Evolution of analog circuit models of ion channels
ICES'10 Proceedings of the 9th international conference on Evolvable systems: from biology to hardware
Automated synthesis of analog electrical circuits by means ofgenetic programming
IEEE Transactions on Evolutionary Computation
A fast and elitist multiobjective genetic algorithm: NSGA-II
IEEE Transactions on Evolutionary Computation
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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.