynamics > of model neurons. But I am wondering if CellML can also capture (or be > extended to capture) the > threshold operation present in most simplified neuron models. Briefly, the > model dynamics are > integrated according to a set of differential equations. When the membrane > potential of the > neuron crosses a certain threshold, the neuron is said to "fire": the > membrane potential is > reset to a certain value instantaneuously, and often clamped at that value > for a certain period > of time afterwards (refractory period); also, an output signal is generated. > In simple > pseudocode, this would look like: > > while ( simulation time not up ) > > process input > update dynamics according to ODE >(Continue reading)
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