Article details

Title: Introduction to the Prion Neural System
Author(s): Luciana Morogan               

Abstract: In history, there were continuous attempts to study, discover, and implement computing ideas or models from the way nature computes. Such an idea is presented at the beginning of this paper by introducing a controversial biological phenomena as the starting idea of our biology inspired computational model, which we called the prion neural system. It is developed as part of an ambitious project to build models of complex systems into a bottom up approach. The construction belongs to the hybrid systems category as we needed to encompass a larger class of systems within the system structure, allowing more flexibility in modeling the dynamic biological phenomena. Using only one of the directions already known was not enough for abstracting a computing model from the structure and the functioning of a living neuron as an evolutionary multi-functional computing system. This is why the design of such a system drove us to a very fruitful interdisciplinary interplay. It combines neural networks, brain calculi or membrane computing under the framework of DNA computing. An introduction to the system construction is presented. It describes the molecular level of the construction. The last section presents a short case study in order to illustrate the system functionality at this level.

Keywords: neural computing, evolutionary computing, natural computing, hybrid intelligent systems, nature inspired computing techniques, evolutionary computing, PrP – prion protein, PrPc – cellular PrP.


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