neuroscience, science, simulation
Although I work on a simulator for detailed neuronal networks, I don’t keep up with enough science as I would like to. Got a link to this HBP course where a seasoned modeller takes his class through the very basics of trying to get a single cell simulation to reproduce in-vivo observed data.
What struck me is the comment that the dynamics are not fixed: the number of channels is changing all the time and their individual characteristics too. This makes sense: biomatter is not a machine. This means that in simulation, mechanisms and their parameters, which is how these dynamics are modeled, must support that variation. I don’t know if the magnitude is well established, but it seems to me that some fuzzing must be included in any realistic simulation.
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