Adaptive Learning Algorithms for Nernst Potential and I-V Curves in Nerve Cell Membrane Ion Channels Modelled as Hidden Markov Models

Abstract

We present discrete stochastic optimization algorithms that adaptively learn the Nernst potential in membrane ion channels. The proposed algorithms dynamically control both the ion channel experiment and the resulting hidden Markov model signal processor