Toward an evolvable neuromolecular hardware: a hardware design fbr a multilevel artificial brain with digital circuits

A biologically inspired neuromolecular architecture implemented on digital circuits is proposed in this paper. Digital machines and biological systems provide different modes of information processing. The former are designed to be effectively programmable, whereas the latter have self-organizing dy namics. Previously, we developed a multilevel computer model that captures intra- and interneuronal information processing. The experimental results s howed that this self-organizing model has long-term evolutionary learning c apability that allows it to learn in a continuous manner, and that the func tion of the system changes as its structure is altered. Malleability and gr adual transformability play an important role in facilitating evolutionary learning. The implementation of this model on digital circuits would allow it to perform on a real-time basis and to provide an architectural paradigm for emerging molecular or neuromolecular electronic technologies. (C) 2002 Elsevier Science B.V. All rights reserved.