Abstract

The driven system of conducting channels in a nerve membrane is investigated. A current flow generates a coupling between the channels: the current through a channel is influenced by the presence of other conducting channels via the deformation of the equipotential surfaces within the media adjacent to the membrane. We derive an integral equation for the membrane voltageV(s) (s in the membrane plane) and solve it for different membrane conductance distributionsγ(s) including models for stochastic distributions of conducting channels.V(s) is a nonlinear functional ofγ(s). The system of coupled channels is compared with an Ising model. The system exhibits a multi-channel interaction which can be characterized by two different rangesdint andD1. For a mean channel distanced0≫dint interaction effects are negligible, and ford0≪D1 all channel-voltages are equal and thus represent a “mean-field” for the channels. Increasing conductivity of the medium decreasesdint and increasesD1. With experimental data on sodium channels in nerve membranes we find:dint≈d0, i.e. a 50% decrease of the channel-voltages by the interaction, andD1≈103⋯104d0, which indicates mean-field behaviour of the channels. In a subsequent paper we shall treat the statistics of channels which open and close stochastically under the influence of the local membrane voltage.

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