Neural networks that mimic the human brain: Turing machines versus machines that generate conscious sensations

Abstract

This paper shows that neural-net based machines may be designed to mimic the consciousness-sensations generated by the human brain. It is shown that the standard definition of biological modalities of the tactile and visual receptors, coupled with the law of specific nerve energy, leads to a fundamental relationship that relates human subjective experiences, or consciousness, to explicit neuronal activity. Such a relationship is a giant leap forward in the study of consciousness since it converts the parameters of consciousness, which have never been amenable to mathematical calculations, into mathematically calculable functions. © 2009 Springer Berlin Heidelberg.