New Ideas for Brain Modelling

Abstract

This paper describes some biologically-inspired processes that could be used to build the  sort of networks that we associate with the human brain. New to this paper, a "˜refined' neuron will be  proposed. This is a group of neurons that by joining together can produce a more analogue system, but with  the same level of control and reliability that a binary neuron would have. With this new structure, it will be  possible to think of an essentially binary system in terms of a more variable set of values. The paper also  shows how recent research can be combined with established theories, to produce a more complete picture.
The propositions are largely in line with conventional thinking, but possibly with one or two more radical  suggestions. An earlier cognitive model can be filled in with more specific details, based on the new research  results, where the components appear to fit together almost seamlessly. The intention of the research has  been to describe plausible "˜mechanical' processes that can produce the appropriate brain structures and  mechanisms, but that could be used without the magical "˜intelligence' part that is still not fully understood.
There are also some important updates from an earlier version of this paper.
Keywords: neuron, neural network, cognitive model, self-organise, analogue, resonance.