Stochastic Resonance in Ion Channels Characterized by Information Theory

TL;DR

This paper introduces a unifying information-theoretic measure for stochastic resonance in ion channels, analyzing gating dynamics with a focus on information gain and its relation to channel states and noise.

Contribution

It provides an analytical formula for the rate of information gain in ion channels, unifying different types of stochastic resonance within an information-theoretic framework.

Findings

Stochastic resonance occurs only when the channel's closed state dominates.

Increasing open state probability reduces the information gain, eliminating SR.

Derived a simple formula for information gain applicable to small voltage signals.

Abstract

We identify a unifying measure for stochastic resonance (SR) in voltage dependent ion channels which comprises periodic (conventional), aperiodic and nonstationary SR. Within a simplest setting, the gating dynamics is governed by two-state conductance fluctuations, which switch at random time points between two values. The corresponding continuous time point process is analyzed by virtue of information theory. In pursuing this goal we evaluate for our dynamics the tau-information, the mutual information and the rate of information gain. As a main result we find an analytical formula for the rate of information gain that solely involves the probability of the two channel states and their noise averaged rates. For small voltage signals it simplifies to a handy expression. Our findings are applied to study SR in a potassium channel. We find that SR occurs only when the closed state is predominantly dwelled. Upon increasing the probability for the open channel state the application of an extra dose of noise monotonically deteriorates the rate of information gain, i.e., no SR behavior occurs.