New Ideas for Brain Modelling 3
This work addresses brain modeling for neuroscience, but it is incremental as it closely follows earlier research in the series.
This paper tackles the problem of modeling sequences of neuronal patterns in the human brain by proposing a process for their creation and firing, building on earlier research with concepts like entropy and cohesion. It demonstrates how inter-pattern links can be determined and introduces a compact Grid form of a Counting Mechanism as a potential new clustering technique.
This paper considers a process for the creation and subsequent firing of sequences of neuronal patterns, as might be found in the human brain. The scale is one of larger patterns emerging from an ensemble mass, possibly through some type of energy equation and a reduction procedure. The links between the patterns can be formed naturally, as a residual effect of the pattern creation itself. This paper follows-on closely from the earlier research, including two earlier papers in the series and uses the ideas of entropy and cohesion. With a small addition, it is possible to show how the inter-pattern links can be determined. A compact Grid form of an earlier Counting Mechanism is also demonstrated and may be a new clustering technique. It is possible to explain how a very basic repeating structure can form the arbitrary patterns and activation sequences between them, and a key question of how nodes synchronise may even be answerable.