New Ideas for Brain Modelling 2

Conference paper

DOI: 10.1007/978-3-319-14654-6_2

Part of the Studies in Computational Intelligence book series (SCI, volume 591)
Cite this paper as:
Greer K. (2015) New Ideas for Brain Modelling 2. In: Arai K., Kapoor S., Bhatia R. (eds) Intelligent Systems in Science and Information 2014. Studies in Computational Intelligence, vol 591. Springer, Cham


This paper describes a relatively simple way of allowing a brain model to self-organise its concept patterns through nested structures. For a simulation, time reduction is helpful and it would be able to show how patterns may form and then fire in sequence, as part of a search or thought process. It uses a very simple equation to show how the inhibitors in particular, can switch off certain areas, to allow other areas to become the prominent ones and thereby define the current brain state. This allows for a small amount of control over what appears to be a chaotic structure inside of the brain. It is attractive because it is still mostly mechanical and therefore can be added as an automatic process, or the modelling of that. The paper also describes how the nested pattern structure can be used as a basic counting mechanism. Another mathematical conclusion provides a basis for maintaining memory or concept patterns. The self-organisation can space itself through automatic processes. This might allow new neurons to be added in a more even manner and could help to maintain the concept integrity. The process might also help with finding memory structures afterwards. This extended version integrates further with the existing cognitive model and provides some new conclusions.


Neural modelling Self-organise Connection strengths Mathematical process 

Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  1. 1.Distributed Computing SystemsBelfastUK

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