Thin Film Electrochemical Memristive Systems for Bio-Inspired Computation

We present the basic principles of the organization of organic memristor-the circuit element whose conductivity may vary according to its previous involvement in the current conduction. This property is an analog of the synaptic plasticity in biological systems, responsible for learning and memory. We describe also architecture and properties of adaptive networks based on the organic memristors. Finally, we discuss alternative strategies for the construction of statistical adaptive networks with element sizes in the nm range.