Biological Computing Using Perfusion Anodophile Biofilm Electrodes (PABE)
John Greenman, Ioannis Ieropoulos and Chris Melhuish
This paper presents a theoretical approach to biological computing, using biofilm electrodes by illustrating a simplified Pavlovian learning model. The theory behind this approach was based on empirical data produced from a prototype version of these units, which illustrated high stability. The implementation of this system into the Pavlovian learning model, is one example and possibly a first step in illustrating, and at the same time discovering its potential as a computing processor.