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Chapter and Conference Paper
Evolution of Analog Circuit Models of Ion Channels
Analog circuits have long been used to model the electrical properties of biological neurons. For example, the classic Hodgkin-Huxley model represents ion channels embedded in a neuron’s cell membrane as a cap...
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Article
Inference of hidden variables in systems of differential equations with genetic programming
The data-driven modeling of dynamical systems is an important scientific activity, and many studies have applied genetic programming (GP) to the task of automatically constructing such models in the form of sy...
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Chapter and Conference Paper
Reverse-Engineering Nonlinear Analog Circuits with Evolutionary Computation
The design of analog circuits by hand is a difficult task, and many successful approaches to automating this design process based on evolutionary computation have been proposed. The fitness evaluations necessa...
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Article
A hybrid evolutionary algorithm for the symbolic modeling of multiple-time-scale dynamical systems
Natural and artificial dynamical systems in the real world often have dynamics at multiple time scales. Such dynamics can contribute substantially to the complexity of a dynamical system and increase the diffi...