Theory of neural network based on oppositely charged polyelectrolyte hydrogels

Abstract

A scheme of a quasi-biological neural network based on the use of pairs of oppositely charged polyelectrolyte nets
through which a solution of a low-molecular-salt salt flows is proposed. Each pair becomes a generator of electromotive force.
Feedback occurs in such a network due to the interaction of currents flowing inside the pair through the surrounding solution.
The proposed scheme is topologically equivalent to the Hopfield neuroprocessor. The issues of using the proposed scheme for
interpreting the mechanisms of evolution preceding the biological are discussed