ion channel modeling with analog circuit evolution
We propose that analog electrical circuits are a natural representation for modeling the dynamical systems that arise in neuroscience. Here we use analog circuit evolution, a reverse engineering technique designed to search through analog circuit space, to automatically design circuit models of ion channel behavior. Results comparing several different multiobjective and coevolutionary techniques demonstrate the importance of evaluating the fitness of evolved circuits under multiple behavioral conditions.
ion channel analog circuit circuit evolution dynamical systems neuroscience hodgkin and huxley physiology evolutionary algorithms